
AI Voice Agents - The Complete Guide to Voice Chat (2025)
Learn everything about an AI voice agents, its benefits, implementation tips, and the AI voice chat applications for business success.
Longer wait times, high call volumes, and language barriers in call centers often frustrate customers. Complex interactive voice response (IVR) menus only add to the problem, leading to customer dissatisfaction. That’s why companies are adopting smarter self-service solutions like artificial intelligence (AI) voice agents. In fact, experts predict the voice bot market will reach $98.2 billion by 2027, showing a clear trend toward smarter solutions to improving customer experience.
AI voice agents technology combines Natural Language Processing (NLP), machine learning, and voice recognition to transform customer interactions. It provides quicker, more efficient service and improves the overall customer experience.
In this guide, we'll explore what AI voice agents are, their key features, practical use cases, and tips on how to implement a voice agent in your business.
What is an AI voice agent?
An AI voice agent is a two-way conversational tool that communicates with the customer. It automates inbound and outbound calls without human intervention and transfers calls to a human agent when needed.

The biggest advantage? Callers can navigate an IVR by speaking naturally, without listening to long, complex menus or pressing numbers on a keypad.
Popular AI voice agent examples include Apple's Siri, Google Assistant, and Amazon's Alexa. These tools simplify interactions, provide instant answers, and automate tasks. In contrast, advanced bots like IBM’s Watson Assistant and Microsoft’s Cortana handle customer support, sales inquiries, and internal communications.
Types of AI voice agents
Here’s a breakdown of the four main types of AI voice agents and how they can benefit your business:
Rule-based AI voice agent
Rule-based voice agent use predefined sets of questions and rules to offer answers or perform tasks. Such voice agents handle routine tasks and customer FAQs. They answer all queries that fall under the if-this-then-that logic.
For example, an e-commerce site using a bot to guide customers in checking their order status or a banking site handling routine inquiries like balance checks, bill payments, transaction histories, etc.
AI-assisted voice agent
AI-assisted voice agents use machine learning and natural language to interpret conversations so they can analyze the context and grasp what the speaker means. This makes them far more capable and user-friendly than the conventional, rule-based voice agents.
Let’s suppose a user asks Alexa, 'What's the weather tomorrow?' and then follows up with, 'How about next week?' it remembers the context. This adaptability means customers don’t have to repeat themselves, creating a more contextual customer experience.
Conversational AI voice agent
Conversational voice agents make conversations using natural language. They’re more nuanced than AI-assisted voice agents as they can handle complex conversations using everyday language to create more personalized interactions.

Google Duplex, and IBM Watson Assistant, are examples of conversational voice agents. They can make phone calls, make reservations, and handle natural conversations with a human-like tone.
Voice-activated voice agent
These bots use voice commands to answer practical questions and perform routine tasks. They are more flexible than personal voice agents that adapt to speakers and perform customized tasks.
Such bots serve as digital assistants to AI-assisted bots like Siri.
How does an AI voice agent improve customer engagement?
A customer calling your sales team wants to feel valued and understood. An AI voice agent does that. It puts the customer at the center, creating a better experience and driving business benefits as a result. Let’s understand it with a few use cases.
Use case: Get a quick update on order status, 24/7

Assuming the AI voice agent is integrated into your CRM, it greets the customer by name. Instead of navigating through a branched IVR to get their order status, the customer can simply say ‘order status’ and the voice bot pulls out the order details from the CRM and gives the user a real-time update within seconds.
Sheraz Ali, the Founder of HARO Links Builder states that their voice agent managed over 30% of customer interactions in one of their company projects and drastically reduced wait times.
“It also improved our response efficiency and led to a 20% increase in customer satisfaction scores and a reduction in operational costs within three months.”
Benefits:
- Decreased waiting time.
- Limited IVR menu navigation.
- No human intervention is required.
- Quick response times.
- Reduced business costs.
- Tangible increase in customer satisfaction.
Use case: Improve language learning for students

A language learning platform uses a voice agent to provide real-time translations and personalized tutoring. So the voice agent instantly supports students in any subject by translating and clarifying complex terms in their preferred language.
Benefits:
- Reduced requirement for multilingual staff.
- Increases inclusivity as the bot answers in the user’s preferred language.
- Language barriers are removed.
Use case: Improve patient outcomes in healthcare

It's easy to miss appointments or forget to deliver prescriptions to the patient’s home timely. A healthcare service can employ a voice agent to deliver personalized care and offer preliminary health assessments, medication reminders, and easy appointment scheduling, all according to the individual patient's needs.
Benefits:
- Saves time by streamlining appointment bookings.
- Ensures medication adherence with timely reminders.
- Reduces workload for healthcare providers with automated support.
Use case: Streamline routine financial services

Once integrated with the banking system, the voice agent automates routine financial tasks, provides instant account information, processes transactions, and delivers personalized financial advice around the clock.
Benefits:
- 24/7 access to financial services without wait times.
- Improves customer experience with quick, accurate responses.
- Automates routine tasks, freeing up staff for complex queries.
- Provides personalized advice to improve financial decision-making.
Use case: Get personal shopping assistance

An e-commerce platform can use a voice agent to assist customers with product selection, provide personalized recommendations, and automate the sales process from start to finish.
Benefits:
- Delivers a personalized shopping experience 24/7.
- Boosts sales with customized recommendations.
- Reduces cart abandonment by guiding customers to checkout.
- Improves customer satisfaction with fast, accurate service.
Features of an AI voice agent
To understand why voice agents are so effective, let’s look at the key features that improve the overall customer service experience while streamlining business operations.
The best voice agents for businesses come equipped with:
Natural language understanding (NLU)
An AI voice agent understands user queries by converting speech into text using AI and NLP. It then forms an appropriate response and converts it back into speech using text-to-speech (TTS) technology. This ability to understand and respond in natural, conversational language sets AI voice agents apart from traditional IVR systems, which rely on rigid, menu-based responses.

Personalization capabilities
Customers want quick, personalized responses to their queries, unlike complex IVR systems that frustrate them with lengthy menus. An AI voice agent offers contextual conversations, adapting to the user’s intent. It detects speech cues, skips irrelevant interactions, and also transfers calls to the right agent.
Hence, when comparing voice agents to IVRs, the bot's ability to offer personalized interactions like a human outshines communication systems that follow even the best IVR practices.
Multi-language support
AI voice agents break down language barriers, supporting multiple languages to provide a more inclusive and accessible customer experience. Businesses can easily connect with diverse customer bases across the globe.
For instance, Plivo supports speech recognition in 27 languages and their regional variants.
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Integration with other platforms and services
AI voice agents easily integrate with platforms like customer relationship management (CRM) systems, Enterprise resource planning (ERP) tools, and ticketing software. They access and update customer data in real time to ensure accuracy.
These bots also pull relevant details, automate follow-up actions, and sync with communication channels like email or chat. This creates a personalized and consistent customer experience across all touchpoints.
Benefits of voice agents
Let’s now look at the benefits of AI voice agents.
Enhanced user experience
Many businesses have concerns over the quality of a voice agent for customer service. However, a voice agent answers queries quickly regardless of the time of the day. Speedy, reliable answers are important to providing excellent service, making voice agents an invaluable tool for businesses looking to improve customer satisfaction.
Additionally, businesses can:
- Handle routine queries and common tasks faster than human agents.
- Remove the need for users to navigate complex IVR menus.
- Manage high-volume calls without errors.
Better cost efficiency
An AI voice agent doesn’t just save time, it also saves money. It boosts user satisfaction and reduces support times by automating repetitive queries. This frees up staff for higher-value tasks, and interacting with customers after hours has improved lead conversion.
The direct benefits to businesses are:
- Reduces the need for a larger customer support team.
- Allows human agents to focus on complex, high-value inquiries.
- Engages users outside business hours to boost marketing return on investment (ROI).
- Lowers training costs and minimizes the risk of providing incorrect information.
Accessibility for users with disabilities
With over one billion people living with disabilities worldwide, voice agents make services more inclusive. They enable hands-free, accessible interactions, allowing customers with visual, motor, or cognitive impairments to engage with the business easily. This not only improves customer satisfaction but also broadens the company’s reach to a more diverse audience.
Data collection and analysis for improved services
Voice agents don’t just serve customers — they also gather insights. Use this data to analyze data and improve services, personalize marketing efforts, and make more informed business decisions.
24/7 availability
Unlike human agents, voice agents are always accessible. They ensure customers get help whenever they need it, contributing to a more consistent and reliable customer experience.
Future of AI voice technology
As IBM's data engineer, Chris Hay puts it, "We're entering an era where every mom-and-pop shop can have the same level of customer service as an enterprise." This statement captures the transformative potential of voice recognition technology.
AI voice chat applications benefit businesses of all sizes by delivering top-tier customer experiences. Tech giants are already paving the way. Microsoft has updated its Copilot AI with advanced voice capabilities, allowing it to handle complex queries with natural language reasoning, while Meta has introduced voice AI to its messaging apps.
AI voice assistants will move beyond smartphones, integrating into wearable devices like the recently unveiled Meta Orion augmented reality glasses. For businesses handling sensitive client relationships, this could mean smarter, empathetic bots that mirror the tone and approach of a human assistant.
Key upcoming trends:
- Hyper-personalization: Customized voices and targeted recommendations.
- Advanced problem-solving: Managing complex queries using natural language.
- Real-time analytics: Analyzing customer tone for deeper insights.
Yet, challenges remain. Arvind Rongala, the founder of a skill-management solution provider, shares, “There are still issues, especially with data privacy and ensuring interactions are human-like. In addition to resolving problems with bias in training data and regulatory compliance, businesses must strike a balance between automation and personalization. For example, adhering to GDPR regarding the storage of voice data can be challenging, but doing so is essential to fostering trust.”
Ultimately, businesses need to prioritize data security, explore multi-device integration options, and develop stronger contextual understanding for natural interactions.
Launch an AI voice agent with Plivo
Any scaling business needs a voice agent that's easy to integrate, globally accessible, and cost-effective without sacrificing quality.
Plivo checks all these boxes, offering seamless integration, seven global points of presence for low-latency interactions, and competitive rates starting at just $0.0040 per minute. It's ideal for businesses willing to scale while keeping operational costs in check.
In fact, Plivo can reduce operational costs by up to 40%.
Moreover, its commitment to reliability is backed by a 99.99% uptime guarantee, with failover capabilities that switch within two seconds if any disruptions occur.
You can launch voice agents with Plivo using just a few lines of code.
- Log in to your OpenAI Account: Secure your API key and RealTime API access.
- Log in to your Plivo Account: Sign up and get a voice-enabled number.
With integration options for leading speech-to-text (STT) and TTS providers like Deepgram and ElevenLabs, you can launch AI voice agents in multiple regions, including India, using local numbers.
Use Plivo-powered voice agents for:
- Personal shopping assistance: Offer personalized recommendations, go through product selections, and close sales.
- Healthcare automation: Improve patient outcomes with medication reminders, and appointment scheduling, and offer preliminary health assessments.
- Inclusivity in education: Break language barriers in learning with real-time translations and personalized tutoring across multiple subjects.
- Routine financial services automation: Provide instant account information, personalized financial advice, transaction processing status, etc. to customers.
With a 24/7 AI voice agent, your business can handle these tasks around the clock, ensuring that customers are never left waiting. Want to improve customer experience with Plivo? Contact us today.

8 Best AI Voice Automation Platforms in 2026
e Automation Software for Sales & Support (2026) Meta Description: Explore the 8 best AI voice automation platforms in 2026. Compare enterprise-ready tools for sales, support, scheduling, and intelligent call handling.
8 Best AI Voice Automation Platforms in 2026
The era of "Press 1 for Sales" is effectively over. In 2026, customers expect immediate, intelligent conversation, and businesses that stick to rigid keypad menus are actively losing revenue.
Modern voice automation has evolved far beyond simple call routing. Today's best platforms enable you to deploy infinite agents that sound, think, and react like your top employees, handling complex sales objections, scheduling appointments, and resolving support tickets without a human ever picking up the phone.
But with hundreds of new tools flooding the market, finding one that actually delivers low latency and stability is a challenge. We have analyzed the top contenders to bring you the 8 platforms that are truly enterprise-ready.
Here is the list.
How to select the best AI voice automation platforms
To ensure this list serves both technical engineering teams and non-technical business owners, we evaluated eight platforms based on four critical performance metrics:
- Latency & Human-Likeness: We prioritized platforms that minimize the "awkward pause" (sub-1000ms response times) and offer voices that capture human nuance, including the ability to handle interruptions and "barge-ins" naturally.
- Integration Capabilities: A voice agent is only as good as the data it can access. We selected tools that offer deep, native integrations with major CRMs (HubSpot, Salesforce) or robust APIs that allow the agent to trigger complex backend actions.
- Reliability at Scale: We looked for infrastructure capable of handling hundreds of concurrent calls without degrading audio quality or crashing, ensuring stability for high-volume campaigns.
- Flexibility (Code vs. No-Code): We purposefully included a mix of "developer-first" APIs (for maximum control) and "no-code" visual builders (for rapid deployment) to cater to different organizational needs.
