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AI Voice Agents - The Complete Guide to Voice Chat (2025)

Nov 23, 2025
7 mins

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.

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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

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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 

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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

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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 

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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  

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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.

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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.

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Apr 23, 2026
5 mins

Top 8 AI voice agents for sales in 2026

Compare the leading AI voice agents for sales, and see how Plivo can automate conversations, qualify leads, and scale customer engagement.

In today’s world where instant gratification has become the norm, most B2B buyers still prefer phone conversations for complex sales discussions, a majority of them expecting immediate responses. In such a scenario, enterprise sales teams face a dilemma: phone calls drive conversions, but hiring enough reps to cover qualification calls, follow-ups, and after-hours requests quickly becomes unsustainable.

AI voice agents solve this by automating high-volume tasks while maintaining the personalized touch buyers expect. They offer 24/7 lead qualification, instant responses, and unlimited scalability without expanding headcount.

This guide evaluates 8 leading AI voice platforms for sales teams based on several key factors, helping you identify the right solution for your sales operation.

Why businesses need AI voice agents for sales

Apart from taking calls, AI voice agents make your organization more than efficient because they scale your organic conversation without getting tired. Here are a few use cases for AI voice agents in sales that not only streamline your sales process but also identify emerging trends in customer behaviour and accordingly nurture relationships with potential leads.

Automation of Repetitive Task

Taking calls round-the-clock while maintaining all data simultaneously can eventually become intimidating for sales teams. AI voice agents can automate such tasks, allowing reps to redirect their energy toward higher-level opportunities.

Delivering Tailored Interactions

AI voice agents can be very versatile while answering customers, giving responses tailored to their needs and preferences. It’s a given that personalization plays an essential role in customer retention.

Predicting Customer Behaviour

AI agents aggregate customer data from multiple touchpoints. Sales teams can then use these insights to anticipate customers’ needs and proactively engage them with highly relevant product recommendations or targeted offers.

Cost Reduction

Voice agents can significantly reduce your operational costs by handling a high volume of queries without requiring additional human resources.

Scalability

AI voice agents can effortlessly manage growing volumes of customer interactions, making them perfect for businesses aiming to expand while maintaining high service standards.

Quick Overview of the top AI Voice Agents for Sales

Tool Best For Core Capabilities & Differentiators Pricing
Plivo Enterprise sales teams requiring carrier-grade reliability at scale Multi-channel automation (voice, SMS, WhatsApp) with owned telecom infrastructure. Eliminates third-party dependencies for 99.99% uptime and <100ms latency. Built for high-volume operations without quality degradation. Pay-as-you-go; Enterprise from ~$1,000/month
Larz.ai Teams needing quick pilot deployments Pre-configured templates accelerate setup but limit customization for complex sales workflows. Subscription-based plans
Poly AI Support-focused use cases requiring natural conversations Optimized for customer service interactions with advanced speech recognition; less suited for sales-specific objection handling and lead qualification logic. Enterprise custom pricing
Vapi AI Developer teams building custom voice solutions API-first platform for real-time call orchestration; requires technical resources to configure and maintain sales-specific workflows. Pay-as-you-go model
Cognigy Contact centers consolidating AI across channels Enterprise-grade omnichannel orchestration with deep CRM integrations; built for support operations rather than sales velocity. License-based pricing
Lindy Small teams automating simple appointment setting Task-based automation with low technical barriers; lacks sophistication for multi-touch sales sequences and enterprise integrations. Tiered subscription pricing
Bland AI Developers requiring granular call flow control Flexible programmable logic for inbound/outbound automation; steeper learning curve and ongoing maintenance overhead. Usage-based pricing
Synthflow Non-technical users testing voice automation concepts Drag-and-drop builder simplifies creation but constrains scalability and advanced sales use cases (complex routing, CRM sync, analytics). Subscription SaaS pricing

8 Best AI Voice Tools For Sales

1. Plivo

Best For: Businesses looking for reliable automation for key customer moments during sales calls, prioritizing performance, uptime, and global connectivity.

Plivo is a voice-first, AI-native communications platform built for organizations that want to operationalize AI agents in real customer environments, not just pilot projects. Unlike fragmented solutions that require stitching together telephony vendors, orchestration layers, and messaging APIs, Plivo delivers a single-stack environment that unifies voice, SMS, WhatsApp, chat, and email into one production-ready platform. For enterprises evaluating platforms at the decision stage, the differentiator is not just intelligence; it’s whether conversations feel real at scale

In AI voice automation, especially for sales, timing matters as much as reasoning quality. Most AI pipelines rely on ASR → LLM → TTS conversion, where each step introduces latency. Once response delays exceed ~400 ms (the ITU-T G.114 threshold), conversations become mechanical, and users disengage.

Plivo addresses this with live audio streaming over WebSockets, enabling AI agents to listen and respond in near real time while it manages the telephony infrastructure. This architecture allows organizations to plug in their LLM models without reworking the calling layer, future-proofing AI investments as models evolve.

One of the major advantages of using Plivo is its support for the entire lifecycle of customer engagement, with 24/7 automated, natural-sounding interactions. The platform offers extensive global reach across 190+ countries, enabling businesses to scale sales without increasing headcount.

What makes using Plivo interesting is its ability to handle all your customer requests without you being involved at the front desk. Its natural language builder (Vibe) enables teams to set up integrations and get them test-ready in minutes. Plivo's single-stack approach significantly reduces latency and improves reliability, delivering 99.99% uptime and compliance with standards such as HIPAA, GDPR, and PCI DSS.

Key Capabilities

  • Build agents in minutes: Teams can quickly build AI voice agents with Vibe, with no coding required.
  • Effortlessly troubleshoot voice agents: The platform enables you to self-troubleshoot common tech queries using its knowledge base, and only routes complex cases to humans.
  • Quick customization: You can edit workflows, add rules, and personalize responses as needed.
  • Pre-built templates: Plivo allows you to kickstart faster with customizable templates for support, sales, bookings, and more.
  • Omnichannel engagements: Your sales team can take action at the right moment across every channel.
  • Personalized AI agents: The platform makes it extremely easy to train agents on your knowledge base, FAQs, and brand guidelines so they respond like your team.
  • Real-time analytics and observations: You can monitor performance, simulate conversations, and refine agent behaviour in real-time

Pros

  • Built-in telephony: Native phone numbers, global connectivity, and SIP trunking without dependence on external carriers.
  • Reduced latency: Owning the telephony infrastructure eliminates the need to hop to third-party carriers, ensuring faster response times.
  • Seamless scalability: Start with a small no-code workflow and scale to a fully programmable production system without rebuilding.

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.

2. Lazr.AI

Best For: Teams looking for turnkey solutions with minimal setup.

Lazr’s pre-built voice platform offers robust and flexible deployment options. Instead of building voice workflows from scratch, the tool offers 40+ pre-configured agents designed for specific inside sales functions. Teams can deploy specialized agents for lead list building or call recording analysis within minutes. The platform’s dual deployment model makes it suitable for security-conscious enterprises.

While the pre-built agents are powerful, customization beyond their designed parameters may require technical expertise. The platform focuses more on agent deployment than complete workflow automation.

Key Capabilities

  • Get 40+ pre-built sales agents for ICP generation, AI dialling, and call analysis.
  • Offers voice agent builder with natural language commands
  • Comes with dual deployment options (SaaS or on-premise)
  • Offers enterprise-ready integrations with 250+ LLMs

Pros

  • Quickly build AI agents using a low-code/no-code interface.
  • Get enterprise-grade security with on-premise and private cloud deployment options.
  • Focuses on providing necessary guardrails and infrastructure.

Cons

  • Lacks advanced customization options for complex AI implementations
  • Fewer community-driven resources compared to more established platforms.

Pricing

Custom pricing based on deployment model (Cloud vs On-Premise) and agent usage.

3. PolyAI

Best For: Businesses looking to scale, multilingual voice AI solutions for customer service.

As one of the top conversational platforms, PolyAI specializes in creating lifelike voice assistants for enterprise customer service. Unlike other AI voice tools, PolyAI started with text; it specializes in voice. The tool mainly focuses on handling, understanding, and resolving issues in phone calls, including managing interruptions, accents, and emotional language.

While PolyAI utilizes its own speech recognition engine, it enables sales teams with high-quality, conversational, context-aware, and on-brand dialogue. The platform offers 45+ languages, enabling teams to integrate into their existing systems.

Key Capabilities

  • Conversational AI agents quickly handle complex customer enquiries.
  • Supports more than 45+ languages with natural voice and tone.
  • Easy plugin options with existing CRMs and telephony systems.
  • Provides omnichannel support, including voice, chat, and SMS.

Pros

  • Reduce wait time and provide 24/7 support.
  • Handles sudden spikes in call volume effortlessly.
  • Resolves 87%+ of customer service calls end-to-end.

Cons

  • A real-time dashboard needs either sentiment analysis or granular call-path tracking.
  • Pricing is not publicly disclosed, so direct sales consultation is required.

Pricing

For some configurations, pricing ranges from $0.09 to $0.15 per minute; however, contracts start at $150,000+ per year.

4. Vapi AI

Best For: Businesses that need customization and integration with existing systems to handle high volumes of concurrent calls.​

Vapi is a developer-focused AI platform that enables businesses to create highly customizable voice agents. Apart from handling both inbound and outbound calls, Vapi enables near real-time voice interactions—responding in 550 to 800 milliseconds.

Designed as an API-first platform for building AI phone agents, it is a popular choice among teams that need fully programmable, flexible AI phone agents for sales. But using Vapi does require technical knowledge; it is best for organizations with in-house development teams.

Key Capabilities

  • Real-time orchestration for low latency (sub-600ms)
  • Flexible integration with STT, TTS, and LLMs
  • Create squads of specialized bots for complex workflows.
  • Support telephony and web integrations

Pros

  • Allows you to tailor every component of the voice experience.
  • Offers real-time processing for fast and natural conversation
  • Scales to handle a high volume of calls

Cons

  • Requires significant technical expertise; not a low-code solution.
  • Building and maintaining reliable, high-performing bots is time-consuming.

Pricing

Vapi follows a pay-as-you-go model, starting at $0.05 per minute.

5. ​Cognigy

Best For: Sales teams who need deep conversation analytics, automated QA, and AI-powered coaching to improve existing performance.

As an enterprise-grade Conversational AI platform, Cognigy is designed to automate and enhance customer service experiences across voice and chat channels. The platform uses Large Language Models (LLMs) and Generative AI to create agents that understand context and memory, and make real-time decisions.

As a specialised tool that bridges the telephony system with the voice gateway, Cognigy's low-code flow editor is perfect for designing complex, multi-channel conversations. The tool is best suited for medium to large enterprises seeking to implement advanced AI-driven customer service solutions across multiple channels.

Key Capabilities

  • Allows companies to maintain high compliance while utilising AI.
  • Offers enterprise-grade security with GDPR compliance.
  • Offers 100+ integrations with existing CRMs and CCaaS systems.
  • Specially designed for high-volume enterprise environments.
  • Allows AI agents to ingest internal data, reducing the need for manual FAQ.