Also Read: AI Voice Agents-The Complete Guide to Voice Chat
A Quick Overview of the Best AI Voice Automation Platforms
| Tool | Best for | What it does best | Key strengths | Pricing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Plivo | Businesses needing reliable AI phone calls at any scale | Automates real customer phone conversations across voice, SMS, and WhatsApp | Owns its full telephony stack for ultra-low latency and 99.99% uptime | Pay-as-you-go; Enterprise from ~$1,000/month | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Bland AI | Enterprises running very high call volumes | Handles massive inbound and outbound call campaigns | Scales concurrent calls with highly programmable logic | Custom pricing (contact sales) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Vapi | Developers building custom voice agents with BYOK | Orchestrates STT, LLMs, and TTS with extremely low latency | Model-agnostic, developer-first infrastructure | Usage-based, $10 free credit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Retell AI | Developers turning LLMs into voice agents fast | Converts existing LLMs into real-time phone agents | Industry-leading latency with minimal VoIP setup | Pay-as-you-go; Enterprise available | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Synthflow | Agencies and non-technical teams | Builds appointment booking and lead intake agents without code | Visual builder with deep CRM integrations | Pay-as-you-go; Enterprise tier | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Poly AI | Large consumer brands with complex calls | Handles messy, interrupt-driven customer conversations | Best-in-class speech understanding for accents and noise | Custom enterprise pricing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cognigy | Enterprises with regulated contact centers | Automates complex support flows with compliance controls | Hybrid NLU + GenAI for safe automation | Custom enterprise pricing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Talkie AI | Healthcare clinics and medical offices | Pros
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Pricing Plivo offers pay-as-you-go pricing on our Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support. Bland AIBest for: Hyper-scalable, enterprise-grade automated phone calls and voice agent workflows where large call volumes and deep customization matter most. Bland AI is a voice automation platform focused on handling both inbound and outbound phone interactions using realistic conversational AI. Built with enterprise needs in mind, it provides programmable call flows, voice synthesis, and integration hooks that let teams automate complex telephony use cases, such as sales outreach, customer support, appointment reminders, and high-volume engagement, without relying on large human call center teams. Key features
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Pricing Bland AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes. VapiBest for: Developers who want a low-latency orchestration layer to mix and match the best AI models (BYOK) for their specific needs. Vapi is a dedicated infrastructure that glues together various AI components rather than offering a single black-box solution. It handles the difficult mechanics of voice conversation, such as turn-taking, endpointing (knowing when someone has finished speaking), and latency optimization, while allowing you to plug in any provider you want. This means you aren't locked into a specific voice model; you can use Deepgram for transcription, OpenAI for intelligence, and ElevenLabs for speech, all orchestrated seamlessly by Vapi. Key features
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Pricing Usage-based, pay-as-you-go pricing with a free $10 credit, plus custom enterprise plans via annual contract. Retell AIBest for: Developers seeking the fastest route to convert an existing LLM into a low-latency voice agent. Retell AI is an AI voice agent platform that lets businesses build, deploy, and manage conversational phone agents that sound human, handle inbound/outbound calls, and automate routine workflows with low latency and high reliability. It combines speech-to-text, LLM intelligence, and telephony integration into a unified system for customer service, lead qualification, scheduling, and more. Key features
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Pricing No platform fees with pay-as-you-go usage pricing, plus a custom enterprise plan for high-volume teams. SynthflowBest for: Agencies and non-technical teams who need a no-code visual builder to automate appointment setting and lead intake. Synthflow AI is a voice automation platform designed to help businesses automate inbound and outbound phone interactions using intuitive visual builders and enterprise-grade telephony. It combines speech recognition, natural language understanding, and human-like voice synthesis to create AI agents capable of handling real customer conversations at scale. Key features
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Pricing Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month. Poly AIBest for: Large consumer brands (restaurants, hospitality, banking) needing human-like voice assistants that handle messy, complex conversations. PolyAI distinguishes itself by building voice assistants designed for "customer-led" conversations—meaning the caller can speak freely, interrupt, tell stories, or mumble, and the AI will still understand. Unlike developer-focused tools (like Vapi) or sales-focused tools (like Air.ai), PolyAI is a managed enterprise solution. They use proprietary speech recognition models trained specifically on billions of seconds of conversational data to handle heavy accents and background noise better than off-the-shelf models. Key features
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Pricing Poly AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes. CognigyBest for: Large enterprises automating complex contact centers with a mix of precise NLU and Generative AI. Cognigy is an enterprise-grade platform designed to sit directly on top of existing contact center infrastructure (like Genesys or Avaya). It distinguishes itself with a "Hybrid AI" approach, allowing businesses to combine rigid NLU for compliance-heavy tasks (like payments) with Generative AI for natural conversation. This ensures high-stakes customer service interactions are both fluid and strictly controlled. Key features
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Pricing Cognigy does not publish pricing publicly, and you need to contact their sales team for current plans and quotes. Talkie AIBest for: Medical clinics and healthcare providers automating patient scheduling and front-desk triage. Talkie.ai specializes in voice assistants for the healthcare industry, serving as an intelligent virtual receptionist that handles high call volumes without human intervention. The platform focuses on simplifying patient access by autonomously managing appointment bookings, prescription refills, and routing urgent calls, while offering a user-friendly interface for non-technical staff to manage flows. Key features
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Pricing Talkie AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes. How to choose an AI voice automation platform for your businessChoosing the right AI voice automation platform comes down to understanding how it will fit into your team, your workflows, and your growth plans. These questions will help you evaluate options in a practical, business-focused way. 1. Will your team need a no-code tool or a developer-first platform? This matters because the people building and maintaining the system determine how quickly you can launch and improve it. If your team is non-technical, a no-code platform lets you move faster. If you have engineers and need deep customization, a developer-first tool gives you more flexibility long term. 2. How many calls do you need to support now and as you grow? Call volume affects both cost and performance. A platform that works well at a small scale may become expensive or unreliable as usage increases, so it is important to choose something that can grow with your business without surprises. 3. How complex do your conversations and workflows need to be? Some businesses only need straightforward call flows, while others require integrations, branching logic, or real-time actions. The more complex your workflows are, the more important it is to choose a platform that can handle real conversations rather than rigid scripts. 4. How important are voice quality and response speed for your use case? Natural speech and quick responses make a big difference in how callers perceive the experience. If the AI sounds robotic or pauses too long, it can reduce trust and engagement, especially in customer-facing roles like sales or support. 5. Does the pricing model align with how you plan to use the platform? Pricing structures vary widely between platforms. Understanding whether you are paying per minute, per call, or per feature helps you estimate costs accurately and avoid unexpected increases as your usage grows. Try Plivo FreeExploring AI voice automation should feel straightforward and low-risk. Plivo lets you start with a free trial and complimentary credits so you can test real voice automation use cases without any upfront commitment. You can create and run AI-driven phone calls using Plivo’s visual tools or APIs, allowing you to see how automated voice interactions behave in real conditions. This includes testing inbound call handling, outbound call flows, and multi-channel automation across voice, SMS, and WhatsApp, all using your own workflows and data. Starting with a free trial gives you the flexibility to validate performance, reliability, and fit before deciding how extensively you want to adopt AI voice automation across your business. Start your free trial and build your first AI voice automation experience today. ![]() Feb 16, 2026 5 mins 8 Best AI Voice Agents for Recruitment in 2026Discover the 8 best AI voice agents for recruitment in 2026. Compare features, use cases, and pricing to automate candidate screening and hiring. 8 Best AI Voice Agents for Recruitment in 2026Recruitment teams don’t struggle because they lack applicants. They struggle because every job post brings in hundreds of responses, many of them unqualified, and screening them all takes time recruiters don’t have. AI voice agents help by handling the repetitive, early-stage conversations - screening candidates over the phone, asking the right questions, and routing qualified applicants forward - so recruiters can focus on real hiring decisions. In this guide, we’ve curated the top AI voice agents for recruitment, based on what actually matters. Let’s begin. A Quick Overview of the Top AI Voice Agents for Recruitment
Top 8 AI Voice Agents for RecruitmentPlivoBest for: Recruitment teams and hiring platforms that want to run real AI voice agents on actual phone calls, not demos or chat-only experiences. Plivo is a voice-first AI agent and cloud communications platform built to automate real phone conversations at scale. Unlike many AI voice tools that depend on external telephony providers, Plivo owns and operates its telephony, messaging, and AI layers as a single stack. This gives teams more consistent call quality, lower latency, and better reliability as volume increases. For recruitment use cases, this matters because screening calls, qualification conversations, and candidate follow-ups need to work predictably. Teams can start quickly using Plivo’s no-code AI agent builder, Vibe, and then add deeper programmable control through APIs as workflows grow more complex, without switching platforms. Plivo is trusted by Fortune 500 companies worldwide, delivers 99.99% uptime, and complies with standards such as HIPAA, GDPR, SOC 2, PCI DSS, and STAR, making it suitable for high-volume and regulated hiring environments. Key features
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Pricing Plivo offers pay-as-you-go pricing on the Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support. LindyBest for: Recruiting teams that want a flexible, AI voice agent to handle candidate calls, follow-ups, and interview scheduling without heavy engineering work. Lindy is an AI agent platform that lets recruiters deploy voice-enabled AI assistants to manage candidate communication across phone calls, calendars, and workflows. Rather than being a pure telecom infrastructure provider, Lindy focuses on task-oriented AI agents that can talk to candidates, coordinate schedules, and take action across tools like email and calendars. This makes it especially useful for lean recruiting teams that want automation without building everything from scratch. Key features
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Pricing Lindy offers a free plan with 400 credits per month. Paid plans start at $49.99 per month. TwilioBest for: Engineering-led recruiting teams that want to build highly customizable AI voice agents on top of enterprise-grade voice and messaging infrastructure. Twilio is a cloud communications platform that provides programmable APIs for voice calls, SMS, and messaging. In recruitment, it’s often used as the underlying infrastructure for AI voice agents that handle candidate screening calls, interview scheduling, reminders, and follow-ups. Rather than offering ready-made recruiting agents, Twilio gives teams the building blocks to design custom voice workflows tailored to their hiring process. Key features
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Pricing Usage-based, pay-as-you-go pricing starting at roughly $0.008–$0.014 per minute for voice calls, with additional costs for phone numbers and advanced features. HeyMiloBest for: Recruiters and staffing teams that want AI-powered voice interviews and automated candidate screening at scale. HeyMilo is a recruitment platform built around conversational AI voice and multimedia interviewing, designed to automate candidate engagement, screening, evaluation, and structured interviews. Instead of just asking preset questions, HeyMilo’s AI adapts dynamically to candidate responses and delivers data-backed insights tailored to each role. Key features
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Pricing HeyMilo does not publish pricing publicly, and you need to contact their sales team for current plans and quotes. SynthflowBest for: HR departments at mid-sized companies looking to automate interview scheduling and FAQ handling. Synthflow is a no-code conversational AI platform that lets users design, launch, and manage AI voice agents to automate phone interactions. Rather than providing a ready-made recruiter bot, Synthflow gives teams a visual builder where they can create custom voice workflows. It emphasizes flexibility and usability, making it suitable for recruiting teams that want to own their own voice agent logic without writing code. Key features
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Pricing Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month. CloudTalkBest for: Teams that need a cloud-based calling platform with AI voice agents and automation. CloudTalk is a cloud call center platform that combines VoIP calling with AI-powered automation and voice agents. While it’s not built exclusively for recruitment, its AI voice agents, smart dialers, and call routing features make it well-suited for hiring teams that rely heavily on phone communication. Recruiters can use CloudTalk to automate outbound candidate calls, handle inbound inquiries, and track call performance through built-in analytics and conversation intelligence. Key features
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Pricing CloudTalk offers user-based subscription plans for its core calling platform, starting at $25 per user/month when billed annually, with higher tiers adding advanced features like analytics and automation. TalvinBest for: Hiring teams that want an AI voice recruiter focused on structured screening and automated reference checks, not just interview scheduling or call automation. Talvin is an AI recruitment platform built around voice-based candidate screening and reference checks. Its AI conducts structured, conversational interviews over voice to assess communication, experience, and role fit, then follows up with automated reference calls to gather standardized feedback. Talvin is positioned less as a general-purpose voice agent and more as a screening and validation layer that helps recruiters qualify candidates before human interviews. Key features
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Pricing Talvin’s plans start at $175/month and scale up to $750/month, based on interview volume and hiring needs. VoiceFlowBest for: Product-led recruiting teams that want to design and control the logic of AI voice conversations before deploying them on phone calls. Voiceflow is a collaborative platform where teams design, develop, and launch AI agents using their preferred models and integrations. In practice, you build an agent by first creating a knowledge base, then adding workflows that define what the agent should do, integrating third-party tools through APIs, and finally launching the agent through Voiceflow’s web chat UI or the Dialog API. For recruitment, this is useful when you want an agent that can answer candidate questions, guide screening conversations, and trigger workflow steps like collecting details, confirming availability, or handing off to a human, all while staying consistent with your hiring process. Key features
Pros
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Pricing Voiceflow offers a free Starter plan, with paid plans starting at $60/month (Pro) and $150/month (Business), while Enterprise pricing is custom for high-volume teams. Questions to ask before choosing an AI voice agent for recruitment1. Who actually owns the calling infrastructure? When evaluating an AI voice agent, one of the first things to understand is how calls are handled behind the scenes. Some platforms rely heavily on third-party telephony providers, while others manage their own calling infrastructure more directly. This distinction matters because it affects call quality, routing control, and reliability as usage grows. Tools with tighter control over their telephony stack tend to behave more predictably, especially when call volume increases or issues need to be diagnosed quickly. 2. Does the agent respond quickly enough to feel natural? Voice conversations depend on timing. Even small delays between a candidate’s response and the agent’s reply can make the interaction feel uncomfortable or disjointed. A well-designed AI voice agent should respond promptly and consistently throughout the conversation. This usually reflects how well speech recognition, language processing, and voice generation work together in real time. If responses feel slow or uneven during a demo, that friction will likely show up even more in real recruiting scenarios. 3. Is the product actually designed for recruitment conversations? Recruitment is not a generic use case. Screening candidates requires structured questions, follow-ups based on previous answers, and clear decision points about what happens next. Some voice agents are flexible but require significant customization to support hiring workflows. Others are built with recruitment logic in mind from the start. The difference shows up in how easily the agent can handle screening, availability checks, and smooth handoffs to human recruiters. 4. How does it handle things going off script? Real conversations are rarely perfect. Candidates interrupt, misunderstand questions, or give incomplete answers. An effective AI voice agent should be able to handle these moments without breaking the experience. This includes asking for clarification, continuing the conversation naturally, or exiting gracefully when needed. Systems that cannot manage these situations tend to feel fragile in real-world use. 5. Will it still work when hiring volume increases? Hiring needs fluctuate. A tool that performs well for a small number of calls may struggle when activity ramps up. It is important to understand how the platform behaves under higher load, both technically and operationally. This includes call quality, reliability, and whether usage scales in a predictable way. A system that handles growth smoothly allows recruiting teams to expand outreach without introducing new problems. Try Plivo freeGetting started with AI voice agents for recruitment doesn’t need to be complicated or risky. With Plivo, you can sign up for a free trial account and get free credits to test real AI-powered phone calls, without committing upfront or changing your existing hiring workflows. You can experiment with live screening calls, candidate follow-ups, and interview coordination using Plivo’s no-code tools or APIs. This lets you simulate real recruiting scenarios with your own data and logic before deciding how deeply you want to scale automation across voice, SMS, and WhatsApp. Get started with your free trial today and begin building your first AI voice agent for recruitment. FAQsWhat is an AI voice agent in recruitment? An AI voice agent is a system that conducts phone conversations with candidates to handle tasks like screening, availability checks, and interview scheduling. Can AI voice agents replace recruiters? No. They are designed to support recruiters by automating repetitive early-stage tasks, not to replace human decision-making. Are AI voice agents reliable for candidate screening? They work well for structured, rule-based screening, but nuanced evaluation and final decisions should still be handled by humans. What should companies look for when choosing an AI voice agent? Key factors include call quality, response speed, recruitment-specific workflows, and the ability to scale reliably with hiring volume. ![]() Feb 16, 2026 5 mins Best AI Voice Agents for E-commerce (2026): Top Platforms ComparedCompare the best AI voice agents for e-commerce in 2026. See which platforms handle real calls, integrate with your stack and scale reliably. Best AI Voice Agents for E-commerce (2026):Top Platforms ComparedE-commerce brands don’t lose customers because of poor products, they lose them because conversations aren’t fast enough. Buyers now expect real-time assistance for order status, delivery issues, returns and payments, often beyond business hours. That’s where AI voice agents help. Unlike IVRs or basic bots, modern voice agents can understand natural speech and intent, answer calls instantly, pull order data from your systems, resolve common issues and hand off to humans when needed. For e-commerce teams, this means fewer missed calls, lower support costs, and faster resolution. This list has analysed the best AI voice agents for e-commerce in 2026, focusing on how they actually perform in production, what role they play in your stack and which types of teams they truly fit. Platform Comparison Top 10 AI voice agents for E-commerce (2026)
PlivoPrimary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
AircallPrimary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
Dialpad AI Primary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
VoiceflowPrimary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
CognigyPrimary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
TalkdeskPrimary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
Five9 Primary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
Kore.ai Primary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
ReplicantPrimary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
Ada Primary Role in Your E-commerce Stack
How It Works in Practice
Smart choice if you
Not a fit if you
FAQs
AI voice agents can handle order status checks, delivery updates, return/refund questions, COD confirmations, appointment scheduling, basic FAQs and call routing. Complex disputes, escalations or edge cases are recommended to move to a human agent.