Pros

  • Offers top-tier conversational AI and generative AI capabilities
  • Low-code/no-code option for quick flow creation
  • Seamless integration with CRM, ERP, and backend systems
  • Offers omni-channel services, including chat, SMS, and calls.

Cons

  • Implementation takes 2-4 weeks.
  • Building complex custom extensions can be difficult for non-technical users.
  • Requires significant cash, making it unsuitable for small businesses.

Pricing

Cognigy starts at around $2,500/month for lower usage, but for full deployments it often starts at $300,000.

6. Lindy

Best For: Businesses of all sizes seeking to automate routine tasks.

As a versatile voice AI agent, Lindy primarily automates a wide range of business tasks, including scheduling meetings and drafting emails, managing CRM updates, and conducting phone calls. With its no-code tool builder, Lindy has become popular in building custom AI agents tailored to the specific workflow needs. Lindy is primarily built as an internal workflow automation tool for business process automation and task orchestration. However, it does require additional support for real-time customer interaction.

Key Capabilities

  • The tool can quickly scan prospects based on predefined criteria and populate your CRM.
  • It drafts personalized messages to research prospects and provide richer insight.
  • It acts as an inbound sales agent, responding to inquiries and answering FAQs.
  • It automatically assigns qualified leads to the appropriate sales rep and notifies them.

Pros

  • Capable of handling end-to-end sales tasks.
  • Extensive integration for automatic data logging.
  • Offers a high volume of sales tasks easily.
  • Allows non-technical sales staff to build complex queries using natural language.

Cons

  • It is not optimized for high-volume, real-time voice conversations.
  • Its learning curve requires time to master complex flows.
  • Uses a credit-based system where complex tasks can consume credits rapidly.

Pricing

Lindy offers only 400 credits monthly with access to Agent Builder, Lindy Build, and a 1M character knowledge base. However, the pro plan starts at $30–$50/month, depending on the usage.

7. Bland AI

Best For: Primarily designed for enterprise and technical teams that need to automate high-volume phone calls.

Bland AI is an enterprise-grade AI voice tool that supports inbound calls. Although the tool claims its agents sound like humans, it unapologetically supports technical teams. Teams can design pathways to keep conversations on script and aligned with defined objectives.

Businesses can use the drag-and-drop builder and run prompts in real time. This makes it ideal for teams that want to deploy a sales tool quickly without a developer. Even teams can clone voices from short audio samples and run thousands of calls concurrently using dedicated infrastructure.

Key Capabilities

  • Agents can quickly handle thousands of concurrent calls for cold calling and qualifying leads.
  • It makes sure that inbound sales inquiries are answered instantly, even after hours.
  • The platform connects with platforms like HubSpot and Salesforce, triggering calls based on CRM events.
  • It offers real-time interactions, book appointments, and send follow-up SMS.
  • It offers 24/7 coverage, instantly engaging inbound leads, and improving conversion rates.

Pros

  • Highly capable of managing large batches of inbound and outbound calls.
  • Teams can effortlessly customize tone and voice for a more dynamic conversation.
  • Quick, ~800ms latency allows for natural conversation flow.
  • Supports custom LLMs, voice cloning, and deep CRM integration.

Cons

  • Requires an engineer or developer to set up and maintain the tool.
  • Costs can spike with failed calls or high-volume calls.
  • Offers limited support to businesses.
  • Sometimes, there are hidden costs apart from base rates.

Pricing

Bland AI follows a usage-based pricing model; however, it starts at $0.09 per connected minute for actual call time and interactions.

8. Synthflow

Best For: Small to medium-sized businesses looking to automate customer interactions.

Synthflow AI is a no-code conversational voice AI platform designed to automate inbound and outbound sales. It enables businesses to build and deploy AI-powered voice assistants for automating phone calls.

The tool acts as an automated sales rep, initiating calls, nurturing leads, and answering questions in real-time. Synthflow integrates with 9,000+ apps via Zapier and natively with major CRMs, ensuring call data, summaries, and recordings are automatically logged.

Key Capabilities

  • Handles unlimited, parallel calls, ensuring no missed opportunities.
  • With 24/7 response times, it significantly improves lead qualification speed.
  • Uses advanced voice synthesis for natural, human-like conversations.
  • Agents can schedule, reschedule, or cancel meetings directly.

Pros

  • Effortlessly create voice agents without developer resources.
  • Seamless integration with HubSpot, GoHighLevel, and other CRMs.
  • Offers faster setup for immediate sales use cases.
  • Offers white-labelling to resell AI agents.

Cons

  • Challenges in latency and response time.
  • Offers limited customization with the tool.
  • Occasional support for lower tier users.

Pricing

Synthflow uses a tiered subscription model, often including pre-paid minutes, with costs decreasing as you scale.

Try Plivo For Free

In 2026, buyers are looking for immediate response, personalized engagement, and seamless conversation- something sales teams are struggling with today. Partnering with an AI voice agent platform like Plivo helps bridge this gap by automating first-touch interactions, qualifying leads faster, and ensuring no opportunity is missed due to delays or resource constraints.

You can automate conversations across channels such as voice calls, SMS, WhatsApp, and web chat from a single dashboard without switching platforms. Using its no-code builder, teams can design, test, and optimize AI-driven workflows while maintaining brand behaviour and business logic.

Starting with a free trial gives you the flexibility to validate performance, reliability, and fit before deciding how extensively you want to adopt the AI voice tool across your business.

Start your free trial and build your first AI voice agent experience today.

FAQs

What is an AI Voice Agent for sales?

AI voice agents for sales are autonomous systems that streamline sales processes throughout the customer journey. Unlike traditional chatbots, these intelligent agents plan, reason, and act independently, often coordinating with other agents or systems to complete complex workflows.

How do AI voice agents work for sales?

AI voice agents work by capturing speech, converting it to text, and then using Natural Language Processing (NLP) to understand the user's intent. The system then uses a dialogue manager to decide on the appropriate action or response, which is generated and converted back into natural-sounding speech for delivery to the user.

Can AI voice agents replace human agents in a sales team?

AI voice agents can’t fully replace human agents, as in most cases, they serve as the first point of contact. These agents are best suited for FAQs, scheduling, and basic troubleshooting, and routing complex tasks to human agents.

Does your team need a no-code or a developer-first platform?

If you have a team with little to no technical knowledge, then scaling with a no-code platform is easier. However, with a team that has engineers by your side and needs deep customization, a developer-first platform gives you more flexibility.

How important are voice quality and response speed for your sales team?

Natural speech and tone matter more because they significantly shape callers' experience. If the AI sounds robotic or pauses too long, it can reduce trust and engagement, especially in customer-facing roles like sales.


Mar 24, 2026
5 mins

Best Platforms to Build AI Voice Assistants in 2026

Learn about the best AI voice assistant platforms for 2026 for developing robust AI voice assistants. Compare Plivo, Vapi, Retell AI, and other platforms, including their features, advantages, and specifications.

In today’s business landscape, AI voice assistants are already a key part of customer experience. They can cut call wait times dramatically and handle routine questions quickly. Yet many businesses still rely on manual phone support or siloed chatbots. Customers often switch channels but expect a single, seamless conversation. For example, a user might start on a website chat, later call support, and then get a follow-up SMS, but they see it as one conversation. If those systems aren’t connected, the context is lost and support slows down.

The solution is to use a modern AI voice platform that unifies channels and understands conversation context. These platforms use advanced speech recognition and natural language understanding so they can interpret what callers say. They then drive real-time actions like retrieving customer data or scheduling follow-ups. The following sections list some of the top AI voice assistant platforms today, each excelling in different ways, so you can pick one that fits your needs.

Key Things to Look for in an AI Voice Assistant Platform

  • Real-Time Conversational Understanding - You need more than speech-to-text and canned replies. Look for strong natural language understanding (NLU) that can track context across the whole call, handle back-and-forth questions, and adapt answers based on what has already been said.
  • Omnichannel Integration - Your customers do not stick to one channel. They may start on a phone call, continue on WhatsApp, reply to an email, and later open a web chat. The best platforms keep one shared conversation across voice, SMS, WhatsApp, chat, and email, so the context is never lost when a customer switches channels.
  • CRM & App Integrations - A smart assistant is only as helpful as the systems it can talk to. It should connect to your CRM, helpdesk, booking tools, payment systems, and internal APIs. This lets the assistant actually do things like fetch orders, update tickets, schedule appointments, qualify leads, and trigger workflows instead of just “answering questions.”
  • Context Awareness & Memory - A good assistant remembers what was said five minutes ago, but a great one remembers what happened in previous calls too, when it is safe and allowed. Look for session memory, access to customer history, and clean human handoff where the whole transcript and context flow to a live agent so the customer never has to repeat themselves.
  • Latency and Reliability - Voice calls feel “off” when the response is even a little late. Anything slower than a few hundred milliseconds starts to break the natural flow of speech. Choose platforms that are built on reliable telephony infrastructure, offer strong SLAs, and aim for end-to-end latency under about 300 milliseconds so conversations feel natural and human.

The Best Platforms for Building AI Voice Assistants in 2026

Plivo

Plivo is a full-stack, AI-first communications platform that combines carrier-grade telephony with modern AI agents across voice, SMS, WhatsApp, chat, and email on a single, unified layer. It is built for teams that want reliability and intelligence in the same place.

Instead of treating the AI voice assistant as a bolt-on, Plivo treats it as part of your entire customer communication fabric. Your agents, your AI, and your channels all sit on top of the same global infrastructure and data layer.

Key Features and Capabilities:

  • True omnichannel orchestration - Plivo lets you serve customers on voice, SMS, WhatsApp, web chat, and in-app chat from one platform, with a single view of each conversation. Context travels with the customer across channels, so they do not have to repeat details when they move from a phone call to a message thread.
  • AI voice agents with ultra-low latency - Plivo’s AI voice agents are designed for real-time conversation, with very low response times so calls feel natural and uninterrupted. Its global points of presence keep audio paths short, which reduces lag and keeps interactions smooth.
  • Choice of AI stack (LLM, STT, TTS) - You can plug in leading speech-to-text, language models, and text-to-speech providers like Deepgram, OpenAI, and ElevenLabs. This makes it easy to tune your assistant for your use case, whether you care most about accuracy, style, or cost.
  • No-code and API-first together - Non-technical teams get visual, drag-and-drop journey builders and no-code tools to launch AI agents without writing code. Developers get clean APIs and webhooks to embed Plivo into complex backends and custom workflows.
  • Deep CRM and app integrations - Plivo connects to popular CRMs, helpdesks, and commerce tools such as Salesforce, HubSpot, Zendesk, Shopify, and many other API-based systems. This allows AI agents to read and update customer records, orders, tickets, and more in real time.
  • Reliability, scale, and security - Plivo runs on a proven global carrier network with 99.99% uptime and fast failover, keeping your lines available even during spikes and outages. It offers enterprise-grade security and compliance controls, including strong encryption and support for strict regulatory environments like finance and healthcare.
  • Analytics, QA, and coaching - You can monitor live metrics, analyze historical calls, and track performance across agents (human or AI) to keep improving service. Features like call summaries, notes, and real-time coaching help teams learn from every interaction.

Why Plivo Is the Best Choice in This Category:

  • One platform for both voice AI and omnichannel CX - Most tools in this space either are great telephony pipes or they are great AI agents. Plivo is built to do both. It works as your backbone for voice and messaging while also giving you AI agents that can answer, act, and escalate across all your key channels. This means you do not have to wire together separate providers for telephony, AI, and omnichannel support, which lowers complexity and integration risk.
  • Works for small teams and large enterprises alike - Smaller teams can launch quickly using no-code builders, templates, and self-serve setup. As they grow, they can layer in custom integrations, advanced routing, and strict controls like role-based access, data residency, and detailed audit logs that larger organizations expect. This makes Plivo a platform you can start with early and keep as you scale, instead of outgrowing it in a year or two.
  • Strong ROI and cost control - Plivo’s AI voice agents and global infrastructure are designed to reduce operational costs by handling routine calls at scale while keeping call quality high. Its pricing and efficiency can cut voice automation costs by up to about 40% compared with many legacy setups, especially when you factor in fewer missed calls and shorter handle times. Because it connects directly to your CRMs, ERPs, and internal APIs, every minute on the line can do real work.
  • Flexible use cases across industries - Plivo powers use cases like:
    • 24/7 customer support agents that answer FAQs, reset passwords, and check order status.
    • After-hours and overflow handling for busy contact centers.
    • Appointment scheduling and reminders for healthcare, salons, and clinics.
    • Lead qualification and follow-up for sales teams.
    • Proactive notifications, alerts, and renewals for finance, logistics, and subscription businesses.

Because the same platform supports voice, SMS, WhatsApp, and chat, you can keep expanding your use cases without switching tools.

Best for: Teams that want an enterprise-grade, omnichannel foundation and AI voice agents in the same place, especially those who care about reliability, deep integrations, and long-term scalability.

Vapi

Vapi is the go-to choice for teams led by engineers because it behaves like a finely tuned playground for them to work with. Vapi is fast, modular, and programmable at its core. Instead of using a restrictive workflow builder, Vapi offers highly flexible APIs to integrate your preferred speech-to-text (STT) engine, large language model (LLM) engine, and text-to-speech (TTS) engine, allowing you to optimize every component of your voice stack.

It gets its name from providing extremely fast responses and real-time speech, which is perfect for the smart decisions that go into your conversations. Vapi also offers good call routing and analytics with webhooks that are used for call flows.

USP:

  • Sub-200-millisecond Latency: By utilizing the capabilities of edge computing, the platform provides ultra-low latency support for seamless conversational experiences.
  • Modular Voice Processing Pipeline: Organizations can choose their desired service providers for voice processing capabilities such as speech-to-text, language models, and text-to-speech, among others.
  • Webhook-Driven Routing: The use of real-time webhooks allows the organization to specify the decision logic used in the call flow.

Best for: Vapi is best suited for organizations that are heavy on developers and require detailed customization and control so that they can create highly personalized voice interactions.

Retell AI

Retell AI is heavily invested in the areas of conversational accuracy, call quality, and analytics. As such, Retell AI is well-suited for large organizations and call centers that monitor and analyze each and every call they make and receive. It is developed to function under large workloads and large numbers of concurrent requests while remaining clear and responsive.

Another important feature of Retell AI is the focus on learning from live call data and adapting to real-world user behavior. Its adaptive voice models are built to improve over time according to how users speak and what they say. For organizations that handle thousands of calls per day, Retell AI becomes an optimization engine for voice interactions.

USP:

  • Adaptive Voice Models: Retell AI’s voice models are continuously improved and adapted according to enterprise call traffic to increase intent recognition and overall accuracy.
  • Production-Scale Analytics: Retell AI offers in-depth analytics of call success and failure points, agent performance, and overall compliance via detailed analytics and reports.
  • Seamless Human Handoff: Should the need arise, Retell AI seamlessly transfers calls to human operators while maintaining call context and transcript so that customers are not asked to repeat themselves.

Best for: Large organizations and call centers that value analytics and optimization over time just as much as they value real-time call automation and bot interactions.

Synthflow

Synthflow is designed with teams in mind that want to use voice AI without having to do all that engineering work. The visual interface is designed to allow non-technical users such as operations managers, CX managers, or small business owners to create phone agents and flow in just a few hours instead of months. There is no need to wire everything together manually since Synthflow does this internally.

This allows users to create a no-code space that makes AI phone agents that they can test and deploy within just a few minutes. Synthflow is especially good for small teams that want to own their conversations without having to completely rely on developers.

USP:

  • Visual No-Code Builder: Synthflow has a visual interface that enables users to create branching conversations without having to write any code.
  • Instant Deployment: Synthflow enables users to create AI phone agents that they can deploy to live phone numbers with ease.
  • Template Marketplace: Synthflow has pre-built templates that users can use to create flows such as appointment scheduling, order status checks, lead capture, among others.

Best for: Synthflow is particularly good for small businesses that want to have control over their voice conversations without having to do any heavy-lifting.

Cognigy

Cognigy describes its role as a full-scale solution for conversational automation, especially within an enterprise setting, which is particularly applicable to organizations with complex contact centers that offer voice and chat capabilities. The platform is not limited to a specific modality, as it aims to offer a unified layer of automation for artificial intelligence, encompassing telephone, messaging, and agent tools, along with analytics, quality, and human-AI collaboration.

One of the standout features of Cognigy is its support for multilingual automation, particularly in terms of serving global brands with operations in many regions and dealing with diverse customer bases with different accents and dialects. Its agent assist or “co-pilot” features also enable the use of AI alongside human agents, where the AI can provide suggestions and access conversation history in real-time, which can have a huge impact on improving the quality of customer service.

USP:

  • Multilingual NLU
  • Enterprise Analytics Dashboard
  • Hybrid Collaboration

Best For: Large-scale businesses with operations in many regions, particularly those with contact centers that need a unified conversational automation solution with support for voice, chat, and agent assist in many languages.

ElevenLabs

ElevenLabs set out with the lofty goal of providing the most realistic text-to-speech available, and from there, they have continued to grow their capabilities in voice conversation. While they have many great features, ElevenLabs is particularly good in the area of voice quality, with expressive, emotionally driven, and highly customizable voices that can have the tone of the brand, character, or emotion desired, which is particularly useful in media, gaming, and education spaces.

For teams working on assistants that need to have a distinctly “on brand” tone, rather than sounding generic, the advanced voice cloning and multi-lingual capabilities of ElevenLabs are particularly compelling, as they allow brands to create their own unique tone while also minimizing latency.

USP:

  • Hyper-Realistic Voice Cloning: The platform allows users to create custom voices with the ability to control the tonal characteristics, speaking rate, and emotional expressions of the cloned voice.
  • Multilingual Voice Generation: The platform allows the creation of voice in various languages with naturalistic pronunciation.
  • Low-Latency Streaming Text-to-Speech (TTS): The platform provides high-quality, real-time text-to-speech capabilities for the development of conversational agents.

Best for: Brands and content creators that take their assistants’ voice very seriously and want to offer the best voice quality for their users.

Bland AI

Bland AI is an API-centric and telephony-centric solution that provides a high level of control for programmers and developers. Rather than providing a heavy user interface that abstracts away the complexity of telephony and voice integration, it provides building blocks for programmers to implement telephony and voice integration.

The transparent nature of Bland AI also extends to pricing and customization models. This is particularly appealing to programmers and developers who do not like opaque pricing models and bundled solutions. Bland AI is best for situations that require voice integration to be extremely tight and deep within existing phone infrastructure.

USP:

  • Telephony-Level Control: The platform provides programmatic access to the SIP and call flow, allowing the integration of the platform with the existing telephony infrastructure of the organization.
  • Transparent Pay-Per-Use Pricing: The platform allows the organization to easily calculate the costs of the solution without the burden of high platform costs.
  • Custom Voice Models: The platform allows the fine-tuning of the models based on the conversational data of the organization, allowing the agent to conform to the language and policies of the organization.

Best For: Infrastructure-centric teams with high volumes of telecommunications looking to deploy programmable AI over their existing telephone infrastructure.

Thoughtly

Thoughtly is centered on the concept of understanding what is happening on a call, rather than just handling it. Thoughtly's strength is in its speech analysis, sentiment analysis, and pattern recognition on high volumes of conversations, which is most valuable to operations teams, QA teams, customer success teams, etc., who want to understand trends they cannot understand through other means.

Instead of just handling calls, Thoughtly allows teams to understand how calls are going, how they are feeling, and what opportunities or risks exist within them. For teams who are already utilizing voice AI or human call center solutions, Thoughtly can now be used to further optimize these solutions.

USP:

  • Real-Time Sentiment Analysis: Emotional tonality and customer satisfaction during the course of a call.
  • Pattern Recognition Engine: Identification of recurring call-related issues, problems, and behavioral patterns in relation to high call volumes.
  • Predictive Escalation: Identification of potentially problematic conversation paths and initiation of intervention measures before customer disengagement or churn.

Best For: Call centers and customer service teams that want to receive in-depth analytics of call quality, sentiment, and risk of AI-handled calls and human-handled calls.

Goodcall

Goodcall is designed with small businesses in mind, such as salons, clinics, local services, and independent operators who need help with phone operations but don't have the luxury of an in-house IT team or contact center. Rather than requiring you to design complex flows, Goodcall provides an out-of-the-box AI phone assistant that can answer phone calls, answer FAQs, and book appointments with little or no setup required.

For many businesses, the actual benefit will come from the fact that Goodcall serves as a 24/7 front desk assistant, catching calls, syncing calendars, and sending follow-ups even when the physical front desk is unattended. And because it’s specifically designed for the segment, it avoids the complexity and focuses on the aspects that really matter, answering, understanding, and scheduling.

USP:

  • Zero Setup Deployment: Goodcall ensures that your AI phone assistant is ready to go in just a matter of minutes.
  • Calendar Sync: The Goodcall platform integrates seamlessly with Google Calendar or Calendly. This allows your AI phone assistant to schedule meetings, reschedule meetings, or confirm meetings in real time.
  • 24/7 Availability: The AI phone assistant can take phone calls around the clock. This ensures that you never miss a sale or an opportunity. The AI phone assistant will take voicemails and send follow-ups.

Best for: Goodcall is best for small and local businesses looking for a simple and reliable AI phone assistant for their business.

Conclusion

AI voice assistants are now a practical extension of your team’s front desk. When chosen wisely, they cut wait times, improve first-call resolutions, and let human staff focus on the hardest issues. There is no one-size-fits-all. If you need an enterprise-grade, multi-channel solution, Plivo is the most versatile choice today. If your approach is code-driven, Vapi or Bland AI give programmers maximum flexibility. For non-technical teams who want instant results, Synthflow or Goodcall let you launch voice agents in hours. Specialized platforms like Retell AI, Cognigy, ElevenLabs, and Thoughtly each excel at something unique.

In practice, start by listing your needs. Do you need deep CRM integration or ease of deployment? Multilingual support or branded voices? Then pilot a couple of platforms. For example, test Plivo or Synthflow for basic use cases like appointment booking, FAQs and measure improvements. The sooner you start using voice AI in your workflows, the sooner it feels like an effortless part of your business.

FAQs

How do AI voice assistants for business work?