No. most teams use AI voice agents as a first line of response to handle volume and after-hours calls. Human agents step in only when needed with full context delivered from the AI conversation.
It depends on the platform. Some tools require stitching together telephony, bots and integrations. Others provide native voice, APIs and messaging in one system. Expect anything from a few days for basic flows to a few weeks to make deep integrations.
Yes, if the platform supports APIs or native integrations. This is critical for real use cases like fetching order status, logging calls or updating tickets. Without backend access, voice agents are limited to surface-level conversations.
Voice may not be better for everything but it’s prompt and efficient for urgent issues. Customers call when orders are delayed, payments fail or something goes wrong. AI voice agents help you answer instantly instead of losing the customer to hold music. The Most Practical Path to Voice Automation at ScaleMost AI voice tools look impressive in demos but struggle when real customers call at high volumes. The difference comes down to infrastructure. Platforms that rely on stitched-together telephony, bots and messaging often break under load or add operational complexity. Plivo works because it starts at the network layer. With native telephony, global carrier connectivity across 190+ countries and AI agents that run across voice, SMS, WhatsApp and chat, it’s built for real customer conversations. You can launch fast with no-code tools, integrate deeply via APIs when needed and scale on usage-based pricing without any long-term lock-ins. If your e-commerce team wants reliable voice automation that actually works in production, not just another tool to manage, this is the most balanced and future-proof choice going into 2026. Try Plivo FreeGetting started with Plivo is simple, quick and comes with no strings attached. You can sign up for a free trial account and get free credits to explore the platform’s voice, SMS, chat and WhatsApp capabilities before buying credits or subscribing to the platform. You can experiment with API calls, add phone numbers and build or test workflows using Plivo’s no-code tools helping you simulate real-life use cases like AI voice agents, automated messaging or multi-channel engagement with your own data and logic. Get started with your free trial now and begin building your first insurance agent today. Subscribe to Our NewsletterPlivo’s cloud communications platform is backed by a robust, reliable, fault-tolerant. Thank you for subscribing. Read some of our amazing customer stories. Oops! Something went wrong while submitting the form. ![]() Feb 10, 2026 5 mins Choosing an AI Voice Agent in 2026: A Practical Comparison for Local D2C/Consumer-services BrandsCompare the best AI voice agents for D2C/Consumer-services businesses in 2026. See which platforms handle real calls, integrate with your stack and scale reliably. AI agents Voice Comparison for Local D2C/Consumer-services BrandsFor local D2C and consumer-services businesses, the power of an AI voice agent lies in its ability to directly impact your bottom line, specifically through conversion recovery, logistics automation, and immediate lead qualification. If your current system can’t instantly call back an abandoned cart user, verify a COD order to prevent expensive RTOs, or seamlessly integrate with your inventory to give real-time stock answers, it’s not a scaling tool; it's just a glorified answering machine. This guide is built for the operator who is ready to commit to AI voice in 2026. We cut through the marketing noise to compare platforms based on what truly matters: speed-to-deployment, how effectively they handle high-intent sales conversations without breaking, and their capability to integrate with and automate your e-commerce platform and CRM, ensuring the agent acts as a profit center, not a management burden. Let’s get started. Best Platforms to Build AI Voice Agents for Local D2C Businesses (2026)Plivo : The Vertically Integrated Choice for Scaling D2CFor D2C businesses transitioning from a startup phase to high-volume operational scale, the biggest bottleneck is infrastructure reliability. Plivo is positioned uniquely not just as an AI tool, but as a full-stack architecture built for the enterprise demands of a scaling e-commerce brand. It removes the risk of "vendor stitching" (relying on multiple third parties for phone lines, AI models, and messaging APIs) by providing a single, unified, carrier-grade system. Plivo’s core strength is its integrated Voice AI stack and its own global CPaaS (Cloud Communications Platform as a Service). This means your high-stakes calls, whether for COD verification or instant lead follow-up, are executed on a stable, proven telecom network that Plivo controls entirely, ensuring guaranteed low latency and 99.99% uptime.
Core Capabilities : The Operational Powerhouse
Where is Plivo an ideal fit? Plivo is the ideal choice if you are moving beyond a pilot project and require a single, reliable, high-uptime platform that can manage your core business infrastructure, ensuring maximum control over cost, quality, and performance at global D2C scale. ConvertWayConvertWay is explicitly designed to act as a revenue recovery engine by tackling specific operational challenges like COD verification and abandoned carts. Its primary value is the focus on verifiable, measurable sales recovery. The niche trade-off While unparalleled for conversion optimization on specific e-commerce tasks, ConvertWay tends to operate on a higher, predefined workflow level. Teams looking for deep, custom control over the underlying telephony or the core AI stack (a benefit offered by platforms like Plivo) might find its integrated nature slightly restrictive when building completely custom, mission-critical infrastructure. Core capabilities
Best fit if you
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Jesty CRMJesty CRM's strength for local and D2C consumer services is its all-in-one approach to instant lead response. Jesty is a CRM with an AI voice agent built into its core, allowing it to instantly call, qualify, and manage leads captured from sources like website forms or Google Ads. The niche trade-off Its core value is the integrated CRM for sales velocity, which is superb for lead-heavy businesses. However, its voice component is tied directly to the Jesty ecosystem. Unlike platforms like Plivo, which provide a dedicated CPaaS foundation that integrates into any existing CRM or operations software, Jesty requires you to commit to their CRM for full functionality. Core capabilities
Best fit if you
Not a fit if you
CrestaCresta is the ideal choice for scaling D2C businesses moving into the enterprise space. It focuses on bringing enterprise-grade reliability and quality assurance to the voice channel, prioritizing brand reputation and human-AI collaboration. The niche trade-off Cresta is a premium solution with a price point and complexity tailored for the largest enterprises, which may be prohibitive for many local or scaling D2C companies. While its quality management is superb, it is more of a platform overlay than the core telecom infrastructure offered by Plivo, which provides more direct control over latency and carrier performance. Core capabilities
Best fit if you
Not a fit if you
SierraSierra positions itself as the AI agent for better retail experiences, excelling in lifelike voice quality and pre-purchase guidance. Its focus is on making the voice experience feel premium and conversational. The niche trade-off Sierra's strength is CX quality, but its core focus is often more generalized retail guidance rather than the gritty operational automation (like high-volume COD verification or core telephony management) required by many local D2C brands. It may offer less flexibility in deeply customizing the conversation logic compared to a builder-focused platform like Plivo. Core capabilities
Best fit if you
Not a fit if you
VapiVapi is the go-to tool for D2C businesses with in-house development teams who want maximum control over their AI voice agent's logic, integration, and deployment. It provides the core API stack for building highly customized conversational agents. The niche trade-off Vapi is excellent for developers, but it is an API stack, not a turnkey solution. You are responsible for integrating Vapi with a third-party telephony provider, managing the data flow, and handling the core reliability, which adds complexity. Plivo, by contrast, removes this complexity by offering its own global telephony (CPaaS) integrated with the AI stack. Core capabilities
Best fit if you
Not a fit if you
Retell AIRetell AI is a powerful choice for D2C teams looking to launch mission-critical phone-based automation quickly, specifically excelling in post-call analytics and ensuring consistent performance in demanding scenarios. The niche trade-off Retell is excellent for rapid deployment and analytics, but it often requires you to bring your own telephony or connect to a separate third-party telecom provider. This can lead to increased complexity and cost compared to integrated solutions like Plivo, where the high-reliability CPaaS is a native, unified component. Core capabilities
Best fit if you
Not a fit if you
LindyLindy is a no-code platform that excels in creating AI voice agents for defined business processes like sales qualification, support, and scheduling via a visual, drag-and-drop interface. The niche trade-off Lindy’s biggest strength is its simplicity for non-technical users, but this often means sacrificing the deep, low-level technical control over the underlying telecom infrastructure and AI models. Its ease of use is better for simple, defined workflows, but less suited for the complex, high-throughput, carrier-grade deployments that a vertically integrated CPaaS like Plivo is built to handle. Core capabilities
Best fit if you
Not a fit if you
Salesforce Agentforce (Einstein)Salesforce Agentforce becomes relevant for mid-to-large D2C brands heavily invested in the Salesforce ecosystem. Its strength is its direct access to the Customer 360 data for highly personalized, context-aware interactions. The niche trade-off Salesforce is the ultimate platform for personalization via data, but it is proprietary, highly expensive, and creates vendor lock-in; it only works well if you are already fully committed to the Salesforce environment. For D2C businesses not using Salesforce, the tool is irrelevant, whereas independent solutions like Plivo offer the flexibility to integrate deeply with any existing CRM or e-commerce platform. Core Capabilities
Best fit if you
Not a fit if you
ElevenLabs AgentsElevenLabs, renowned for producing the most human-like, emotionally nuanced voice synthesis on the market, has evolved into a complete Conversational AI Agent platform. Its primary value proposition for D2C is delivering a premium, highly personalized brand voice that builds trust and guides complex shopping or support interactions. The niche trade-off ElevenLabs is the gold standard for voice quality and customization, but it is typically a platform layer that requires integration with a separate telephony provider (like Twilio, Vonage, or even Plivo itself) or requires the user to manage their own SIP trunking for full functionality. While they offer integrated telephony features, D2C teams prioritizing guaranteed, high-volume carrier-grade reliability and vertically integrated infrastructure control, the primary benefit of a dedicated CPaaS provider like Plivo, might find the integration with an external telecom partner adds a layer of complexity. Core Capabilities
Best fit if you
Not a fit if you
What Matters Most in AI Voice Agents (Beyond the Basics)For local D2C and consumer-services businesses, the true test of a voice agent isn't how well it performs in a demo, but how reliably it performs under pressure when revenue is on the line (e.g., during a flash sale or critical COD verification). Here are the five criteria that separate an operational necessity from a costly experiment: 1. Telephony Ownership vs. Conversion ReliabilityThe primary job of a D2C voice agent is conversion and verification (e.g., confirming a COD order or recovering an abandoned cart). If the call drops, the conversion is lost. Many AI voice tools rely on third-party telephony stitched together with the AI layer, leading to unstable performance and limited call success rates, especially with international or regional carriers. What D2C Operators Must Prioritize
Why Plivo Wins Here Plivo runs on its own global CPaaS and carrier-grade telephony stack, removing third-party voice dependencies. This ensures that every high-value outbound call attempt, from COD verification to lead follow-up, is executed with maximum reliability. 2. Real-Time Performance & Revenue LeakageVoice agents that pause, lag, or fail to respond instantly break trust and increase the chance of customer frustration (leading to abandoned carts or canceled orders). For D2C, sub-second latency is mandatory for both customer experience and the success of real-time verification scripts. What D2C Operators Must Validate
Why Plivo Wins Here Plivo’s vertically integrated Voice AI stack is designed for low-latency, real-time conversations on proven infrastructure, ensuring your agent never hesitates when closing a sale or verifying a critical detail. 3. Multi-Channel Context, Not Disconnected OperationsD2C customers often move between channels: they abandon a cart online, receive an SMS reminder, and then receive a voice call for follow-up. Treating each channel as a separate bot creates friction and duplicate work. The agent must remember the entire context. What D2C Operators Must Look For
Why Plivo Wins Here Plivo supports multi-channel agents that share context across phone, SMS, WhatsApp, and chat from a single system, essential for effective abandoned cart recovery and streamlined support operations. 4. Integration Depth for Operational AutomationA voice agent must be able to read from and write to your live operational systems (Shopify, CRM, ERP). Without deep, reliable integration, the agent is useless—it can't verify an address, check stock, or process a refund. This is the difference between a bot and a virtual employee. What D2C Operators Must Prioritize
Why Plivo Wins Here Plivo integrates directly with CRMs and business systems, allowing agents to act on live data (checking inventory, updating orders) and update records automatically, making it a true operational component. 5. Built for D2C Scale, Not Just Demo LaunchA D2C business may experience massive spikes in call volume during sales or marketing campaigns. Many tools designed for simple demos will break or degrade under sustained load. Your agent must be predictable and scalable across high-volume moments. What D2C Operators Must Ask
Why Plivo Wins Here Plivo’s AI agents are built on infrastructure that already powers enterprise-grade voice and messaging at global scale, ensuring that when your business hits its next growth spurt, your voice agent won't be the bottleneck. FAQs
The biggest benefit is revenue preservation and recovery, primarily by automating high-stakes tasks like instant lead qualification and proactive abandoned cart/COD verification calls.
Yes, provided the agent is deeply integrated with your e-commerce (Shopify/WooCommerce) and inventory systems to pull and update real-time order data during the conversation.