AI voice assistants turn what the caller says into text, understand the intent, decide what to do, and then reply with natural-sounding speech. They use speech recognition (ASR), language understanding (LLM/NLP), and text-to-speech (TTS), and can also talk to your CRM or other tools to fetch or update data.​

What are the main benefits of using an AI voice assistant?

AI voice assistants can answer routine questions 24/7, cut wait times, and handle many calls at once. This reduces workload for human agents, lowers costs, and helps customers get faster, more consistent answers.​

Is an AI voice assistant worth it for small businesses?

Yes, even small businesses can benefit from an AI assistant that answers calls, books appointments, and captures leads when staff are busy or offline. Tools like Plivo, Goodcall, or Synthflow make it easier to start without a big IT team.

Which is the best AI voice assistant platform for omnichannel communication?

If you want one platform for voice, SMS, WhatsApp, chat, and email, Plivo is a strong option. It lets you keep a single conversation thread across channels instead of splitting context across many tools.

How much does it cost to use an AI voice assistant platform?

Most platforms use a pay-as-you-go or subscription model based on minutes used, number of calls, or number of agents. Costs also depend on which speech, LLM, and TTS providers you plug in and how many integrations you need. Checking pricing pages and running a small pilot is the best way to estimate your real cost per call.

Do I need coding skills to build an AI voice assistant?

Not always, no-code and low-code platforms like Synthflow and Goodcall let you build phone agents with visual editors. If you want deeper control, developer-focused tools like Plivo, Vapi, or Bland AI provide APIs so engineers can fully customize the experience.

Can AI voice assistants replace human agents?

They are better used as a first line of support. AI can handle FAQs, status updates, and simple workflows, while human agents focus on complex, sensitive, or high-value conversations. The most effective setups combine both, with smooth handoff from AI to humans.

What are the top use cases for AI voice assistants?

Common use cases include after-hours call handling, appointment scheduling, order tracking, password resets, lead qualification, outbound reminders, and proactive follow-ups. Industries like healthcare, retail, banking, logistics, hospitality, and SaaS all use AI voice agents for these tasks.

How do I integrate an AI voice assistant with my CRM or helpdesk?

Most modern platforms provide direct integrations or APIs for tools like Salesforce, HubSpot, and Zendesk. You connect your account, map fields, and then let the assistant read and update records (for example, creating tickets, logging calls, or updating contact details) automatically.

Is it safe to share customer data with AI voice assistants?

Reputable platforms use encryption, access controls, and compliance frameworks like GDPR to protect data. You should review each vendor’s security docs, data retention policies, and certifications, and configure what data is stored, masked, or deleted based on your internal policies.

Mar 23, 2026
5 mins

Top AI voice assistants for contact centers

Discover the best AI voice assistant platforms used in contact centers in 2026. Analyze the most popular platforms such as Cognigy, Retell AI, Vapi, Plivo, and more that are changing the way real-time, human-like customer service is delivered.

In 2026, contact centers are increasingly aided by AI-based voice assistants, which add to the efficiency and complexity of their operations. The AI voice assistants react to incoming calls in almost no time, enunciate speech clearly, and assist customers without any delay. By allowing contact centers to handle multiple calls simultaneously and assisting conversations in a friendly and natural way, they enable contact centers to handle a large number of calls effectively while maintaining a personalized customer experience.

Perceived as trustworthy digital assistants, AI voice assistants listen carefully, understand customers’ needs, and answer in a manner that is almost human-like. They also learn from previous conversations, which boosts improvements in subsequent conversations and assistance.

Platforms such as Retell AI, Cognigy, PolyAI, and Plivo provide solutions that facilitate call handling without losing the feeling that customers are indeed heard and assisted.

Platform choice goes beyond speed. Organizations need to evaluate how well the platform helps with workflow management, handling large volumes of calls, multilingual support, and insights that help improve services continuously.

This guide will review a number of the best AI voice assistant platforms that organizations in 2026 are using to provide faster, more reliable, and more human-like customer services.

What to Look For in an AI Voice Assistant for Your Contact Center

At this stage, you already know what AI voice assistants are. What you need now is a clear lens to compare platforms like Plivo, Cognigy, Retell AI, Vapi, and others and decide which one actually fits your contact center. Use these questions as a buying checklist:

Does it fit your existing contact center stack?

Focus on:

  • Native or proven integrations with your ACD/IVR and CRM
  • Support for your current routing logic (skills-based, queue-based, blended)
  • How it handles agent handoff and screen-pop in your existing desktop

What is latency and call quality like under real load?

Ask vendors to show:

  • End-to-end latency under load
  • How they minimize hops between telephony, ASR, LLM, and TTS
  • Whether they own their telephony stack (like Plivo) or rely on third-party carriers

How much control do you have over the AI stack and guardrails?

Decide:

  • Do you want a managed “single vendor” stack, or do you want to pick and swap STT/LLM/TTS as your needs change?
  • Can you enforce policies, tone, and escalation rules without re-architecting everything?
  • How easy is it to update prompts, flows, and guardrails when compliance rules change?

Does it give you the analytics and QA depth you actually need?

Look for:

  • 100% call coverage with scoring, not random sampling
  • Real-time alerts on risk, sentiment, and compliance breaches
  • Coachable outputs (scorecards, summaries, next-best-action) that your supervisors can use in 1:1s

How does it handle security, compliance, and data residency?

Check for:

  • Support for standards like HIPAA, GDPR, PCI DSS, SOC 2, and regional data residency options
  • Role-based access, redaction of sensitive data, and audit trails
  • Where audio, transcripts, and model logs actually live and how long they’re retained

Is the pricing model aligned with how your volumes will really grow?

Understand:

  • Whether pricing is per minute, per seat, per interaction, or a flat platform fee
  • How costs behave at your next 2-3 scale steps (for example, 10%, 50%, 100% of calls)
  • What happens when you add more channels (SMS, WhatsApp, chat) or more AI features

The Best AI Voice Assistant Platforms for Contact Centers in 2026

Below are the leading players shaping how enterprises are designing and deploying AI-driven voice contact centers worldwide.

Plivo

Plivo is a voice-first, AI-native communications platform that combines carrier-grade telephony with modern AI agents across voice, SMS, WhatsApp, chat, and email. For contact centers, it behaves less like a point tool and more like a backbone. It takes care of call delivery, identity, and reliability while letting your AI agents focus on actual conversations.

Unlike many AI tools that sit on top of someone else’s carrier network, Plivo owns and operates its entire telephony, messaging, and AI stack in one vertically integrated architecture. This cuts out extra hops, reduces latency, and gives you 99.99% uptime backed by strict compliance standards such as HIPAA, GDPR, SOC 2, PCI DSS, and more.

How Plivo fits into a modern contact center

In a contact center, Plivo can play three roles at once:

  • AI front line: AI voice agents that answer and place calls, qualify intent, resolve common issues, and hand off to human agents with full context when needed.
  • Omnichannel glue: A shared context layer across voice, SMS, WhatsApp, and chat so a customer’s journey feels like one continuous conversation.
  • Telephony backbone: Global phone numbers, SIP trunking, call routing, caller ID, STIR/SHAKEN, and CNAM handled by Plivo’s own network rather than fragile third-party carriers.

Key capabilities for contact centers

  • Carrier-grade telephony built in - Plivo provides native numbers, routing, recording, SIP trunking, and global connectivity across many countries, all within its own network. Because it does not outsource this layer. You get more consistent call quality, lower latency, and fewer moving parts to debug when something goes wrong. On top of that, features like verified caller ID, CNAM, and STIR/SHAKEN support help you avoid spam labeling, especially in outbound and blended environments.​
  • Real-time audio streaming and low-latency AI - Plivo streams live call audio over WebSockets to your AI runtime, which means your ASR, LLM, and TTS can respond quickly enough to support natural interruptions and turn-taking. This is critical in contact centers where even a few hundred milliseconds of extra delay can make calls feel robotic or “laggy” under real-world concurrency.
  • No-code AI agent builder (Vibe) plus full APIs - Non-technical CX and operations teams can use Plivo’s Vibe builder to spin up AI agents using plain-English instructions and visual workflows. You define the goals (for example, handle billing calls, reschedule deliveries, qualify leads), and Vibe translates that into call logic. At the same time, your engineering team still gets full control via APIs and webhooks if you want to orchestrate complex flows, integrate custom models, or plug Plivo into an existing CCaaS stack.
  • Multi-channel AI agents with shared context - The same business logic can run across voice, SMS, WhatsApp, and chat, which is particularly important for contact centers that see customers switching channels mid-journey. A customer might start with a chat on your website, follow up via phone, and receive an SMS confirmation after the call. Plivo keeps that context unified so the AI and human agents do not treat it as three separate issues.
  • Deep integrations with CRMs, helpdesks, and internal systems - Plivo exposes clean APIs and webhooks for you to read and write data to CRMs (Salesforce, HubSpot, etc.), helpdesks, booking systems, and in-house tools in real time. That means your AI agents can:
    • Pull customer profiles, orders, and tickets during a call
    • Log outcomes, summaries, and dispositions directly into your system of record
    • Trigger downstream workflows like refunds, escalations, or follow-up tasks
  • Security, compliance, and enterprise controls - Because Plivo is used in finance, healthcare, and other regulated industries, its stack is built with compliance in mind with encryption, audit logs, data residency options, and certifications like HIPAA, GDPR, PCI DSS, SOC 2, and more. Enterprise teams also get features such as role-based access control (RBAC), environment versioning, and audit-ready transcripts, which are important when legal and security teams are involved.

Why contact centers choose Plivo over other platforms

  • End-to-end control over the voice path - For high-volume centers, call quality and latency are the difference between a successful rollout and a failed pilot. Because Plivo owns its telephony and streams audio directly, you have fewer failure points and tighter control over performance.
  • Scales from pilot to multi-region rollouts without switching tools - Smaller teams can begin with a narrow use case (for example, after-hours support or one queue such as billing) using Vibe and basic integrations. As volumes and complexity grow, they can layer in advanced routing, multi-channel orchestration, and custom AI stacks without migrating away from Plivo.
  • Works for both AI-first and hybrid models - Plivo supports clean handoffs to live agents with full context, so it fits organizations that want AI to handle front-line traffic and those that want AI to support human agents rather than replace them. This flexibility matters if your strategy is to start with partial automation and phase in more over time.
  • Transparent, usage-based economics - Plivo offers pay-as-you-go pricing for voice and messaging, with enterprise plans starting around the $1,000 per month range for teams that need higher scale and dedicated support. That makes it easier to run meaningful pilots and scale based on real ROI instead of committing to a large, upfront platform fee from day one.

What makes Plivo stand out from the rest of the platforms

Core Advantages:

  • Global direct carrier connectivity with 99.99% uptime and built-in STIR/SHAKEN, CNAM, and compliance support.
  • Native multi-channel AI agents across voice, SMS, WhatsApp, chat, and email with shared context.
  • Combination of no-code (Vibe) and developer-first APIs so both ops leaders and engineers can work on the same platform.

Pricing: 

Usage-based pay-per-minute and per-message pricing with a free trial and credits to test real use cases. Enterprise plans start around $1,000/month for higher-volume, higher-support needs.

Perfect for:

Contact centers that want carrier-grade reliability and omnichannel AI in one place, and that expect to scale from a focused pilot to a global deployment without constantly changing vendors.