Prioritize platforms with low-latency performance (sub-500ms) and advanced TTS models (like those from Plivo or ElevenLabs) that handle interruptions and nuanced, human-like responses.
A No-Code agent (like Lindy) is faster for simple deployments, but an API-First agent (like Plivo or Vapi) provides the control needed to scale customized, reliable integrations with unique D2C backends.
The agent reads live CRM data during calls and writes outcomes back automatically in the form of notes, disposition, next steps and booked appointments. Your team picks up conversations with full context instead of starting from scratch. Try Plivo FreeCurious how an AI voice platform performs in your workflows, not just in theory? Plivo offers a free trial account with credits so you can experiment with voice, SMS, WhatsApp and chat services before committing. When you sign up, you get trial credits, can add a phone number and start testing features like real-time voice interactions and multi-channel engagement using APIs or visual tools like PHLO. This lets you validate performance, integrations, and call flows with your actual data all without upfront cost. Plivo’s trial lets you test core capabilities immediately, making it easy to see how quickly you can build, launch, and refine agents that handle calls, qualify leads and update systems in real time. Get started with your free trial now and begin building your first agent today. ![]() Jan 21, 2026 5 mins AI Voice Agents for Real Estate (2026): 10 Tools Compared, Real Limitations and What Actually ScalesCompare 10 AI voice agents for real estate in 2026. Evaluate response time, CRM integration, multi-channel support, and scalability to find the right solution. AI agents Comparison Real Estate Voice AI voice agents in real estate are all about response time, coverage and quick follow-through. If your system can't answer calls immediately, qualify intent, book tours and update your CRM without manual cleanup, it's not helping you win more deals; it's adding another layer for you to manage. This guide isn't for browsing tools. It's for operators deciding whether to commit to AI voice agents in 2026 and ship something that actually helps you scale. We compare 10 platforms based on how they perform after signup, how fast you can go live, what breaks under real lead volume, and what it takes to keep them working week after week. Top 10 AI Voice Agents for Real Estate (2026)The goal here is simple: Helping you choose an option that you can launch confidently, not replace after the first integration headache. 1. PlivoWhen aiming to build and scale AI voice agents for real estate, you care about two things: reaching prospects first and converting more inquiries into confirmed showings. Plivo excels here since it gives you production-ready AI voice agents that place instant callbacks, answer listing questions from your data, and book tours directly on your agents' calendars. They operate reliably across phone, SMS, WhatsApp and chat without stitching together telephony, AI models and messaging vendors. Plivo is the AI agent builder platform for voice-first, omnichannel experiences—built on a carrier-grade telephony network trusted by Uber, Meta, Zomato, and thousands of businesses worldwide. Business teams can launch agents without writing code using Vibe agent. Engineering teams can orchestrate custom voice agents in code with full control. The foundation is Plivo's global communications infrastructure spanning 190+ countries: 15+ years of proven reliable infrastructure, low latency, and the call quality enterprises demand. Core Capabilities:
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2. Luron AILuron AI is best suited for teams that need 24/7 AI voice agents that never miss calls and qualify leads automatically. It supports multilingual conversations and keeps pacing tight across accents and speaking styles. The system handles inbound and outbound voice conversations in dozens of languages and automates bookings and follow-ups without human staffing. Core Capabilities:
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3. Callers AICallers AI is a platform for automating customer conversations with human-like voice agents that handle both inbound & outbound calls and messaging channels, powered by your brand's data and tone. It's focused on scaling high-volume voice interactions while maintaining contextual continuity across channels in a single branded voice experience. Core Capabilities:
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4. SquadStack AISquadStack AI is best suited for teams that want AI-assisted sales and voice engagement workflows supported by configurable human-in-the-loop automation. It blends automated outreach and qualification with options to escalate to human agents where needed, helpful for revenue teams that are focused on pipeline speed. Core Capabilities:
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5. TelgentTelgent leans into MLS and portal context. It is best for businesses that want always-on voice AI calling with automated scheduling, intelligent call handling and quick setup. Its platform emphasizes immediate activation, seamless integration with existing phone systems and natural AI responses that handle calls, schedule meetings and engage customers day and night. Core Capabilities:
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6. AIOnCallsAIOnCalls is positioned as a virtual receptionist that never misses calls or opportunities. Best for teams that want an always-on voice AI assistant that handles inbound and outbound calls around the clock, engages callers in natural language, qualifies leads, books appointments and updates CRM data. Core Capabilities:
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7. Brilo AIBrilo AI is a business-focused AI phone and voice call agent platform that enables teams to automate real-time voice interactions across industries like real estate. It promises fast setup, natural human-like voice responses, 24/7 coverage, integration with business tools and built-in analytics, all without needing a technical team to get started. Core Capabilities:
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8. VocalDeskVocalDesk is an AI-enabled voice and contact automation platform that helps teams automate calling, lead follow-up, support interactions and scheduling. Its focus is on automated voice conversations and multi-channel engagement with CRM integration and configurable workflows that replace manual outreach tasks. Core Capabilities:
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9. CalldockCalldock is an AI voice agent platform intended for instant lead engagement, automatic qualification and scheduling. Its system calls leads within seconds of form submission, conducts natural conversations and integrates with calendars and workflows to automate follow-ups and booking. Core Capabilities:
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10. YlopoYlopo is a digital marketing and lead gen platform built for the real estate industry. It combines lead capture, nurturing, AI voice calling, AI texting, branded websites and marketing automation into one system that integrates with CRMs and helps real estate teams generate and convert leads. Core Capabilities:
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What Matters Most in AI Voice Agents (Beyond the Basics)1. Telephony Ownership vs. Vendor StitchingMany AI voice tools rely on third-party telephony stitched together with AI layers. This often introduces latency, call drops and limited routing control at scale. What to prioritize:
Plivo runs on its own global CPaaS and carrier-grade telephony stack, removing third-party voice dependencies. 2. Real-Time Performance (Latency & Uptime)Voice conversations break down quickly when responses lag or calls fail. Sub-second latency and high uptime aren't "nice to have"—they're mandatory. What to validate:
Plivo's vertically integrated Voice AI stack is designed for low-latency, real-time conversations on proven infrastructure. 3. Multi-Channel Context, Not Disconnected BotsLeads move between calls, SMS, WhatsApp and chat. Treating each channel as a separate bot creates broken experiences and duplicate work. What to look for:
Plivo supports multi-channel agents that share context across phone, SMS, WhatsApp and chat from a single system. 4. Integration Depth (CRM, Calendars, Workflows)Voice agents don't operate in isolation. Without deep integrations, they become another silo your team has to manage. Prioritize platforms that:
Plivo integrates directly with CRMs and business systems, allowing agents to act on live data and update records automatically. 5. Built for Scale, Not Just LaunchMany tools work well for pilots but struggle under sustained call volume or multi-region deployment. Ask:
Plivo's AI agents are built on infrastructure that already powers enterprise-grade voice and messaging at global scale. FAQsWhat's the fastest way to go live without breaking existing operations?Start with a single, contained flow like after-hours inbound calls or instant lead callbacks. Connect your phone numbers, CRM and calendar, define escalation rules and launch! You can expand coverage once live data validates the flow. How do I ensure voice quality doesn't feel robotic or laggy?Voice quality depends on latency and telephony control. Platforms with integrated telephony and real-time STT/TTS orchestration keep responses sub-second, which is critical for natural conversations that callers don't hang up on. How does the agent stay accurate and compliant with real estate data?The agent should pull from a restricted, curated knowledge source (MLS, IDX, listings) and operate within defined guardrails. When questions exceed scope like pricing nuance, legal terms, fair-housing-sensitive topics, it escalates to a human automatically. What happens when call volume spikes or multiple leads call at once?Calls don't fail—they should queue. High-intent conversations can be routed to live agents, while others are qualified, scheduled or followed up asynchronously. Every outcome is logged so nothing gets lost. How does this fit into my CRM and follow-up workflows?The agent reads live CRM data during calls and writes outcomes back automatically in the form of notes, disposition, next steps and booked appointments. Your team picks up conversations with full context instead of starting from scratch. Try Plivo FreeCurious how an AI voice platform performs in your workflows, not just in theory? Plivo offers a free trial account with credits so you can experiment with voice, SMS, WhatsApp and chat services before committing. When you sign up, you get trial credits, can add a phone number and start testing features like real-time voice interactions and multi-channel engagement using APIs or visual tools like PHLO. This lets you validate performance, integrations, and call flows with your actual data—all without upfront cost. Plivo's trial lets you test core capabilities immediately, making it easy to see how quickly you can build, launch, and refine agents that handle calls, qualify leads and update systems in real time. Get started with your free trial now and begin building your first agent today. ![]() Jan 20, 2026 5 mins Best AI Voice Agents for Customer Support and Service (2026): What to Deploy NowCompare 10 AI voice agent platforms for customer support. Get a practical 30-day pilot framework, implementation workflow, and outcome-driven selection guide. AI agents Contact Center Comparison Customer Service 1) Plivo — The fastest path to production-grade AI voice agents for customer supportA recent Gartner survey found that most customer service leaders plan to explore or pilot conversational GenAI in 2025—making a clear, near-term mandate to deliver something that works on the phone channel, not just in chat. That's your cue to build a reliable voice front door with an AI agent builder platform designed for voice-first, omnichannel experiences. Why Plivo is #1Plivo is the AI agent builder platform that lets you build your way. Whether you're a business leader who needs to launch fast or an engineering team building custom workflows, Plivo meets you where you are. Start with no-code tools that let non-technical teams deploy agents in hours. Go deeper with low-code orchestration for more control. Or build from scratch with full-code frameworks that integrate into your existing stack. You're never forced into a single way of working. What it does for youPlivo's Voice AI stack is modular by design. Want speed? Use the fully integrated platform—STT, LLM, TTS, and telephony—pre-configured and ready to go. Want control? Orchestrate your agents using code with Plivo's Agentic STT models and Telephony, alongside your preferred LLM providers. Want just the connectivity layer? Use audio streaming or SIP trunking and bring everything else yourself. You decide where Plivo ends and your stack begins. Underlying it all is a reliable, carrier-grade telephony platform that scales for enterprises—global PSTN/SIP connectivity, number provisioning and porting, call routing with failover, recording with consent, and clean human handoff with full context into your CRM or help desk. Segment-by-segment fitIf you're SMB, launch fast with no-code tools that let you deploy agents in hours, plus a simple dashboard and connectors for Shopify and Calendly. If you're mid-market, use low-code orchestration for more control, with a modular stack that lets you use what you need—swap in your preferred LLM, STT, or TTS. If you're enterprise, build with full-code frameworks that integrate into your existing stack, plus a modular Voice AI stack to pick-and-choose what you need, governance features (RBAC, audit transcripts, data residency), and contact center integration for high availability and reporting. Start with Voice, go everywhereVoice is the hardest channel to get right—and it's where Plivo leads. But the same flexible building experience extends to WhatsApp, SMS, RCS, and Chat. Build once, deploy across channels, and meet customers wherever they are. Suitable for
No more choosing between a locked-in platform that's easy but limiting, or a DIY approach that's flexible but painful. Plivo gives you both—simplicity when you want it, depth when you need it. Explore the Voice API, check pricing, review compliance, handle numbers & porting, browse case studies, or jump into the quickstart. 2) Google Dialogflow CX — Complex, branching flows without spaghettiKey featuresDialogflow CX uses a flow-and-page model to capture state and branching, so you can manage multi-step intents like returns, warranty claims, and multi-factor verification without dozens of brittle intents. It supports voice and text and includes versioning, experiments, and test tools. For telephony, you can use partner gateways or SIP; for global reach, put Plivo at the edge and connect to CX. Why it mattersComplicated support journeys need explicit state. CX gives you that structure. If your "Where's my order?" workflow forks based on identity checks, fulfillment method, and policy windows, you can keep logic readable and testable. CX also plays well with multilingual experiences and mixed initiative, so callers can change course mid-conversation. Implementation stepsStart with a single high-volume journey and draw it as a CX flow. Add a fallback page with a short menu for noisy lines. Ground the bot in your knowledge base and order system, then add handoff rules. Put Plivo in front for numbers, routing, and recording consent, and pass summaries back to your ticketing system. Suitable forTeams with multiple brands or product lines, where branching grows quickly and consistency matters across regions. 3) Amazon Lex + Amazon Connect — AWS-first voice automation that ops can ownKey featuresLex handles the speech and NLU for voice and text. Connect adds the contact-center fabric: routing, IVR, call recording, and agent desktop. It's a natural fit if your data and apps live in AWS and security prefers IAM-managed access. For global numbers or bring-your-own carrier control, front with Plivo and route into Connect. Why it mattersStaying inside AWS accelerates procurement, security reviews, and monitoring. You can call Lambdas for tool use, search knowledge with Kendra, and use Connect metrics and contact flows your ops team already knows. That shortens time to value and concentrates governance in one place. Implementation stepsDefine one call flow in Connect (ID&V → status lookup → handoff). Build Lex intents from your top FAQs. Add Plivo for number management, routing, and failover. Send summaries back to your CRM or help desk. Keep a barge-in plan for noisy environments and a keypad fallback for payment flows. Suitable forIT-led programs where AWS standardization, auditability, and a single pane of glass for monitoring are priorities. 4) IBM Watson Assistant — Governance-first deployments in regulated industriesKey featuresWatson Assistant supports omnichannel conversations with documented security and governance options, including deployment paths designed for regulated workloads. If your risk office leads the decision, IBM provides clear guidance on audit logging, data handling, and architectural choices. Add Plivo to handle PSTN/SIP, call consent prompts, and compliant recording policies. Why it mattersFinancial services and healthcare teams often need auditability from day one. When you need clear data-handling boundaries and deployment models that align with internal controls, IBM's documentation and support track help you pass reviews without months of back-and-forth. Implementation stepsMap your data-classification rules to Watson's deployment options. Keep contact recordings and transcriptions in your approved storage. Use Plivo's routing and consent prompts to standardize intake across regions. Summarize calls into your case system for full traceability. Suitable forOrganizations with heavy compliance needs, strict data residency, or formal audit trails for every customer interaction. 