Cognigy

Cognigy describes itself as an enterprise automation framework for voice and chat, helping large enterprises in providing multilingual, omnichannel, human-AI collaborative experiences. The firm’s solution enables strong telephony infrastructure, customer relationship management, and agent assistance tool integration.

Core Advantages:

  • 40+ Languages with Regional Accents
  • Real Time Agent Assist (Next-Best-Action)
  • 360° Conversation Analytics Dashboard


Pricing: Enterprise licensing ($50K+/year)
Perfect For: Global enterprises with hybrid human-AI operations

Retell AI

Retell AI focuses on real-time call intelligence, highlighting adaptive voice models, analytics, and enterprise-level call optimization. The firm’s solution is widely used in the financial services, logistics, and business process outsourcing industries, where accuracy and scalability are critical.

Core Advantages:

  • Self-Learning from Live Call Data
  • Production Analytics (95% Accuracy)
  • Seamless Human Escalation

Pricing: Usage-based ($0.15/min and platform fee)
Perfect For: High-volume centers prioritizing accuracy and compliance.

Vapi

Vapi is an API-friendly platform that is developer-focused, built to enable customized, low-latency conversational flows. Vapi is ideal for contact centers that require full control over their AI models and conversational logic, without being bound by vendor-imposed limitations.

Core Advantages:

  • Sub-200ms Latency (Edge Processing)
  • Custom STT/LLM/TTS Pipeline
  • Webhook-Driven Call Control


Pricing: $99/mo starter and usage
Perfect For: Tech-savvy teams building custom solutions.

Omilia

Omilia excels in conversational NLU systems that replicate natural dialogues in voice channels. The platform is popular among financial institutions for its dialogue context retention and PCI-compliant voice verification.

Core Advantages:

  • Advanced Dialogue Management
  • PCI-Compliant Voice Authentication
  • Built-in QA & Compliance Suite


Perfect For: Secure industries (finance, healthcare).

Kore.ai

Kore.ai’s Experience Optimization (XO) platform empowers enterprises to build intelligent virtual agents (IVAs) with low-code tools. Its unique value lies in diagnostic automation and human sentiment blending.

Core Advantages:

  • Visual Flow Builder With Code Extensions
  • Emotion-Aware Responses
  • Genesys/Five9 Integration

Perfect For: Mid-market enterprises needing rapid deployment.

Observe.ai

Observe.ai focuses on agent performance, compliance monitoring, and customer experience analytics. Unlike others, it’s more about enhancing hybrid AI-human environments than full automation.

Core Advantages:

  • Real-Time QA for Every Call
  • Agent Performance Improvement
  • Compliance Risk Detection

Perfect For: Hybrid centers focused on agent enablement.

Five9

Five9, a long-time leader in the cloud-based contact center market, has incorporated AI automation technology completely into its Intelligent Cloud Contact Center (ICCC). This strategy combines proven telephony strengths with next-generation conversational middleware.

Core Advantages:

  • Intelligent Call Routing
  • Workforce Optimization
  • Global Scale & Reliability

Perfect For: Legacy modernization projects.

PolyAI

PolyAI leads in conversational naturalness, producing assistants that sound almost indistinguishable from real agents. It’s renowned for consistent customer tone and rapid adaptation without continuous re-training.

Core Advantages:

  • Emotional Tone Matching
  • Domain-Specific Learning
  • 1,000+ Concurrent Sessions

Perfect For: Premium brand experiences.

Platform Comparison Matrix

Platform Latency Languages Integrations Pricing Best For Limitations
Plivo <30 ms 20+ (multilingual) Any CRM/CC tools. Full CPaaS Pay-as-you-go ($/min) Omnichannel enterprise deployments. Custom AI stacks Requires pairing with external AI models
Cognigy 250 ms 100+ CCaaS (Genesys, Avaya), CRM Custom (enterprise) Global enterprises needing hybrid AI/human workflows Steeper learning curve. Enterprise budget
Retell AI 280 ms 15+ Custom APIs, databases Usage-based (~$0.15/min) High-volume, compliance-driven centers Telecom may be separate. Cost can rise with usage
Vapi 180 ms (edge) Custom Developer APIs (webhooks) Starter $99/m + usage Dev-led teams building fully custom voice pipelines No built-in telephony. Technical integration needed
Omilia 300 ms 25+ Enterprise banking/CC integrations Enterprise license Secure industries (finance, healthcare) High cost. Best for regulated use cases
Kore.ai 320 ms 30+ Genesys, Five9, CRM Enterprise license Mid-market/enterprise focusing on CX and emotion-aware bots Can be complex to fully optimize
Observe.ai N/A (quality focus) English (+ few) Quality management & CRM tools Subscription Hybrid teams focusing on QA and agent assist Not a standalone voice bot platform
Five9 350 ms 20+ Full CCaaS stack (WFM, WFO) Per-seat subscription Enterprises modernizing legacy call centers Less agile for pure AI-first use cases
PolyAI 220 ms 8 major Custom via APIs Enterprise license Premium conversational experiences Higher price. Requires advanced setup

Implementation Roadmap

Phase 1: Pilot (Weeks 1 - 4)

  • Select 1-2 use cases (billing, scheduling)
  • Deploy on 5-10% call volume
  • Measure: AHT, CSAT, abandonment rate

Phase 2: Scale (Months 2 - 3)

  • Expand to 30-50% volume
  • Add multilingual and complex intents
  • Train agents on escalation protocols

Phase 3: Optimize (Month 4+)

  • Full analytics implementation
  • Continuous model improvement
  • ROI measurement and expansion

Expected ROI Timeline: 3-6 months to breakeven, 12 months to 3x ROI.

Conclusion

As contact centers evolve, AI voice assistants have moved from “automation tools” to being business-critical assets that elevate performance, experience, and efficiency simultaneously.

  • Cognigy and Retell AI lead in enterprise automation and adaptive learning.
  • Plivo and Vapi dominate in developer control and omnichannel reach.
  • PolyAI and Kore.ai shine in conversational fluidity and brand alignment.
  • Observe.ai and Five9 are great in agent quality, compliance, and hybrid work efficiency.

Select according to call volume, language, and technology maturity. Pilot, test latency, resolution rate, and customer sentiment, and then scale. The future contact center is conversational, and the question is how intelligently you make it speak.

FAQs

What is an AI voice assistant for contact centers?

Software that automates real-time phone conversations using AI for speech recognition, intent analysis, and conversation control.

Can AI fully replace human agents?

No way. The most effective combinations are AI for the boring parts and humans for the emotional and hard stuff.

What is the optimal latency time for AI in contact centers?

Under 300 milliseconds to keep the conversation flowing naturally.

Which platform is friendliest with CRMs?

Plivo and Cognigy are the best options for good real-time CRM integration with multiple communication channels.

Which industries suit contact center AI?

Banking, healthcare, e-commerce, telecom, logistics. Any industry with lots of calls and multiple languages.

How important is analytics in AI contact centers?

Analytics are the core. Retell AI and Observe.ai are platforms that provide real-time agent performance, sentiment, and compliance analysis.

Can voice AI handle multiple languages?

Yes, Cognigy, PolyAI, and ElevenLabs handle global languages with robust accent insensitivity.

Is contact center AI secure?

The best platforms offer end-to-end encryption, data rules compliance, and data storage in designated regions.

What’s the biggest ROI driver in AI contact centers?

Reduced handle times, increased first-call resolutions, and improved customer sentiment through consistent and personalized service.

What’s next for AI voice in contact centers?

The future is smart computing, collaboration between human agents and AI, and real-time insights, transforming call centers into smart customer experience centers.

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Jul 19, 2023
5 mins

Leadership Talk: The Modern State of Customer Support

Join Plivo support lead Renu Yadav as she explores the evolving landscape of customer support, challenges faced by reps, essential skills, and changing technology.

Event
Customer Service

Leadership Talk: The Modern State of Customer Support

The customer service industry has undergone a revolution these last few years—teams have embraced remote and hybrid operations as standard, and sophisticated contact center technology has enabled businesses to push beyond the established limits of customer support.

We sat down with Renu Yadav, the head of customer support of the #1-rated cloud communications platform on the market, for a candid discussion about the modern state of customer support and the evolution of technology trends within the industry.​

Contacto: How has the landscape of the Customer Support industry evolved in the past few years, and what key factors were most impactful?

Renu: Significantly.

Ten years ago, phone support was the only option because businesses just wanted to have people that customers can talk to. Now there are so many choices that if a business makes it hard to get help, customers will take their business elsewhere.

Support is not limited to just phone or email support. Customers are now using multiple channels to interact with businesses, including live chat, and social media. Social media is no longer just a marketing platform, it has become a major channel for customers to interact with businesses.

There is also a need to have a global approach to support, and they need to be able to provide support in multiple languages and time zones.

AI and automation are being used to automate tasks, such as answering FAQs and answering routine questions. This frees up support agents to focus on resolving more complex issues.

There is a shift from transactional, reactive support to proactive, personalized, and experience-driven support. It is no longer seen as a cost center, but rather as an opportunity to differentiate from competitors and build customer loyalty.

Support is moving to a strategic department, capable of driving improvements across the business.

What are the biggest challenges that Customer Support reps face today, and how can they be overcome?

Renu: The responsibilities of a support agent look very different compared to a few years ago. Support teams are not required to just follow processes and perform routine tasks. Those can be achieved via automation. They need to come up with customized and tailored solutions to resolve issues faster.

  • Keeping up with product changes: Companies and products are rapidly innovating and updating their offerings. Support agents need to stay current with the latest product features and changes. Regular product training, refreshers, and product assessments can help support teams stay updated with product changes. At Plivo, we also review ticket trends to plan out refreshers on a biweekly basis.
  • Meeting rising customer expectations: Today’s customers expect fast, personalized support. Customers value getting their issues resolved in their first interaction with the support team. However, this can be a challenge if the issue is complex or if the representative doesn’t have the right information or authority to resolve it. To address this, companies can empower their representatives with the right resources, enable them with decision-making tools, and streamline their escalation processes. Cultivating a customer-centric culture across the organization can help align all departments toward meeting and exceeding customer expectations.
  • Working remotely: While remote work has impacted everyone, the impact is more on teams that need to work in groups. It was way easier to train, identify ticket trends, outages, coordinate with other stakeholders, manage escalations, and even get help on any issues in real-time. The shift to remote work has brought new challenges for customer support representatives, such as isolation, burnout, and communication difficulties. This can be mitigated by promoting a strong remote work culture, encouraging regular communication and team-building activities like off-work catchups so that the teams get to build a rapport and not all discussions are work-related.

Overcoming these challenges often requires a combined approach of people, process, and technology.

In your opinion, what are the most important qualities or skills that a customer support rep should possess to excel in their role?