5) Cognigy.AI — IVR modernization with fine-grained voice controlKey featuresCognigy combines a visual designer with a voice gateway that supports streaming ASR, interruptibility, and transfer control. It integrates with multiple speech providers and enterprise systems like SAP and Salesforce. This lets you tune barge-in sensitivity, error handling, and handoff cues rather than living with a one-size-fits-all IVR. Why it mattersIf callers still hear a menu tree, you're wasting time and goodwill. Cognigy helps you replace rigid menus with natural conversations and graceful escalation. You keep the levers you need—timing, sensitivity, fallback prompts—so the agent feels human, not scripted. Implementation stepsStart with the two intents that create the most queue time. Set barge-in thresholds conservatively and widen them after you test in live traffic. Put Plivo at the edge to manage numbers, recording policies, and failover. Send summaries with disposition tags to your CRM. Suitable forEnterprises with legacy IVRs, high call volumes, and a clear need to reduce effort without ripping out the contact-center core. 6) Salesforce Agentforce — CRM-native service automation where your team worksKey featuresAgentforce brings AI agents into the Salesforce console and data model. Your service team stays in the view they know, while the agent handles common intents, drafts summaries, and routes cases. Add Plivo for calling so every phone interaction lands in Salesforce with the right context. Why it mattersWhen everything you need to resolve an issue already lives in Salesforce, keeping the agent there shortens integration time and improves analytics. Supervisors can coach on the same dashboard and review case summaries, while admins maintain clear governance over data and automations. Implementation stepsPick one queue with repetitive calls. Tie identity checks to account data and warranties. Keep a "press 0 for a human" fallback and make sure the agent passes a clean summary with next steps. Use Plivo for the phone edge so call recordings and consent are consistent across regions. Suitable forService teams that treat Salesforce as the system of record and want automation to feel native—not bolted on. 7) Zoom Virtual Agent for Phone — A 24/7 receptionist and conciergeKey featuresZoom's Virtual Agent for Phone handles greetings, routing, and the most common requests. You train it from existing docs and site content, then turn it on for after-hours or full-time reception. It's built for quick wins like appointment scheduling, store hours, and simple status checks with transfers when needed. Why it mattersIf reception lines clog your switchboard, a front-door voice agent can deflect simple questions without new headcount. As you add skills, you can expand from triage to completing tasks. For broader reach, connect Plivo to add global numbers and transactional notifications via SMS or WhatsApp. Implementation stepsStart with greeting, business hours, and routing. Add appointment booking next. Keep live-agent transfers one click away. If you outgrow the PBX perimeter, bring Plivo in to manage numbers and cross-channel follow-ups. Suitable forSingle-number switchboards, high-volume reception desks, and teams that need a quick, always-on front door. 8) Sierra — Enterprise "autonomous" agents with category momentumKey featuresSierra focuses on enterprise-grade AI agents for customer service with an emphasis on agentic workflows. The leadership and market traction give executives confidence to back bigger bets. If you're evaluating multi-channel automation with rigorous SLAs, Sierra is a credible short-list option. Plug it into Plivo for reliable telephony, recording consent, and global routing. Why it mattersMomentum reduces perceived risk. When you need cross-functional buy-in, a vendor that's already in enterprise production helps. You still need the phone edge right: numbers, routing, and failover that won't buckle under peaks. Implementation stepsDefine two end-to-end journeys (e.g., ID&V + order update; returns approval). Keep human handoff one step away and capture every call summary in your case system. Instrument containment and transfers, then iterate weekly. Suitable forLarge teams planning multi-channel agents and looking for vendor accountability with clear deliverables and timelines. 9) Tidio (Lyro) — SMB eCommerce chat that pairs well with voiceKey featuresTidio blends live chat, an AI agent, and eCommerce integrations. It's a practical way to resolve repetitive questions, free up your team, and capture intent while buyers are on your site. Add Plivo for a simple order-status line and SMS/WhatsApp updates so customers get answers by phone as well as chat. Why it matterseCommerce teams need fast coverage more than complex architectures. You can start with FAQs, then add checkout and account questions. When phone calls spike—promos, holidays—route a basic voice flow through Plivo and keep your agent consistent across channels. Implementation stepsLoad your top FAQs and shipping policies, add a returns flow, and set clear handoff rules. For voice, route a single Plivo number to a lightweight agent that authenticates by order ID and ZIP code, then offers a callback option during peaks. Suitable forLean teams that want to reduce repetitive chat volume now and add phone coverage without standing up a full contact center. 10) Robylon — Multi-channel AI agents focused on support teamsKey featuresRobylon specializes in AI-driven customer support across voice, chat, email, and messaging. It integrates with help desks like Zendesk and Freshdesk, supports multiple languages, and offers analytics dashboards designed for service leaders. It's a pragmatic fit if your help desk is the hub of your operation. Why it mattersYou want human-like conversations that escalate cleanly. Robylon's positioning around support workflows means your ticketing, SLAs, and dispositions stay intact. For reliable calling, use Plivo for numbers, routing, and recording consent so your phone channel matches the quality of your chat channel. Implementation stepsStart with account updates and appointment scheduling. Ground the agent in your help-desk knowledge base and macros. Track resolution time and transfer reasons; refine weekly. Suitable forMid-market support teams who want a focused system that plugs into existing help-desk processes and expands to voice without heavy lifting. How to run a safe, high-signal pilot in 30 daysDefine success firstPick three metrics: containment, transfer rate, and average resolution time. Write a one-line target for each and a go/no-go threshold. Everyone should know what "good" looks like before you take your first call. Start with narrow, high-volume intents"Where's my order?", appointment changes, returns, account updates. These are predictable, frequent, and measurable. Script your handoff sentence so agents never start from zero. Build the right guardrailsAdd a consent prompt, a keypad fallback for sensitive inputs, and a short backup menu for noisy environments. Keep the escalations simple: one route for billing, one for everything else. Ground every answerConnect the agent to your CRM/help desk and knowledge base. If the answer doesn't exist in your source of truth, escalate. Summarize every call into the ticket with disposition and next steps. Iterate weeklyReview 20 call transcripts together. Fix the top three friction points. Update prompts and knowledge. Ship changes. Repeat. FAQWhat's the fastest way to launch a voice agent without changing my stack? Keep your telephony and routing on Plivo, connect your preferred conversation engine, and ground it in your CRM/help desk and knowledge base. Start with one number, one intent, and a simple fallback. How should I measure success in the first 30 days? Track containment, transfer rate, and resolution time. Listen for barge-in moments and interruptions—they reveal prompt and timing issues that you can fix quickly. How do I implement consent, recording, and PCI/PHI safely? Play a clear consent prompt before any recording. Use keypad input for payments or sensitive data. Store recordings and transcripts in approved systems and keep audit logs. When is Dialogflow CX better than Lex, IBM, or Cognigy? Choose CX for complex branching flows and multilingual journeys; Lex when your team standardizes on AWS; IBM when governance and deployment control are paramount; Cognigy when you're modernizing IVR with fine-grained voice settings. How do I handle accents, noise, and barge-in in production? Use a robust ASR, tune your barge-in sensitivity, and keep a keypad fallback. Test in noisy environments and shorten prompts. Summaries help human agents pick up without asking callers to repeat themselves. Conclusion: Build the voice edge once, then scale what worksA measured result to anchor ROI. McKinsey reported that, at one company with thousands of agents, applying generative AI raised issue resolution and lowered handling time—small percentage gains that compound into real savings at scale. That's the kind of lift your leadership expects—and the reason to start with a focused pilot that moves one metric. Bring your "brain" of choice, but keep the phone edge on Plivo so every call connects, every consent is captured, and every handoff carries context. Define three KPIs, pick one journey, and go live with a human fallback. Review transcripts weekly, then scale to the next two intents. Ready to hear what real-time voice feels like? Build your agent or talk to an expert today. ![]() Jun 19, 2025 5 mins RCS Marketing 101: Your Complete GuideDiscover how RCS marketing delivers rich, branded messages that drive engagement for your business. RCS Industry Insights SMS marketing works, but let’s be honest: it feels a bit outdated compared to modern apps. But what if you could send rich, interactive messages with branded content, images, buttons, and carousels straight to your customers’ native messaging apps? Rich communication services (RCS) makes that possible. If you’re ready to explore how RCS marketing can transform your engagement strategy, this guide will walk you through everything you need to know. Let’s get started. What is RCS marketing?RCS marketing uses rich communication services to send interactive, branded messages through a customer’s default messaging app. It’s a modern upgrade to SMS that lets businesses share images, buttons, carousels, and more — all without needing third-party apps. A user on Reddit summed up this perfectly: ![]() RCS lets you send messages that are visually branded with logos and colors while remaining interactive. This turns static updates into an app-like experience inside a message. This shift is part of a broader industry move, led by Google and backed by major mobile carriers, to upgrade messaging infrastructure and make RCS the default standard on Android devices. As support continues to grow, businesses are adopting RCS as part of their customer engagement strategy. Platforms like Plivo make that adoption easier with a reliable, enterprise-grade gateway to deliver rich, reliable RCS campaigns at scale. RCS vs. SMS marketing: A quick comparisonMarketers today are looking for ways to deliver more interactive and visual communication, and RCS is clearly leading the way. While SMS still works well for simple alerts, it lacks the creativity and engagement that RCS marketing offers. Let’s take a quick look at RCS vs. SMS marketing.
4 key benefits of RCS marketingRCS marketing makes messaging feel more natural for both you and your customers. And since you can see what’s working and what’s not, it’s easier to pivot your strategy and get better results. Here are its four key benefits. 1. Improved user interactionOne of the biggest advantages of RCS marketing is how seamless it makes the experience for your customers. Instead of typing out replies or clicking a link to open a website, users can just tap a button right inside the message. Want them to book a demo, check order status, or browse products? It’s all possible with just a tap. Fewer steps mean less effort, and that leads to more people following through. In fact, individuals spend up to 37 seconds engaging with RCS messages, which is a lot longer than most other types of mobile messaging. ![]() That extra time and interaction can make all the difference when you’re trying to convert interest into action. 2. Consistent brand experienceRCS marketing doesn’t just tell people who you are — it shows them. Verified business profiles help people know they’re getting messages from the real brand. Every message shows your brand’s logo, name, colors, and a checkmark. These small details make it clear that the message is coming from a genuine source. ![]() This consistency matters because 88% of people are more likely to buy from a brand they trust. 3. In-depth analyticsWith RCS marketing, you can track open rates, button clicks, and how people interact with each part of your message. You get clear visibility into what’s working and where users are dropping off. This makes it much easier to measure the return on investment (ROI) and fine-tune your campaigns. The more you understand how people engage, the better you can shape your messaging for results. 4. Higher conversion potentialRCS marketing makes it easier for customers to take action — whether that’s browsing products, booking a service, or making a purchase — all within the message itself. With fewer clicks and no need to switch apps, the path to conversion feels effortless. And when it’s that easy, more people follow through. For example, EaseMyTrip used RCS to run a post-COVID travel survey. They added quick-tap answer options and followed up with a thank-you coupon. The campaign saw a 4x higher click-through rate than email, 10x more survey completions, and a 2.7% increase in conversion rate. 5 major use cases of RCS marketingHere are five major use cases showing how brands are using RCS marketing effectively. 1. Product promotionsRCS makes product promotions feel more like browsing a store than reading a message. Brands can send image carousels that customers can swipe through to explore new arrivals, check product details, and see what’s available without leaving their messaging app. ![]() Example: A fashion retailer promoting its spring collection could send an RCS message featuring a carousel of outfits with styled images, prices, and buttons like “View Lookbook” or “Shop Now.” Tapping a button could open a mini product page inside the chat, letting customers browse and buy without switching apps. 2. Abandoned cart remindersThe average cart abandonment rate is over 70%, which means most shoppers never make it to the finish line. RCS marketing can help bring them back by making the reminder more engaging and easier to act on. You can send a message that shows exactly what they left behind, along with a clear button to complete the purchase. It’s visual, straightforward, and the entire experience stays within their messaging app. Example: A home electronics store could follow up with customers who left a pair of wireless earbuds in their cart. The RCS message might include a product photo, the price, and a “Buy Now” button that takes them straight to checkout. 3. Appointment confirmations and remindersA PhD thesis from Manchester Metropolitan University found that forgetfulness is the most common reason people skip their appointments. RCS makes it easier for both businesses and customers to stay on the same page. You can send a message that shows the appointment details along with a simple calendar view. Add buttons to confirm, reschedule, or cancel — all within the chat. ![]() Example: A dental clinic could use RCS to remind patients of upcoming cleanings. The message might show the date, time, and location of the appointment, plus a “Confirm” button and options to “Reschedule” or “Cancel.” Patients can respond instantly, helping the clinic manage its schedule more efficiently. 4. Customer surveys and feedbackGetting feedback is important, but most customers lack the time or patience to complete lengthy forms. RCS marketing makes it easier by allowing brands to ask short, targeted questions and receive quick responses. Plus, the rich features of RCS let you include images, ratings, or multiple-choice options, making feedback feel more like a conversation. Example: A restaurant could send an RCS message after a meal asking customers to rate their experience with simple buttons like “Excellent,” “Good,” or “Needs Improvement.” The message might also include a photo of the dish they ordered and a quick question like, “What did you like most?” This quick interaction makes it easy for customers to respond and gives the restaurant valuable insights. 5. Customer support follow-upsAfter a support request is resolved, following up shows customers you care and helps close the loop on their experience. But if the follow-up message gets buried in an email inbox or goes unnoticed, that opportunity to connect is lost. With RCS marketing, you can send a quick message to check if everything’s working fine. You can include helpful buttons like “Change Password,” “Manage Account,” or “Talk to Support.” ![]() RCS marketing myths and realitiesDespite RCS marketing’s growing adoption and proven results, some common misconceptions still hold businesses back from trying it. Let’s look at a few of the biggest myths and what’s actually true. Myth 1: RCS marketing is too expensiveAt first glance, RCS business messaging can seem like a pricey upgrade. Rich visuals, tap-to-action buttons, and branded layouts look premium, so it’s easy to assume they come with a hefty cost. But cost alone doesn’t tell the full story. What you get in return matters more. RCS drives significantly stronger engagement with higher click-through rates, increased interactions, and better overall outcomes. Take Club Comex, the loyalty program of North American paint brand Comex. They sent two rich and interactive RCS campaigns to their members and saw a 10x higher click-through rate, which helped increase revenue by 115%. That’s the value side of the equation. Better targeting and richer content mean more people click, engage, and convert. Myth 2: RCS marketing doesn’t reach enough users to be worth itThis concern made sense in the early days of RCS, when adoption was still catching up. But the landscape looks very different now. In June 2024, the 12-month growth of RCS users reached 36.3%, showing faster uptake than other messaging channels. More Android devices support RCS by default, and it’s being rolled out across more networks globally. Even Apple has announced support, which means RCS is on track to reach a massive number of smartphone users worldwide. With that kind of growth and widespread support, the hesitation around RCS is starting to fade. Brands can confidently invest in RCS marketing knowing it will connect with more customers than ever before. Myth 3: RCS gets treated like spam and ends up ignored just like emailsUnlike email, RCS messages appear directly in the user’s primary messaging app alongside personal conversations. They include rich media and interactive elements, making them more engaging and less likely to be ignored. This creates a more natural, conversational experience that drives higher open and response rates than traditional marketing channels. Why choose Plivo for your RCS marketing needsWith RCS, you can turn simple messages into rich, branded conversations that feel more like chatting than broadcasting. Plivo gives you the tools to make that shift without the hassle. From verified messaging to smart automation, everything works together to help you connect better and respond faster. When combined with AI Agents and a unified customer data platform, RCS becomes more than just messaging. You can deliver personalized experiences at scale, automate everyday interactions, and keep conversations flowing without lifting a finger. Here’s what you get with Plivo’s RCS API:
With Plivo’s no-code tools, you can quickly launch AI-powered RCS messaging across channels and deliver a consistent customer experience from day one. See how you can launch your first RCS marketing campaign with Plivo by requesting a demo today! ![]() Jun 19, 2025 5 mins WhatsApp Agent Setup: How to Launch AI-Powered Conversations at ScaleLearn how WhatsApp agent setup works using Plivo to launch AI-powered, no-code agents that handle support, sales, and engagement at scale. WhatsApp Business API How To AI agents Use Cases Your customers are on WhatsApp but are your agents? If you’re still relying on manual replies, scripted chatbots, or email follow-ups, you’re leaving response time and revenue on the table. The smarter path? AI-powered WhatsApp agents. They’re full-service, no-code agents that can resolve issues, qualify leads, and send personalized offers 24/7. In this guide, we’ll walk you through WhatsApp agent setup using Plivo and understand how these agents help you automate conversations that convert. What is a WhatsApp AI agent?A WhatsApp AI agent is an automation designed to operate over the WhatsApp Business API. Unlike scripted bots, agents are built to understand intent, pull in context from your internal systems, and complete business tasks like answering account-specific questions or initiating transactions. Plivo’s WhatsApp AI agents can be trained to use your brand voice, integrated with your CRM or helpdesk, and customized to handle specific use cases, such as subscription renewals, cart recovery, refund processing, or customer onboarding. They are accessible through a no-code interface and support a multilingual, omnichannel customer experience across WhatsApp, SMS, RCS, and voice. What you need before setting up your agentTo go live with a WhatsApp agent, you need:
Also read: How to Create WhatsApp Message Templates: A Complete Guide Optional but recommended integrations:
Pro tip: If you want to fast-track API access and template approval, using a BSP like Plivo saves weeks of back and forth with Meta. Step-by-step: How to set up a WhatsApp agent with PlivoFollow this step-by-step guide for a smooth WhatsApp agent setup with Plivo. Step #1: Choose your primary use case and define agent scopeDon’t build a generic bot. Start with why you’re automating. This could be handling support queries, sending order updates, re-engaging inactive customers, or managing subscription renewals. ![]() Plivo provides a library of prebuilt AI agents for common use cases like cart recovery, lead qualification, appointment reminders, and product recommendations. You can choose to use one as-is or customize it to fit your business process. Each agent is compatible with WhatsApp and designed to operate across channels as needed. Your online pet supply business sells dog food with a typical reorder cycle of 30 days. You want to automate reminders for repeat customers, so they never run out. The goal is to build a WhatsApp AI agent that:
Pro tip: If you're unsure where to begin, look at existing interactions on WhatsApp that are repetitive, time-sensitive, or frequently escalated — these are ideal starting points for automation. Step #2: Build the agent using Plivo’s no-code platformSince your API access is already set up, you can begin building your agent in Plivo’s Agent Studio. This is a visual, drag-and-drop builder where you create conversation flows using blocks that represent actions, responses, conditions, and triggers. ![]() You can structure your flow to respond to specific keywords, match customer intent, route inquiries to different departments, or escalate to a live agent when needed. Each step in the journey can include media-rich responses like buttons, product carousels, quick replies, and file attachments. Beyond logic design, you can also configure fallback rules for when the agent is unsure, and add human handoff conditions to ensure escalations happen smoothly with full context transferred to the live agent. ![]() Example: In Agent Studio, you set up a trigger to activate the agent 25 days after a customer’s last dog food purchase. The agent starts with: “Hi Alex! It’s almost time to restock Luna’s Chicken & Brown Rice dog food. Want us to ship it today with 10% off?” Depending on the customer’s reply:
This step allows you to fully customize the agent’s tone, workflow, and logic to reflect how your brand communicates.4 Example: In Agent Studio, you set up a trigger to activate the agent 25 days after a customer’s last dog food purchase.
The agent starts with: Depending on the customer’s reply:
Step #3: Train your agent with AIPlivo supports integration with internal systems like your CRM, order management platform, inventory tools, or helpdesk. This means your agent can access real-time customer data, past orders, preferences, and policies to deliver personalized responses. You can also connect your knowledge base, including FAQs, SOPs, product documentation, or policy articles. These resources train the agent to respond accurately and contextually, without needing scripted answers. ![]() For natural language understanding, Plivo gives you the flexibility to choose the AI model that powers your agent. ![]() You integrate your Shopify store to pull order dates and product SKUs. You also sync your product FAQ sheet so the agent can answer:
You power the agent using OpenAI to ensure a natural, friendly tone and multilingual support for your Spanish-speaking customers. Step #4: Test, launch, and monitor your agentOnce your flow is built and trained, run controlled tests:
![]() Plivo’s real-time dashboard lets you:
After launch, your agent keeps learning. As more customers interact, you’ll gather insight to improve how it responds or what paths it offers. You run a test with 50 loyal customers. The data shows that:
You adjust the flow by adding a flavor selection block and a “remind me next week” option. The analytics also show high engagement around 8 p.m., so you shift reminder timings accordingly. Plivo is purpose-built for WhatsApp AI agent deploymentPlivo’s platform is designed to help you move from idea to live AI-powered engagement without requiring engineering support or external consultants. When you use Plivo for WhatsApp agent setup, you get:
Automate outcomes with WhatsApp agent setup in PlivoSmart WhatsApp automation starts with smart setup. With Plivo's no-code platform, you can automate customer conversations, boost sales, and scale support — all without a development team. Plivo offers the tools to build agents that reflect your brand, the infrastructure to scale securely, and the intelligence to adapt with your customer needs. Whether you're trying to cut support wait times, recover abandoned carts, or drive upsells through personalized outreach, a well-built WhatsApp agent can make it happen, and Plivo makes it achievable. Ready to get started? Request a free trial today! ![]() Jun 19, 2025 5 mins The Definitive Guide to Automating WhatsApp for BusinessLearn how WhatsApp automation can simplify customer communication and scale operations. Know about its key benefits and use cases. Get started today. WhatsApp Business API Industry Insights Remember when WhatsApp was just a simple messaging app? Launched in 2009, it was a tool for friends and family to stay in touch. Fast-forward to today, and WhatsApp has become a global powerhouse with over 3 billion monthly active users. Businesses worldwide leverage WhatsApp to connect with customers, share updates, and provide support. Many businesses struggle to keep up with the growing volume of customer messages on WhatsApp. Manually handling inquiries, sending updates, or following up on leads can quickly become overwhelming and inefficient. This is where WhatsApp automation steps in. By automating repetitive messaging tasks, businesses can reduce manual workload, respond faster, and deliver more personalized, timely communication. In this article, we'll explore what WhatsApp automation is, why it's essential for modern businesses, and how you can implement it to improve customer engagement and operational workflows. What is WhatsApp automation?WhatsApp automation is the use of technology to automatically send and manage messages on the platform, especially for business and customer engagement purposes. It doesn’t require human intervention for every interaction. As a result, businesses can handle customer inquiries, deliver updates, and engage with prospects efficiently. ![]() With WhatsApp business automation, you can:
Here’s a breakdown of the three main types of automated messaging on WhatsApp:
Key benefits of WhatsApp automationBy automating routine tasks, WhatsApp can help your business stay responsive and consistent across customer touchpoints. Here’s how it can benefit your business: Reduce manual workloads and response timesWhen you automate WhatsApp interactions, every department, from marketing to customer service, runs more smoothly. By automating routine tasks like order updates, FAQs, and customer inquiries, businesses can significantly reduce the manual effort required. This means your team spends less time on repetitive tasks and more time focusing on high-priority interactions. Result: Faster response times and more efficient workflows. Increases the scalability of customer interactionsAs your business grows, the number of customer interactions increases. Automation allows you to scale communication efforts without hiring additional staff or losing the personal touch. Whether you're dealing with 50 or 5,000 customers, automated responses ensure that each inquiry is handled swiftly and consistently. Enhances customer experience through personalizationAutomated WhatsApp messages can be personalized based on customer data, creating a more relevant and tailored experience. From addressing customers by name to offering product recommendations based on past purchases, personalization makes customers feel valued. This leads to higher engagement rates and improved loyalty. End result: Higher customer satisfaction and increased loyalty. Cost-effectiveness compared to manual processesWhatsApp automation eliminates the need for large customer support teams and reduces the time spent on repetitive tasks. This saves on operational costs and also leads to a more efficient allocation of resources. Pro tip: Monitor your automation metrics regularly to find areas where you can cut costs further without affecting quality. 5 popular use cases of WhatsApp automation across industriesBusinesses everywhere are finding new ways to use WhatsApp automation. Here are five popular examples: 1. Customer supportAutomating common FAQs and routine inquiries on WhatsApp helps customers get instant answers anytime. This reduces the number of tickets support teams have to handle, letting them focus on more complex problems. Example messages: “Hi! How can I help you today? Here are some quick answers: For billing info, reply 1; For plan details, reply 2.” “We’ve received your request and will get back to you within 24 hours.” 2. E-commerce operationsOrder confirmations, shipping updates, and delivery notifications keep customers informed every step of the way. Automating returns and collecting feedback via WhatsApp speeds up these processes and improves customer satisfaction. Example messages: “Thank you for your order #12345! It is being processed and will ship soon.” “Good news! Your package is out for delivery and should arrive by 5 PM today.” “Need to return an item? Reply ‘Return’ and we’ll guide you through the process.” 3.Marketing and lead nurturingAutomated lead follow-ups ensure timely, consistent engagement with prospects, boosting conversion chances. Also, you can use personalized re-engagement campaigns to help bring back inactive customers with offers or updates tailored to their interests. Example messages: “Hi [Name], thanks for your interest! Ready to take the next step? Book a free demo here: [link]” “We miss you! Enjoy 15% off your next purchase with code WELCOME15.” “Exclusive offer just for you, [Name]! Check out our new arrivals: [link]” 4.Event management and invitationsAutomated WhatsApp invites, updates, and follow-ups keep your audience informed and engaged, boosting the attendance rate. This helps you stay connected and make every event a success. 5.Appointment scheduling and remindersTimely reminders help customers remember appointments, reducing cancellations and improving the overall experience. Automation makes scheduling easier and more efficient for both businesses and customers. Example messages: “Your appointment with Dr. Smith is confirmed for June 20 at 2 PM. Reply ‘Cancel’ to reschedule.” “Hi! Just a friendly reminder about your hair salon appointment tomorrow at 11 AM.” “Need to book an appointment? Reply ‘Book’ and we’ll help you find the perfect time.” Step-by-step guide to implement WhatsApp automation for your businessTo successfully implement WhatsApp automation, follow these key steps that cover planning, setup, and optimization. Step 1: Define your use cases and goalsStart by identifying which business functions, such as order updates, customer support, or lead follow-ups, will benefit most from automation. Set clear, measurable goals like:
This will guide your automation strategy and help you track success. Also, ensure compliance from the start. WhatsApp requires businesses to obtain explicit customer opt-in before sending messages. To stay compliant:
Data privacy and compliance are essential for building trust and maintaining long-term customer relationships. Step 2: Choose the right WhatsApp business API providerSelect a platform that fits your specific needs. Look for features like:
These capabilities simplify your communication and scale your efforts efficiently. Make segmentation a priority, use tagging and grouping strategies to target the right customers with the right messages. With smart tagging and grouping, you can:
Example: Send exclusive offers to loyal buyers and welcome discounts to new customers. Good segmentation enhances your automation and drives better outcomes. Step 3: Set up your WhatsApp business accountYou must set up a verified WhatsApp Business account to use WhatsApp for automated messaging. This includes:
This ensures that your business is recognized as a legitimate sender. Your WhatsApp API provider will typically assist with onboarding, including submitting documentation and setting up the technical aspects. Some platforms also offer pre-built tools to help you manage mobile number registration, display name approval, and message template submissions. Pro tip: To avoid disruptions, choose a phone number that’s not already tied to a personal WhatsApp account. Step 4: Create and submit message templatesStart by designing message templates for everyday customer interactions, such as:
Each template must follow WhatsApp’s formatting and content policies. Once your templates are ready, submit them through your WhatsApp API provider for Meta’s approval. Only approved templates can be used for proactive messaging. Step 5: Build automation workflowsNow that your account and templates are ready, it’s time to connect WhatsApp with the rest of your tech stack. Integrate with:
Use event-based triggers, like a new order, a cart abandonment, or a support ticket, to automatically send relevant messages. Additionally, plan for human fallback. Automation can’t handle everything. Build intelligent workflows that escalate to a human agent when:
This keeps your support experience smooth, responsive, and frustration-free. Step 6: Test, launch, and optimizeStart with a pilot campaign to ensure everything runs smoothly. Track key metrics:
Use these insights to refine your workflows, improve message content, and adjust targeting. Best practices for WhatsApp automationFollowing some proven best practices is essential to get the most out of WhatsApp automation. Here’s what you need to know: Tips for optimizing messaging frequency and timingTo keep your audience interested, it's vital to message thoughtfully and strategically. Here are some quick tips:
Leverage data analytics for campaign performanceBy tracking metrics such as open rates, click-through rates, and response times, you gain valuable insights into what works and what doesn’t. Use this data to refine your messaging, target relevant audience segments, and optimize timing. Regularly reviewing analytics helps you make informed decisions that boost engagement and drive better results over time. Compliance and customer privacy protectionTo protect your customers and stay compliant, focus on these key areas:
Enhance customer communication with Plivo’s AI WhatsApp automationThe growing demand for instant, tailored communication on WhatsApp puts pressure on businesses to respond quickly. Customers expect fast, personalized replies around the clock, and doing this manually often leads to delays, inconsistent service, and missed opportunities. Finding a way to scale these conversations efficiently is critical for businesses looking to stay competitive. That’s where Plivo comes in, an industry-leading omnichannel platform that automates and personalizes WhatsApp conversations, delivering timely responses at scale. By leveraging Plivo’s WhatsApp AI agents, businesses can manage a wide range of customer communication tasks, from pre-sales inquiries to post-purchase support, without increasing their team size. Here’s how Plivo can enhance your customer communication:
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With Plivo’s vast carrier network spanning over 220 countries, businesses can significantly cut SMS costs by up to 70% while achieving threefold returns on investment. Many companies using Plivo CX have experienced remarkable results, earning an outstanding $71 for every dollar invested in their SMS marketing efforts. Book a free demo today and see how Plivo’s AI WhatsApp agents can change your customer communication strategy. ![]() Jun 19, 2025 5 mins Conversational SMS: Improve Your Text Messaging StrategyLearn how to use conversational SMS to drive engagement, improve CX, and increase conversions. Explore features, use cases, and best practices. SMS Industry Insights Stop sending texts into the void. If your SMS strategy still relies on generic, one-way blasts without personalization or interaction, you're leaving money on the table and missing genuine connections with your customers. In fact, 71% of consumers respond more positively to two-way interactions with brands. They want a dialogue, not a monologue. This blog will help you understand how to get started with conversational SMS, real-life use cases, and how to build a texting experience your customers will enjoy. This guide reveals how to pick up conversational SMS, from real-world use cases to proven tactics that turn simple texts into meaningful conversations. What is conversational SMS?As noted, conversational SMS refers to two-way texting between your business and customers. Unlike traditional SMS blasts, which send the same message to thousands of people at once, conversational SMS invites engagement and, in many cases, a reply. Therefore, it gives your customer a direct way to ask questions, confirm details, or solve an issue without waiting on hold or checking email. For example, instead of sending “Your order has shipped,” you can ask, “Your order’s on the way. Need tracking info or support?” This small shift can drive action. Plus, you can also rely on channels like RCS (Rich Communication Services), which supports images, buttons, and suggested replies, or WhatsApp, which allows branded two-way conversations on a global scale. Key benefits of conversational SMSIn 2025, 86% of customers prefer SMS as their go-to communication channel. But preference alone doesn’t drive results. It’s how you use SMS that makes the difference. Conversational AI helps you move beyond one-way updates to real, results-driven engagement. Here’s what you gain: Speed up your replies82% of consumers check their text notifications within just five minutes of receiving a text. And nearly a third check their text notifications within just 60 seconds of receipt. Conversational SMS is built exactly for this. It helps you reply instantly to common questions like, “Where’s my order?” or “Can I change the delivery address?”. And it doesn't even require a ticket number. Make support easierWith this SMS marketing, people don’t have to dig through your site or repeat themselves. Everything stays in one thread, including returns, product questions, and delivery updates, so that it’s direct and friction-free for the users. For example, a customer could text, “Does this shirt run small?” and get a personalized answer in seconds. Help people buy fasterUnanswered questions can kill sales. Conversational SMS gives you a chance to answer at the right moment when your customers are deciding whether to click “buy.” Let’s say a customer asks, “Can I use this promo code on sale items?” A quick yes (or a helpful alternative) could be all it takes to close the sale. Do more with fewer resourcesYour support team doesn’t need to handle every message manually. Conversational SMS lets you automate repeat questions like “What are your hours?” or “How do I track my order?”That saves your team time and reduces burnout while shortening response times. Build real trustWhen customers know they can text you and get a real response, it builds credibility. That kind of reliability turns one-time buyers into loyal customers. And unlike email or ads, SMS feels personal and immediate. Real-world use casesIt’s one thing to understand the benefits, but it’s another to see them in action. Here’s how real brands are using conversational SMS to improve service, boost sales, and build loyalty: Order updatesCustomers want to know what’s happening with their orders without having to ask. Conversational SMS lets you send updates at every stage (order confirmed, shipped, out for delivery, or delayed). For example, if a customer texts back, “Can I change the delivery address?” or “Will it arrive before Friday?”, you can respond in real time. This takes the pressure off your support team and keeps the customer calm and informed. Tip: Include a tracking link in your message. It cuts down on “Where’s my order?” texts. ![]() Product recommendationsOne-size-fits-all promos are no longer effective in this era of hyper-personalized services. Conversational SMS lets you send curated suggestions based on shoppers’ past purchases and even browsing history for minute relevance. Instead of broad, one-way promos, you can tailor each message to what your customer is actually interested in. That makes your outreach feel helpful instead of pushy. Take the message from Half Magic Beauty shown below. It introduces a new product variant with a clear visual and a message that responds to customer demand. It’s timely, specific, and visually engaging. ![]() Cart recoveryAbandoned carts are lost opportunities if you do not reach out the right way. Conversational SMS gives you a direct way to bring shoppers back without sounding pushy. The text message from Hello Molly shown below is friendly, personalized, and straight to the point. The customer gets a quick reminder that she left items in her cart, along with a link to complete the purchase. This kind of timely nudge feels helpful, not spammy. It shows you’re paying attention and that you care about making the checkout process easier. ![]() Welcome campaignA well-crafted welcome message sets the tone for the entire customer journey. Conversational SMS lets you ask about preferences, share exclusive perks, or answer quick questions. This is a great opportunity to turn a new contact into a loyal customer from day one. The example from Clinique is a great starting point. It immediately confirms the customer’s signup, sets expectations for future updates, and teases upcoming offers. The message also introduces an engaging brand moment by promoting a surprise from their Global Brand Ambassador and inviting customers to join them on Instagram. ![]() Reminder textReminder texts are an effective way to keep your audience engaged and on schedule, whether for an event, an appointment, or a deadline. The message from Becker’s Healthcare reminds recipients about the date and location of their upcoming annual meeting and includes a direct registration link. The tone is professional, clear, and action-oriented. This type of SMS helps reduce no-shows, boosts attendance, and keeps your brand top of mind. Plus, including a clickable CTA makes it easy for recipients to act immediately without needing to search for more information. ![]() Upsells & cross-sellsUpselling and cross-selling are powerful tactics to boost customer lifetime value and maximize revenue without acquiring new customers. By recommending premium options or complementary products, brands can increase average order value and deepen customer loyalty This message from Native is a classic upsell. The customer has already purchased a product. Now, Native is encouraging her to join their subscription program to get that product delivered regularly with a discount of up to 25%. That’s an upsell: offering a higher-value option (subscription + savings) after a purchase. ![]() Features that make conversational SMS workIf you want customers to reply, engage, and convert, your SMS needs the right tools. These are the features that make that happen. AI chatbot integration for auto-repliesOne of the key drivers of conversational SMS is speed, and that’s where AI chatbot integration shines. Automating responses ensures that customers get immediate replies, whether they’re asking a simple “Where’s my order?” query or requesting a product return. Chatbots can handle common questions, provide status updates, offer product recommendations, and escalate issues to live agents when needed. This reduces wait times, offloads repetitive tasks from human agents, and keeps customer satisfaction high even outside of business hours. CRM and contact center integrationWhen SMS is synced with your CRM and contact center systems, it becomes a powerful relationship-building tool. Agents can instantly access customer profiles, previous interactions, and purchase history, allowing for highly personalized and context-aware conversations. For example, if a customer texts about a delay, the agent can immediately reference their order and respond with accurate updates. This seamless backend integration helps prevent repetitive questions, shortens resolution times, and enables consistent messaging across SMS, voice, email, and chat channels. Opt-in/opt-out mechanisms for complianceSMS platforms that support opt-in and opt-out management help you stay aligned with laws like TCPA, GDPR, and CAN-SPAM. These tools make it easy to capture explicit consent before sending texts, store that consent securely, and allow customers to opt out at any time with a simple keyword like “STOP.” This not only protects your business legally but also demonstrates respect for your customers’ privacy preferences, boosting credibility and trust. Personalization tokensPersonalization tokens allow you to automatically insert specific details like the customer’s name, last purchase, shipping status, or loyalty points into SMS messages. For example, a message that says, “Hi Sarah, your order #1357 is out for delivery,” lands better than “Your order has shipped.” Message templates for speed and consistencyMessage templates let teams respond quickly without sacrificing accuracy or tone. Whether you send shipping updates, payment reminders, support instructions, or feedback requests, templates ensure every message is professional, brand-aligned, and typo-free. Plus, they help maintain a consistent customer experience no matter which agent is replying. Best practices for a winning conversational SMS strategyTo get real results, brands need a smart, customer-first approach. Here are a few proven best practices to help you get the most out of your conversational SMS efforts: Start with consentAlways get permission before you message someone. This builds trust and keeps you compliant with privacy laws. Without consent, your messages can feel intrusive and hurt your brand. Be humanCustomers are increasingly comfortable with bots, but they want human backup available when things get complex. Use clear language, a friendly tone, and a real name. A warm, human message is more likely to get a response. Respond quicklyCustomers expect fast replies. A delay of even a few hours can lead to frustration. Set response time goals and use alerts for incoming messages. Quick replies show customers that you value their time. Personalize messagesUse customer data to tailor every message. Mention their name, recent orders, or past issues. Small personal touches can boost engagement and satisfaction. Segment your audienceDon’t send the same message to everyone. Group customers by behavior, location, or loyalty. For example, first-time buyers may need onboarding tips, while repeat customers may want exclusive offers. Track performanceMeasure open rates, response times, and satisfaction scores. Are customers replying? Are issues getting resolved faster? Use this data to refine your messaging strategy and double down on what works. Common mistakes to avoidEven with the best tools, mistakes happen. Want to get customer sentiment right? Avoid these common pitfalls that can derail your efforts. Using SMS for one-way blasts onlyTreating SMS as a one-sided channel limits its potential. Customers expect two-way communication. If you only send promotions or alerts, you miss the chance to engage, resolve issues, or build loyalty. Overloading messages with too much info or linksLong texts with multiple links or instructions often get ignored. Keep it short. Focus on one clear message or CTA. For example, link to a single landing page instead of listing all your offers. Ignoring replies or failing to follow upIf a customer replies and hears nothing back, it signals you weren’t listening. Missed replies damage trust. Set up alerts or auto-assignments, so your team can follow up fast. Sending texts at odd hoursNo one wants a marketing message at 3 AM. Respect time zones and customer preferences. Schedule texts during business hours or based on past engagement patterns. For US customers, send messages between 8 AM and 9 PM in the recipient's local time zone (required by TCPA law), with optimal engagement typically occurring between 9 AM and 11 AM and 5 PM and 8 PM on weekdays. Create richer conversations with PlivoReady to implement the conversational SMS strategies covered in this guide? As an all-in-one omnichannel communications platform, Plivo makes it simple to turn these best practices into real results. From the AI chatbot integrations to the personalization tokens that make messages feel human, Plivo has built these capabilities directly into the platform:
Plus, you get all the foundational SMS features that make two-way conversations possible:
Perfect for businesses ready to move beyond broadcast SMS and start having real conversations that drive results. Turn every text into a conversation that converts. Book a demo now. ![]() Jun 19, 2025 5 mins What is Conversational Marketing? A Guide to Benefits, Strategies, and Best PracticesLearn what conversational marketing is, including its benefits, strategies, and best practices, in this guide. Discover how it can enhance your customer interactions. No items found. Conversations are how people buy now. They don’t wait through long forms or callbacks anymore. Instead, they turn to quick, direct messages — whether they’re browsing products, asking about pricing, or checking delivery timelines. Many teams already use live chat, chatbots, or automated messaging, but conversational marketing goes beyond those tools. Unlike simple chatbots that follow preset scripts or automated messages triggered by generic rules, conversational marketing focuses on continuous, personalized, and context-driven interactions. It blends automation with real-time responsiveness to create a more natural dialogue that adapts to each customer’s unique needs. In this guide, we’ll delve into how conversational marketing benefits your business, the limitations of using traditional tools, and how Plivo AI agents enhance your conversational marketing strategy. What is conversational marketing?Conversational marketing is a real-time, personalized approach to engaging customers through the communication channels they already use, like SMS, WhatsApp, RCS, website chat, and voice assistants. Unlike traditional marketing, which pushes one-size-fits-all messages to broad audiences, a conversational marketing strategy creates two-way, context-rich dialogues that feel more like natural, human conversations. Conversational marketing examples include a brand recommending products over WhatsApp, sending order updates via SMS, and answering follow-up questions through live voice support. Each touchpoint builds on the previous one, creating a consistent customer experience. The role of AI and human agents in scaling and personalizing conversationsAs customer expectations continue to rise, businesses are under pressure to deliver fast, personalized support without ballooning operational costs. The combination of AI and human agents helps companies balance speed, scale, and empathy in every customer interaction. Here’s how they work together for a consistent conversational marketing strategy: AI delivers scalable, 24/7 customer supportAI chatbots help businesses support customers around the clock. They handle repetitive tasks, such as answering common questions, qualifying leads, and guiding users through your funnel. AI keeps prospects engaged, reducing wait times and boosting conversion rates without extra headcount. Plus, it delivers consistent messaging across communication channels and collects insights to refine your marketing and sales approach. Human agents bring empathy and problem-solvingWhile AI handles routine conversations, human agents are crucial for the nuanced aspects of marketing, including building trust, addressing objections, and handling unique customer concerns. When conversations get tricky, sensitive, or require complex solutions, humans step in to connect on an emotional level, nurturing prospects into loyal customers. This human touch is more important than ever. In the U.S., even when people love a company or product, 59% will walk away after experiencing several bad interactions, and 17% will do so after just one. That’s why blending automation with empathy ensures every conversation feels authentic and valuable. AI makes personalization easy at scaleAI leverages natural language processing (NLP) and machine learning (ML) to understand your customers’ behaviors, preferences, and past interactions. It can recommend products, customize offers, or deliver hyper-relevant messages all in real time. These capabilities make every conversation feel like a one-on-one, even when you're engaging thousands. As AI learns and adapts, the marketing experience becomes increasingly intelligent, intuitive, and human-like. Limitations of traditional conversational toolsTraditional conversational tools present challenges that can undermine customer experience and marketing effectiveness. These include: Human teams can’t work around the clockHuman support teams face natural limitations, such as working hours, fatigue, and staffing constraints, that prevent them from offering 24/7 assistance. As a result, customer inquiries made outside of business hours often go unanswered or are delayed, leading to a poor customer experience and missed opportunities for engagement. AI-powered systems also provide always-on support at scale, handling multiple conversations simultaneously. Chatbots lack intelligence and contextBasic chatbots work using fixed scripts or rules; they don’t understand what users mean and can’t handle questions that don’t follow their script. The result is often repetitive or off-topic responses. In fact, recent studies show that only 8% of people use chatbots, and just 25% of those said they would use that chatbot again. Even though companies are spending more on chatbots, many still don’t help users get what they need. AI customer service chatbots that utilize NLP and ML are effective, but they still struggle to recall past interactions or pick up on subtle details in what people say. Separate systems lead to poor personalizationWhen conversational tools operate in silos separate from CRMs, customer databases, or other business systems they lack the data needed to deliver personalized experiences. This disconnect results in generic interactions that overlook a customer's history, preferences, or previous interactions. Without personalization, users feel like strangers each time they engage, which weakens trust and loyalty. Integrating these tools with broader business systems is essential for delivering meaningful, context-aware conversations, but achieving seamless integration remains a significant technical and organizational challenge. Slow responses kill conversionsWhen customers face long wait times, whether due to human agent limitations or sluggish bot performance, they’re more likely to drop off before converting. Traditional tools can fall short if they rely on backend processing or require escalating issues to human staff. Conversational marketing helps by responding to routine questions, routing complex ones, maintaining engagement, and enhancing conversion potential. Plivo’s AI agent framework for conversational marketingPlivo’s AI agents work like expert team members for your business, available 24/7 to engage with your customers, assist them, and ensure satisfaction. These AI agents are trained on your brand’s information, like your products, customer history, and FAQs, so that they can have natural, personalized conversations. ![]() They learn what customers need and give helpful, personalized responses. They also reflect your brand’s unique voice and can be customized to match your style and tone. 3 core capabilities of Plivo’s AI agentsPlivo’s AI framework has three key capabilities that align directly with your business’s growth journey. Each represents a specialized AI agent tailored to optimize critical customer touchpoints. Here’s a closer look. 1. Convert: Turning conversations into revenue![]() Sam is your digital sales professional, trained to qualify leads, recommend the right products, and nudge customers toward purchase completion. Capabilities include:
Example: A shopper adds a coffee table to their cart but leaves the site without checking out. Later that evening, Sam sends a message through SMS: “Still thinking about the walnut coffee table? It’s back in stock and ships free this week.” The customer asks if it fits smaller spaces. Sam responds with dimensions and a link to a video showing the table in a compact living room. The shopper returns to complete the order. 2. Engage: Orchestrating timely, personalized outreach![]() Campbell specializes in behavior-driven marketing automation, delivering personalized campaigns triggered by real-time customer behavior and lifecycle events. Key functions include:
Campbell enables businesses to maintain meaningful, proactive engagement that nurtures relationships, drives repeat purchases, and builds customer loyalty at scale. Example: A B2B software company uses Campbell to automate lifecycle messaging for users in a 14-day free trial. On day five, Campbell notices a user hasn’t explored key features and sends: “Need help getting the most out of your trial? Here’s a quick walkthrough of advanced automations our users love.” If the user still hasn’t upgraded by day 12, Campbell follows up with a personalized offer and access to a customer success rep, keeping the conversation going and increasing conversion odds. 3. Delight: Support that drives loyalty![]() Jolie is your always-on concierge, ensuring customers feel supported throughout the post-purchase journey. From onboarding to troubleshooting and returns, Jolie ensures high satisfaction and low churn rates. Here are some capabilities:
Sentiment detection and escalation: Utilizes AI-powered sentiment analysis to identify frustrated or dissatisfied customers, escalating complex issues to human agents before they escalate. Example: A boutique travel company uses Jolie to guide customers post-booking. After a guest confirms their itinerary, Jolie sends a message: “Here’s your personalized travel checklist, weather updates, and airport transfer details. Need help with dinner reservations or last-minute changes? I’ve got you.” If the guest later expresses concern, such as “My flight was canceled”, Jolie detects urgency, escalates to a live agent, and shares interim hotel options to avoid friction in the travel experience. How Plivo AI agents work with the customer data platform (CDP)Plivo’s AI-powered CDP is designed to unify, analyze, and activate customer data in real time, helping businesses create personalized and impactful customer interactions across various channels, including SMS, WhatsApp, voice, and chat. Here’s a detailed breakdown of how it works: Unified customer profiles in real timePlivo’s CDP integrates customer data from multiple sources, including CRM systems, e-commerce platforms, support tools, and analytics services, into a single, unified customer profile. Every piece of customer information, from purchase history to browsing behavior, is brought together and updated. This “one customer, one story” approach ensures data is clean, connected, and ready to power personalized engagement. The platform supports over 350 integrations with popular tools like Salesforce, HubSpot, Zendesk, Marketo, and more. This makes it easy to plug in and start managing your customer data without needing a dedicated IT team. Example: A logistics company integrates Plivo’s CDP with their CRM, warehouse management system, and customer support platform. When a client contacts support about a delayed shipment, the agent (or AI) immediately accesses a unified profile showing order history, delivery status, and past interactions. This allows Jolie, the Delight AI agent, to provide personalized updates and proactive solutions without making the customer repeat information. Behavioral segmentation and custom attributesThe platform uses behavioral segmentation to categorize customers based on their actions, such as purchases, message interactions, and engagement history. These segments update automatically, ensuring your targeting is always precise and current. Additionally, you can define custom attributes for your business needs, such as subscription tiers, purchase frequency, or VIP status, to personalize messaging. Example: A subscription-based meal delivery service uses behavioral segmentation to identify customers who order vegetarian meals frequently and have a high purchase frequency. They assign a custom attribute labeled “Vegetarian VIP.” Campbell, the Engage AI agent, then sends these customers exclusive early access to new vegetarian menu items through SMS campaigns, boosting engagement and loyalty. Real-time event trackingEvery customer action, whether it’s a click, a purchase, or a chat inquiry, is captured by Plivo’s real-time event tracking. This continuous stream of data feeds into the customer profiles, enriching them and triggering automated campaigns that respond immediately to customer behavior. For example, if a customer abandons a shopping cart, Plivo can send an SMS reminder with a special offer to encourage them to complete the purchase. AI-driven messaging across channels![]() Plivo’s AI agents use these rich, unified profiles to deliver personalized, consistent messages across multiple channels, including SMS, WhatsApp, voice, and chat. AI powers automated conversations and outreach that feel natural and data-driven, helping businesses engage customers at the right time with the right message. Example: A travel agency tracks user behavior on its booking site. When a customer searches flights but leaves without booking, Campbell automatically triggers an SMS with a limited-time discount offer or a link to travel insurance. If the customer responds with questions, Jolie picks up the conversation to provide detailed assistance. Automatic campaign triggersPlivo monitors customer activity and then sends reminders, onboarding messages, support follow-ups, or promotional offers at precisely the time the customer is most likely to respond. Example: A financial services firm uses Plivo AI agents to manage multi-channel communication. When a new user signs up, Campbell sends a WhatsApp welcome message with personalized onboarding tips. If the customer calls with questions about loan options, Jolie uses the unified profile to provide instant voice responses or escalates to a human advisor if the issue is complex, maintaining consistent messaging across chat, voice, and SMS. Choose Plivo’s AI agents for conversational marketingConversational marketing is crucial for connecting with your customers and keeping them engaged throughout their entire customer journey. To achieve this effectively, businesses need reliable tools that can manage real-time interactions and deliver personalized experiences. Plivo works for businesses of any size to convert leads and keep prospects engaged 24/7 with its AI agents. These agents (Sam, Campbell, and Jolie) act as an extension of your team and are always ready to help. Whether it’s bringing back people who left items in their cart, running timely campaigns, or offering real support, these agents handle it all. Plus, Plivo’s CDP makes every conversation feel personal, relevant, and consistent without requiring extra work from your team. Get started for free today and see how Plivo changes the way you connect with customers. ![]() Jun 17, 2025 5 mins How RCS Pricing Works For Business MessagingLearn RCS pricing structures, calculate costs, and maximize ROI for your business messaging campaigns with Plivo. RCS If you're used to the clear-cut pricing of SMS or email, rich communication services (RCS) will throw you a curveball. There’s no universal rate card or neat pricing table for RCS. Frustrating? Maybe. Is it worth it? Absolutely. While businesses lose millions on ineffective channels, RCS is projected to generate $8.7 billion in revenue by 2029, and for good reason. It transforms plain text into rich, branded conversations with buttons, carousels, verified business profiles, and more — all inside your customer’s default messaging app. This guide breaks down how RCS message charges work, why it’s worth navigating the complexity, and ways to make smart, cost-effective decisions for your business messaging strategy. What is RCS pricing?RCS pricing refers to the cost businesses pay for implementing RCS messaging services. The structure depends on three main factors: how many messages you send, which features you activate, and your carrier's rates. Providers charge businesses based on messages delivered or offer bundled packages with different pricing tiers. RCS costs more than SMS because it includes rich media features, such as read receipts, suggested replies, and branded elements. The higher costs often pay off through increased engagement and better user experiences. RCS pricing realityYou won't find a standard RCS price list like you would for SMS or email. RCS doesn't work that way. Mobile carriers control RCS pricing individually. That means, costs vary wildly between regions, operators, and even message volumes. Your RCS campaign in the US might cost a completely different amount than the same campaign in Europe or Asia. Each carrier sets its own rates based on local market conditions, infrastructure costs, and competitive positioning. What does this fragmented approach mean? You can't budget RCS like SMS. Each market requires separate cost analysis and carrier negotiations. For your business, RCS’s use cases are never-ending. Our RCS for business messaging guide covers real business use cases across industries, from retail product recommendations to healthcare appointment scheduling. The 3-tier architecture determines RCS messaging costsMobile carriers use a three-tier system that directly impacts your costs based on message complexity and user engagement patterns. Let’s go over these tiers below. Tier #1: Basic messages - Text-only communication![]() Basic messages are text only, limited to 160 characters — think SMS, but with RCS-style branding and verification. You pay per message sent, regardless of whether customers respond. Here’s what they work best for:
The cost stays predictable. Send 1,000 basic messages, pay for 1,000 basic messages. Tier #2: Single messages - Rich content and extended text![]() Single messages include multimedia content, rich cards, or text exceeding 160 characters. You still pay per message under non-conversational billing. These messages are ideal for:
Tier #3: Conversational messages - Session-based pricing![]() Conversational messages enable back-and-forth exchanges within 24-hour windows. When a customer replies to your message within 24 hours, a conversation session is initiated. During this session, you can exchange unlimited messages for one flat rate. ![]() Carriers track these interactions as A2P (application-to-person) events when you send messages and P2A (person-to-application) events when customers reply. Under conversational billing, these events get bundled into conversation sessions rather than being charged separately. You'll use conversational messaging for:
This creates the most complex pricing structure but offers the best value for extended interactions. If customers don't respond within 24 hours, you pay per individual message. However, if they do respond, you pay one conversation rate covering all messages in that 24-hour window. 💡 Pro tip: Choose non-conversational billing for one-way communications like alerts and promotions. Alternatively, if you expect customer responses and multi-turn interactions, opt for conversational billing. TL;DR: RCS business messaging pricingHere’s a quick summary to make RCS charges easier to understand.
What influences RCS messaging costs?Your RCS costs come down to five main factors, each with a different impact on your total bill. These include:
RCS vs. SMS vs. MMS vs. OTT: Which offers the best value for your investment?You need to understand how RCS stacks against other messaging channels to make smart budget decisions. Here's the breakdown.
Take a look at what RCS brings to the table:
So, the real value here is that RCS combines app-level features with SMS's universal reach. Choosing the right RCS business messaging providerBrands are expected to spend $52.5 billion on RCS, equivalent to around 16% of the total digital ad spend. The opportunity is massive, but capitalizing on it starts with the right partner. Here’s how you choose your provider wisely to capture this opportunity. Calculate your message volume firstCount your expected monthly messages. Include promotional messages, order updates, and appointment reminders, and consider how often you'll send each type. Your volume determines which pricing model costs less. Providers charge per message or offer flat monthly fees for unlimited messaging. If you send over 10,000 messages monthly, subscriptions typically cost less; Or if you send fewer than the subscription break-even point, choose pay-per-message. Plivo has an easy-to-use pricing calculator. Just pick your country, message type, and how many messages you plan to send. You’ll get a real-time cost estimate to help you plan your budget before signing up. Compare pricing models and featuresEvaluate what each provider includes in their base plan. Some offer basic message delivery. Others include chatbots, CRM integration, and analytics dashboards. Match your business needs with the provider’s capabilities. For example, a simple notification service doesn't require advanced analytics. Nevertheless, if the purpose behind RCS is customer service operations, you’ll benefit from chatbot integration and detailed reporting. Plivo scales with your business growth, whether you're a startup sending a few thousand messages monthly or an enterprise communicating with millions. The platform offers pay-as-you-go pricing plans and tiered discounts that align with your monthly volume commitments. Compare RCS and SMS returnsCalculate the return on investment (ROI) for both channels. RCS costs more but offers engaging, interactive experiences, and you can track customer behavior with conversational analytics. On the other hand, SMS costs less and works for simple messaging, but it only provides basic delivery reports. Consider multimedia content creation costs for RCS. If these costs exceed your expected returns, RCS may not be a suitable option for your business. Ultimately, the choice depends on your business needs and goals. Assess your messaging requirements and evaluate returns for each option before moving forward. Need detailed comparisons beyond pricing? Our comprehensive guide breaks down RCS vs SMS features, business use cases, and limitations . You'll get clear recommendations on which channel works best for your customer engagement strategy. Get started with Plivo for custom RCS pricingStarting with RCS is simpler than you think, especially if you already use SMS marketing. The key is picking the right messaging partner and focusing on use cases that align with your needs. Start with basic RCS messages before moving to conversational campaigns. Plivo's RCS API integrates directly into your existing communication stack. You can start sending interactive, branded messages that boost engagement and drive conversions without overhauling your infrastructure. When RCS isn't available, messages automatically fall back to SMS at standard SMS rates. You can pair RCS with AI Agents to automate FAQs, deliver personalized recommendations, and resolve queries around the clock. Our no-code solution lets you launch AI Agents quickly across multiple channels. Talk to us to get a custom RCS pricing quote. Load More 1 / 33 It’s easy to get started. Sign up for free.Create your account and receive trial credits or get in touch with us. |





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