Renu: That’s a great question, one that when I am interviewing candidates for my team I always like to ask. From my perspective, the most important skills vary by customer and situation:

  • Resilience, empathy, and patience: Dealing with customer complaints and issues can be stressful, and not every interaction is positive. Resilience and the ability to handle stress are key to maintaining a positive attitude and a high level of service. So is the ability to understand and share the feelings of customers. Customers often reach out when they are frustrated or upset, and an empathetic response can help calm them down and assure them that their concerns are being taken seriously.
  • Time management skills: Unlike other teams, Support work is not project/timeline based. It’s the number of calls/tickets they can handle in a day. This number is not stable and keeps changing on a day-to-day basis. They need to be able to prioritize and juggle multiple tasks at the same time. So time management is a crucial skill.
  • Business communication: Representatives need the ability to explain complex solutions in simple terms, as well as deep attention to detail to ensure they don’t miss any critical points while debugging an issue.
  • Teamwork: Support is often a team effort, and representatives need to work well with their colleagues to solve customer issues, share knowledge, and improve service processes.
  • Problem-solving & decision-making skills: Support teams also need to be able to think critically and come up with effective solutions to customer problems. This is becoming more and more critical in today’s fast-paced world. Agents are expected to be quick on their feet and able to come up with innovative solutions.

With that said, how can the right tool elevate a customer support representative’s ability to properly address a customer’s needs?

Renu: Without the right tool, a support rep would have to do way more work than necessary. In the right hands, an effective tool can:

  • Streamline routine tasks: Things such as ticket assignment to representatives, tracking the status of tickets, and adding options to have views on which tickets need to be prioritized. This frees up representatives’ time so that they can focus on resolving issues.
  • Provide a comprehensive view of the customer: Tools that integrate with various channels and systems can provide a comprehensive view of the customer. This includes the customer’s history, preferences, and previous interactions. This information can help representatives provide personalized and informed support.
  • Collect feedback from customers: Tools that allow customers to provide feedback can help organizations understand how their customers are experiencing their support. This feedback can be used to improve the support process and make it more customer-centric.
  • Provide a knowledge base or FAQ section: An detailed knowledge base or FAQ section can help customers find answers to their questions without having to contact a support representative.
  • Enable collaboration and escalation: Tools should also enable collaboration and escalation. This can help ensure that issues are escalated to the appropriate people when necessary.
  • Offer in-depth reporting and analytics: A support tool should not only be able to generate basic reports but also have the ability to create custom reports that can help organizations analyze customer interactions and identify trends. This data can be used in so many powerful ways.

With the rise of self-service options and automation, how do you see the role of Customer Support representatives evolving in the near and distant future?

Renu: It will have both positive and negative impacts, right?

The size of the teams will become smaller and smaller. AI and automation will be expected to handle routing queries. So the agents will be required to work on complex problems that require a human touch.

At the same time, the work is becoming more challenging so the focus going forward will be on the quality of teams and not the size of the teams.

Support is evolving from transactional to consultative support, from handling simple issues to resolving complex problems, and from being order takers to being customer advocates. They are now expected to be product experts who can help customers solve problems and help differentiate between competition.

Representatives are now tasked with resolving more complex issues which require them to think critically and creatively to solve problems. The insights gained from support interactions with customers influence product development, marketing, and other areas of the business.

These changes will free representatives from routine tasks and enable them to focus on the complex, challenging aspects of customer support that require a human touch but this also means that support agents will need to be committed to continual learning and adaptation.

So the overall contributions of the support teams will become increasingly valuable.

How do you think the increasing importance of customer experience and satisfaction has shaped the Customer Support industry, and what steps should companies take to prioritize these areas?

Renu: From a business perspective, it is not just important to get a customer on contract, it is more critical to retain the customer. That is where customer experience and satisfaction play a huge role. Companies can use customer support to differentiate themselves in a crowded market, and foster customer loyalty, and positive word-of-mouth.

Any company looking to prioritize customer experience and satisfaction within their business should:

  • Understand customer expectations: Regularly survey customers, monitor feedback, and stay abreast of market trends to understand what customers expect from their support experience.
  • Implement the right technology: Leverage technology to automate routine tasks, provide omnichannel support, personalize customer interactions, and gain insights from customer data.
  • Measure the right metrics: Look beyond traditional efficiency metrics (like average handle time) and measure metrics that reflect the quality of the customer experience, such as Customer Satisfaction (CSAT), Net Promoter Score (NPS), and Customer Effort Score (CES).
  • Foster a customer-centric culture: Make customer satisfaction a company-wide goal. All departments, not just customer support, should understand their role in contributing to the customer experience.
  • Review and improve: Regularly review your customer support operations and use customer feedback and data to identify areas for improvement. This process of continuous improvement is crucial in maintaining a high-quality customer experience.

With more options available to customers than ever before, how have customer expectations changed over the past few years?

Renu: Customers today expect businesses to provide instant, 24/7, multi-channel support with self-service options and transparency.

  • Customers expect more convenience: Customers today are accustomed to getting what they want when they want it, and how they want it. This means that businesses need to offer convenient customer support options, such as 24/7 support, live chat, and self-service options.
  • Customers expect more personalization: Customers today expect a personalized experience, and this is no different in customer support. Businesses are using data and analytics to personalize their customer support interactions, tailoring them to the individual customer’s needs and preferences. This can help to improve customer satisfaction and loyalty.
  • Customers expect more transparency: Customers today want to be kept informed about the status of their issue and what is being done to resolve it. Businesses need to be transparent with their customers and communicate with them throughout the customer support process.
  • Customers expect more empathy: Customers today want to feel like they are being heard and understood. Businesses need to be empathetic to their customers and understand their frustration. This will help to build trust and rapport with customers.
  • Customers expect more speed: Customers today expect their issues to be resolved quickly. Businesses need to be responsive and resolve customer issues as quickly as possible.

Can you share any insight on the use of data and analytics in customer support? How can data-driven approaches enhance the overall customer experience?

Renu: Data is huge right now. And I am not talking about customer data. I am talking about issue data and ticket data. If used the right way, there is so much key information to be pulled:

  • What kind of issues do we receive on a daily, weekly, monthly basis?
  • What product are we facing the most issues on?
  • Are there any enhancements required in the product?
  • Which support channel do customers find most convenient?
  • To track escalations.
  • To find which customers are raising the most queries.
  • What are our response and resolution times?
  • What training do we need to create for our teams?
  • How satisfied are our customers?

By using data, support can move from a reactive function to a strategic one, capable of driving improvements across the business.

What channels do you personally find to be the most effective for resolving the support needs of your customers?

Renu: The effectiveness of different customer support channels depends on the nature of the customer’s issue and the customer’s preferences. Phone support is not a great tool for customers if they need to be put on hold for a long time. On the other hand, though, email support won’t necessarily be the best tool for customers who have an urgent issue that needs to be looked into immediately.

In my opinion, using a combination of tools can ensure that businesses are able to provide support that meets the needs of all of their customers.

Self-service options are a great way to reduce the number of queries coming to support agents and allow them to focus on more complex problems. I also think that it is important to build an extensive FAQ section so that customers can easily find answers to common questions.

I also think that chatbots and AI can be valuable tools for customer support. They can provide instant, 24/7 support for simple inquiries or issues, and they can also gather initial information before escalating more complex issues to human agents.

I have one final question for you before I let you go. If you had one feature on your customer support tool wishlist, what would that be and why?

Renu: It would be the ability to integrate with other tools and systems. This would allow customer support representatives to have a single view of the customer, which would make it easier to resolve issues and provide better support.

For example, if a customer has a problem with their order, the customer support representative could see the customer’s order history, shipping information, and payment information. This would allow the representative to quickly identify the issue and resolve it.

The ability to create custom reports is a close second. It is not enough to only work on issues and meet KPIs. It is also essential to find trends and patterns. This can help in so many ways, such as improving product offerings, streamlining processes, reducing response and resolution times, collaborating with internal teams, and so on.

Thank you for taking the time to chat with us—it sounds like you and your team are doing some amazing things at Plivo with the tools available to you. I look forward to speaking with you again soon!

Renu: Of course, my pleasure!

Apr 28, 2023
5 mins

What is Call Quality? How to Monitor it in Your Contact Center

Call quality helps businesses measure the effectiveness of support conversations between customer service agents and customers. Learn about call quality and how to monitor it in this blog.

Customer Service
Customer Experience

What is Call Quality? How to Monitor it in Your Contact Center

These days, contact center managers can find answers to questions about call strategy with a much more analytically rigorous approach than a reflection on their personal experience.  

Thanks to the proliferation of cloud contact center solutions, collecting and analyzing conversational data from calls between customers and agents has never been easier.

With call recordings and call metrics, contact center managers can routinely identify low-quality calls, listen to them, spot weaknesses, and help the agent and team address these shortcomings through personalized training plans and alterations to call processes and scripts.  

In this article, we’ll explain what call quality is, why monitoring it is so essential for contact centers, and how busy managers can do it efficiently and intelligently with the help of technology.

What is Call Quality?

Call quality is a measure of the effectiveness of phone call conversations between a business’s contact center agents and its customers.

Each contact center has its own set of standards that determine call quality. But, in general, high-quality conversations are those in which the contact center agent is polite and helpful and leaves the customer satisfied with a clear solution to their problem.

Call quality monitoring, on the other hand, is the ongoing process of gathering data about customer service phone calls and analyzing that data to find ways to improve a contact center’s performance.

Importance of Call Quality Monitoring in a Contact Center

When customer service has such a large effect on customer experience, sales, and customer retention, contact center managers have to work towards optimizing their team’s performance on the phones, and call quality monitoring is the most effective way to do that. The following analogy will explain why.

A top-tier sports coach adjusts their training regiment based on the weaknesses they perceive through closely observing players in action. They know that assigning dribbling practice to a forward with already dizzying foot skills is a failure to use training time as efficiently as possible.

The contact center manager must follow the same coaching strategy in order to consistently improve agent performance. They have to uncover the various weaknesses of each agent, as well as the overall team, through effective call quality monitoring.

By identifying shortcomings in how agents handle calls, the manager can give personalized training assignments or reference material to agents, such as a specific technical white paper or objection handling script.

Managers can also change their contact center processes to eliminate the shortcoming across the entire team.

For example, after diving into contact center analytics, you might find that calls tend to fail when customers ask about “technical issue X”. You could then educate their agents on that product problem and update the call script with language they can easily reference mid-call.

How Contact/Call Center Teams can Monitor Call Quality

The ultimate aim of call quality monitoring is to increase agent performance by identifying weaknesses in call handling and then implementing corrective action.

To monitor call quality, contact center managers set up systems to collect and analyze information about customer interactions to uncover insights about how to improve customer service.

They may use the following to collect information about customer calls:

  • Call recordings
  • Customer surveys
  • Social media mentions
  • Data from other channels — live chat, email, etc.

To visualize this in practice, imagine that you record all of the agents’ phone calls, along with the customer survey results about those conversations, in a contact center platform.

Whenever a customer leaves a poor review, you listen to the phone call with the agent, pinpoint the reasons why the call failed, and then instruct the agent on how to improve next time around.

If the issue is common enough, you may also update your team’s standard operating procedures or script to prevent it from happening again. You might also share the advice you gave the individual agent to the entire team in a team meeting.

As you can imagine, call quality monitoring gets tricky when there is a large number of calls to track. It’s impossible to listen to all of them, and difficult to tease out the most common flaws in agent call handling.  With that in mind, here are some best practices to follow to ensure you monitor call quality efficiently:

Automate Call Data Collection & Analysis

Call data consists of call recordings, live metrics, historical reporting, and other call-related metrics like average handle time (AHT).

Many companies use a cloud contact center solution to capture this data automatically during conversations. The software also helps them analyze that data, making it easier to identify calls that failed, as well as why they failed.

In sum, automating data collection and analysis with the right software is an essential step in creating a systematic approach to call quality monitoring.

Listen Critically to the Recordings

On their own, the metrics you collect through automation won’t give you the entire picture of how the agent, or your process, is falling short.

To truly understand the nature of the problem, you need to listen to call recordings, asking questions like the following:

  • Is the agent following the script?
  • What causes customer friction? Are there certain talking points that come before it?
  • What types of questions is the agent asking?
  • When does the call seem to fall apart?
  • Were there any missed opportunities to provide clarity?
  • Is it evident that the agent is lacking some fundamental knowledge about the product?

A close, critical listen to an agent’s conversation with a customer can uncover subtle issues with the agent’s technique that you can help them overcome to unlock their true potential.

Track the Impact of New Processes

Whenever you implement a new call handling process or make changes to your script, it’s crucial that you track the impact of that shift. That way, you’ll come to know if your plan is actually paying off, or if you need to go back to the drawing board.

To track the impact, compare team-wide metrics like average handle time or average CSAT from before and after the implementation. Ask yourself whether there is a significant bump in these numbers. If it’s succeeding, great job. If not, you may have misdiagnosed the issue.

Conclusion

Monitoring call quality with an eye toward improvement in agent performance is an essential practice for leaders in contact centers. Only through ongoing call quality measurement and analysis can true progress occur.

If you’re looking for a tool that will help you monitor call quality and bolster agent performance with features like call whispering and agent dashboards, check out how PlivoCX can help.

Sep 20, 2022
5 mins

Call Queuing: Benefits, Best Practices, And How it Works

Call queuing is a method of managing inbound calls at a contact center. This blog covers how you can use call queuing to manage call volumes and reduce overall agent workload.

Customer Experience
Customer Service

Call Queuing: Benefits, Best Practices, and How It Works

If people get frustrated waiting in lines for something as fun as a roller coaster ride at an amusement park, imagine their agitation while waiting to speak with a vendor about technical issues and billing errors. Yikes.

As humans, patience is not our strong suit, especially when it comes to things we don’t necessarily enjoy in the first place. But, fortunately, we have tools and technologies at our disposal to alleviate the challenges or frustrations associated with customer service experiences.

These days, businesses have access to call queuing technology that ensures their customers can quickly reach an agent and have a satisfactory experience.

We’re here to offer you the basics of call queuing—how it works, why it’s so effective, and best practices for managing it.

What is call queuing?

Call queuing allows callers to virtually wait in line for their turn to speak with a customer service representative. This call queuing system allows contact centers to follow the social rule of first come, first served, mimicking what would occur in a physical place of business.

Implemented correctly with the right technology, call queuing leads to happier customers, more satisfied agents, and lower call-abandonment rates.

How does call queuing work in a contact center?

When a customer calls into a contact center, the call-queue feature assigns them a spot in line where they wait on hold, often listening to music, until it’s their turn to speak with an agent. This process is mostly consistent across systems—the specifics of the call-queue process, however, depend on which technologies the business uses.

For example, some cloud-based contact centers have a feature called automated callback, which enables the customer the option to hang up without losing their spot in the queue. When the customer reaches the front of the line, the phone software automatically calls them back and connects them with an agent.

Many call-queue software tools utilize an automated voice message to greet callers and tell them their spot in the line or the expected wait time. This gives customers a sense of control and helps to manage expectations—without this feature, 60% of customers are likely to abandon the call within the 2-5 minute range.

Five ways call queuing benefits your business

There are many benefits to using call queuing in your contact center, all of which lead to greater revenue numbers and lower customer churn for your business.

  • Reduce customer wait time: IVR technology, a necessity for effective call queueing, routes customers to agents based on factors such as: availability, skill or specialty, region or time zone, language, and others. This distributes calls evenly and appropriately among agents and can significantly reduce average handle time.
  • Keep customers engaged: Call-queuing software enables you to upload music files, greetings, and other messages to entertain or educate the customer during the wait.
  • Improve brand loyalty: Customers are grateful to businesses that prioritize their time. They take it as a gesture of respect and value.
  • Lower call abandonment: When customers can visualize how long the line is in front of them, they can more easily handle the wait. The automated callback feature makes it so they don’t even have to stay on the line.
  • Increase customer satisfaction: Aside from shortening the wait, call-queueing software also often uses intelligent call routing to send customers to agents best equipped to answer their inquiry, which leads to faster resolution.

Call queuing isn’t just about keeping current customers happy—it’s also effective for securing new ones. If a new customer calls your business and then abandons the call because they cannot reach a service agent, it’s unlikely they’ll ever call back. They’ll take their business to a competitor instead.

Software for call queuing can reduce call abandonment rates via various features and therefore ensure that you avoid losing new, interested leads who call your business.

4 best practices of call queue management

Call queueing needs to be set up appropriately using the right software to effectively reduce the wait for your customers. Let’s go over four best practices for call queue management.  

Provide self-service options to reduce the queue

The fewer people there are in line, the faster the queue moves. Find an omnichannel contact center solution that enables you to offer self-service options to your customers, such as chatbots and interactive voice response (IVR).

That way, customers with simple questions can get their answers quickly without calling your contact center and taking up a spot in the line that could go to a customer with a more complex issue.

Always use an IVR system

Most contact center solutions with call queuing offer an IVR system, which automatically greets inbound calls with an automated voice message and, based on caller input, routes them to the right department, team, or skill group.  

You’ve likely been on the customer end of an IVR system before. The system begins by prompting you to select from a list of options (“dial 1 for customer service, 2 for sales”, etc.). Then, based on your response, it routes the call to the right department, where you may have to wait in a queue.

Or, if the question is a simple one like “what are the business hours,” the IVR can provide the caller with an answer, thereby eliminating their need to wait in line and shortening the queue for other customers.

Set up automated callbacks

Automated callback is a feature that allows customers to maintain their place in line without staying on the phone call. Depending on how costs are structured for outbound calling, businesses may opt to only use this feature during peak call volume periods.

If the customer opts into an automated callback, the phone system software will keep track of their spot, and when an agent becomes available, automatically place the outbound call.

Minimize customers’ hold time

According to HubSpot, 90% of customers rate an “immediate” response to a customer service question as being extremely important to their experience.  One of the best ways to reduce hold time and get customers the fast service they want is to improve agent productivity.

Alongside call queuing, a cloud contact center solution will give your agents tools that enable them to more effectively handle customer calls, from call whispering to a unified agent dashboard - where they can review the customer’s details and past conversations, call scripting, and conversation analytics.

Conclusion

Customers just can’t stand waiting in line, so it’s essential that your business uses call queuing in your contact center to shorten the wait time or at least make it less painful.

If you’re looking for a tool that offers not only call queuing but also IVR, automated callbacks, and other features that help you improve your call handle time, check out PlivoCX, a cloud contact center platform that’s easy to use.

Sep 10, 2022
5 mins

Benefits of Integrating Your Ticketing System and Contact Center

Integrating your ticketing system and contact center is essential to process tickets faster and solve customer issues. Read through this article to know the top benefits of integrating your CRM and contact center.

Customer Service

Why do businesses need ticketing software?

In today’s hyper-personalized market, customers are seeking to be understood. Quick resolution, regardless of the issue, and emotionally intelligent service staff are paramount to small and medium business success. Investing in tools that facilitate an efficient agent experience and a frictionless customer experience will elevate your business.

To accomplish this, consider your ticketing or customer relationship management (CRM) software and how well (if at all) it can integrate with your customer service software. In the short term, your customer service staff need to solve customer issues fast. Looking at the midterm, you need to track customer interactions with your brand and derive insights from those interactions. Monitoring patterns of customer behavior and agent “hacks” or workarounds to overcome points of friction in your systems and workflows can make a huge difference in customer experience. From a long-term strategy viewpoint, the insights from one quarter can inform forecasting to scale staffing, product, or support activities in the next.

In any case, a ticketing system coupled with a customer service solution will help enable you to find where customer relationships can improve and to position your business for continued growth.

Benefits of integrating your ticketing system and contact center

Consider critical tools used in other areas of your business: accounting software, inventory management, point of sale, and so on, each to manage a certain function of your business and give you insight as to what is happening. A ticketing system helps you manage internal or external issues that need resolution. For external customer interactions, that ticketing system coupled with an integrated contact center platform or customer service workspace will enable you to receive, process, and resolve customer inquiries. With robust integration between these two systems, the following are just a few examples of the benefits:

  • Single source of truth and synchronized data across systems
  • Efficient and effective business processes
  • Improved agent experience and satisfaction
  • Reduced duplication and errors
  • Insights for agent coaching
  • Historical data to inform forward-looking strategy

Who would benefit from integrating ticketing system and contact center

In general, any business that interfaces with customers would benefit from a ticketing system. Some signs or symptoms indicating you might need to make the investment could be:

  • You frequently apologize for not getting back to customers
  • Email is your customer service system
  • Currently you have no way to calculate average issue-resolution time

If you currently have dedicated staff or agents for customer service inquiries and you do not have a ticketing system, your business is a prime candidate.

For support teams utilizing a multichannel approach—meaning your contact channels (phone, email, text, WhatsApp) are distinct or siloed, or you have to “swivel chair” from system to system to manage communications on each channel—a unified omnichannel customer service platform integrated with a ticketing system can be a game-changer for your business.

Contact center features to look for when integrating with ticketing systems

For businesses that are just beginning to unify and mature their customer service—perhaps from that multichannel approach to an omnichannel approach—or for businesses that are evaluating a system upgrade or replacement for their long-standing customer service practice, there are really two primary features to consider:

  • API integration: Does the ticketing system provide an application programming interface (API) that can integrate with your customer service workbench?
  • Automations: Are time-saving automations possible with my customer service, e.g., callbacks, sending reminders or notifications, queues, and routing

Why Contacto’s integration with ticketing systems can help

When considering the benefits of this type of integration, those most directly impacted are undoubtedly the customer and the agent. But simply tracking issues is not enough. You need a system to interface with customers and track those interactions for internal use. Let’s take a look at how a ticketing system coupled with a contact center can not only alleviate pain points, but offer added value as well.

Customer

Above customer satisfaction and net promoter score, customer effort has the most direct impact to top line revenue. The following pain/gain approach illustrates the benefits of various customer conversation channels coupled with a ticketing system:

Agent

Streamlined agent workflow makes efficient use of precious time and resources and increases agent satisfaction as a result. There are many agent experience enhancements a business might prioritize, but we recommend the following as the top two pain points to alleviate:  

Conclusion

No matter where you are on the journey to improving, scaling, or maturing your customer service motion, a ticketing solution coupled with a contact center platform will drastically improve your business workflows, employee performance, and customer satisfaction.  

Aug 22, 2022
5 mins

Simple Ways to Improve the Ecommerce Customer Experience

Having a reliable customer support system for an ecommerce business is crucial and can have a high impact on the bottom line. This blog covers simple ways to improve your ecommerce customer service.

Customer Experience

Improving the ecommerce customer experience

Why customer service is especially crucial in ecommerce

Customer service is important in almost every industry for improving the customer experience. In fact, data from Microsoft shows that 95% of consumers think customer service is important for brand loyalty.

However, customer service is especially important for ecommerce businesses. In ecommerce, the customer service agents are often the first and only people at the company with whom customers interact.

It’s not like real estate or SaaS where a buyer develops a strong relationship with a salesperson before making a purchase. Ecommerce customers often buy a product without ever talking to a representative of the brand. Only when they have a question or problem do they reach out.

And when that happens, it’s a member of the customer service team who answers. So this department holds a lot of power to hurt or improve customer relationships.

Beyond this, customers in the ecommerce space have extremely high standards. They expect fast, hassle-free resolutions to their issues, along with personalized treatment. If you don’t offer this, customers can easily find a similar product at another brand.  

For these reasons, ecommerce companies need to prioritize initiatives to bolster their customer service more so than most other business types.

Six simple ways to improve the ecommerce customer experience

There are two chief indicators of ongoing success as an ecommerce company: top-notch products and exceptional customer service. Below are six effective ways to work toward the latter.

Use data and agent context to understand customer preferences

Customers have distinct and constantly evolving preferences. Some prefer phone calls, while others want to reach out over live chat. One might desire an email to resolve a billing issue but social media to ask for a refund.

It’s important to constantly monitor your customers’ preferences and adjust your communications strategy accordingly. You can figure out these changes by sending recurring surveys, tracking channel data in your customer service software, and reading industry reports.

To ensure they satisfy all customers, many companies also use contact center as a service (CCaaS) software, which allows users to communicate with customers across multiple channels, including self-service methods like chatbots or IVR.

CCaaS companies are always monitoring customer preferences and adding new channels to their platforms as customer demand for them increases. That way their users are always on the cutting-edge of customer service.

360° coverage across support channels

Seventy-one percent of consumers experience frustration when their shopping experience is impersonal. Customers dislike it when they can’t use their favorite communication channel or when they have to repeat information to a customer service agent that they’ve already shared with another agent.

The first issue can be handled with a multichannel approach, but that doesn’t resolve the second issue given that each channel’s data is siloed. A rep on a phone call with a customer can’t easily find what that customer said previously on live chat or email.

To service customers on their favorite channels and provide a seamless experience, you need an omnichannel approach where all channels are integrated and their collected customer data is accessible to agents from one dashboard regardless of which channel the customer is currently using.

Empower your customers with self-service tools

Sometimes customers don’t want to speak with a live agent. Perhaps they feel their issue is simple to resolve — 74% of internet users prefer using chatbots when looking for answers to simple questions.

Or maybe they’re just feeling especially introverted that day. Regardless of their reasons, those customers will appreciate the self-service options your team provides.

Here are some customer self-service types to offer:

  • Chatbots: These are computer programs that simulate conversations with your website visitors.
  • Interactive Voice Response: IVR enables users to interact with an automated phone system through voice or dial tones.
  • Knowledge Center: This is a part of your website that hosts tutorials, guides, and videos that answer commonly asked questions.

When you empower your customers to handle their own issues, you improve their experience and also reduce the pressure on your agents, which leads to shorter wait times for customers who really do need an agent’s help.  

Follow the sun—24/5 customer support

If you have trouble with a customer service tool, it indirectly impacts your customers in a negative way. For example, if your live chat system crashes, customers in the middle of a conversation will have to start all over.

That’s why it’s so critical to use high-quality customer service tools that come with support 24 hours a day, 5 days a week, so that you can get answers and assistance quickly and get back to focusing on your customers instead of technical difficulties.  

Modernized support for the mobile-first era

Statista predicts that 187.5 million people will make a purchase via their smartphone in 2024, an increase of 20 million from 2020. The trend toward mobile shopping is obvious.

Therefore, it’s critical that you give your customers the ability to easily access your ecommerce store and customer service team via their mobile devices. Consider designing your website for mobile users and offering an ecommerce mobile app for your business.

Support that evolves with your customers

Improving customer experience is an iterative process. You have to try new techniques, measure your customers’ reaction to them, and then, based on the results, take another step in the right direction.

To do this, you need to collect customer data and feedback. Many companies use surveys with specific questions to measure their customer satisfaction.

They also use some sort of customer service software to track key customer service metrics like busiest hours, communication volume by channel, and average resolution time.

Collecting and analyzing this information enables customer service teams to make data-driven decisions about their strategy.    

Picking the right ecommerce customer service software

An ecommerce customer service team looking to improve their overall customer experience should look for customer service software that allows them to enact the strategies we’ve listed above.

The right platform will have 24/5 support and empower you to use an omnichannel approach, offer self-service options, go mobile-first, and track customer service data.

Conclusion

Customer experience is essential to an ecommerce business’s success, and the customer service team has a tremendous effect on this experience.

It’s crucial that you arm your agents with the tools they need to best serve your customers. Check out how PlivoCX, a cloud-based contact center software, can help.

Aug 16, 2022
5 mins

What is Call Routing? Types, Benefits & How it Works

Call routing automatically directs incoming calls to the right department based on an established set of rules. Find how phone routing works, its types & benefits in this blog.

Customer Service

What is Call Routing? Types, Benefits & How it Works

From a consumer perspective, B2C companies are measured by two things:the quality of their products, and quality of customer service.

While most businesses understand the importance of providing quick support to their paying customers, modern businesses utilizing new-era omnichannel cloud contact centers like PlivoCX service have a secret weapon available to them—call routing.

What is call routing?

Call routing describes the process by which support requests are assigned to a specified customer service queue based upon the needs of the consumer.

While call routing traditionally applies to voice calls, the emergence of modern support channels like SMS messaging, chat, social media, etc. have caused the term to take on a broader meaning for the process of pairing a customer with the right agent.

Types of call routing and how does call routing work?

So, how exactly does call routing work, and how are modern contact centers pairing customer support requests with the right agent?

To answer this question, we must first understand the different types of call routing, and how you might want to employ each within your customer service operation.

Source: GetVoIP.com

A next-generation contact center like PlivoCX Service will come equipped with a robust drag-and-drop workflow builder, allowing B2C teams to establish rules that assign support requests to agents with respect to the type of call routing at play.

You can see how this works in practice with our quick 1-minute video on drag & drop queue configuration:

With a custom workflow in place, customer support voice calls will be automatically routed to an agent based on criteria provided by the customer at the time the call is placed.

What is the difference between call routing and call forwarding?

If you’ve asked yourself “what is call routing”, you may also be curious about call forwarding. While virtual call routing is a dedicated procedure by which customer support calls are directed to the best agent for the job, call forwarding is a process which forwards voice calls to multiple phone numbers for a single agent, enhancing that agent’s coverage across devices.

In practice, this means that if an agent is unable to answer their desk phone for a customer call when it rings, that call will be passed on to their mobile or home phone number automatically without any difficulty for the customer.

Call forwarding serves as a useful, complementary tool for call routing that can enhance an agent’s ability to best serve their assigned customer.

Common use cases of call routing & business impact

So now that we’ve covered the questions of “what is call routing” and “how does call routing work”, let’s talk about how a contact center with a robust call routing system can empower your customer service agents, reduce customer friction, and promote growth in your business.

Top 5 use cases of call routing

There are innumerable benefits to incorporating a virtual call routing system into your business, but here are five popular use cases to get your started, and how each can help you grow your business.

Always-on customer service operation

Customer’s feeling like nobody is listening to them is a $75 billion dollar problem. Establishing workflows designed to route voice calls to different support operations depending on agent hours ensures that your customers never feel unheard, as somebody will always be available to solve their problems.

Premium service for premium customers

Whether they earn their premium status through purchase or over a period of time, it’s important to reward customer loyalty. B2C teams can configure call routing workflows to ensure that their best customers always have a direct line to an agent.

Skills to pay the bills

Let’s say a longtime customer has a billing issue that threatens their retention—skills-based call routing can guarantee that your customer is assigned an agent equipped with the proper skill set and tools necessary for a prompt resolution.

Building a relationship

There’s nothing worse than having to explain your customer support needs five different times to five different agents—14% of customers take their business elsewhere because their complaints aren’t handled properly. Relationship-based call routing allows teams to automatically assign support requests to agents who have previously helped a given customer.

Support at light speed

Sometimes, the best thing you can do for your customers is to give them somebody to talk to as quickly as possible. With round robin call routing, you can set a workflow that immediately pairs a customer with the next available agent, cutting down on wait times and reducing abandonment rates.

How PlivoCX pairs the right agents with the right customers

PlivoCX is cloud contact center software for B2C teams built with customer and agent satisfaction in mind. With Contacto, agent teams are supported by helpful automations, a unified desktop, and an omnichannel experience to exceed consumer needs and create happy customers and agents alike.

If you’re looking to keep up with the demands of the new era of support operations, we’re here to help.

Book a demo with our sales team, and we’ll help you find the right solution for your team’s needs.

Jul 26, 2022
5 mins

Top 6 Customer Service Channels (Hint:Voice is still king, for now)

Handling customer inquiries is the most important role in providing great CX. Find out why voice is still the king for now among the best customer service channels.

Customer Service
Industry Insights

Chat

In terms of customer satisfaction, live chat is the most meaningful and effective digital channel. With nearly 1 in 3 customers attempting to self-service by visiting a company website before placing a voice call, a robust live chat capability is a low-effort high-ROI solution to reduce customer friction, expedite issue resolution, and increase revenue - in some cases at a rate of 2.4x for cross-sell and upsell opportunities.

Social

The most compelling statistic came from Facebook with a reported 100% increase in customer messages to businesses from 2019 to 2020.

Spotify begins training their agents on the email customer support channel before clearing them for the social support channel. Throughout the training agent emails are evaluated for specific quality and service metrics to ensure agent confidence before graduating them to the generally more public social channels. Word of caution: most users who reach out via social media for support expect a response within 60 minutes.

Voice

Even with post-COVID forced digital acceleration, one study reports a preference for voice as high as 71% compared to other channels. Perhaps this is a result of older customers’ preference for in-person or assisted service (whereas younger generations prefer self-service). In any case, this should be no surprise as 56% of customers surveyed reported frustration with IVRs prior to speaking with a live agent. Stay alert contact centers! The experience on your IVR/IVA is more important than you think and could make or break your voyage to a better customer experience.

Artificial Intelligence

“Roughly one third” of American companies surveyed in a study May 2021 are using some degree of AI for consumer experience initiatives. The possibilities and promises of increased self-service and customer satisfaction, reduced inquiry handle-times, trend forecasting, agent assist, next best action and many opportunities are examples of the hopes and dreams for overall customer loyalty and revenue potential. As you consider how to implement or scale an AI solution, be mindful of the differences between static analytical models, natural language understanding, robotic process automation, and true artificial intelligence.

Email

For most businesses email was a low friction, self-service channel easy to add to the multi-channel support model, but as organizations pivoted to omnichannel support models with better-integrated and more real-time digital solutions, email declined in satisfaction and popularity - and is predicted to continue to decline as mobile-first messaging adoption increases. In a survey conducted in October 2021, as few as 15% of American respondents indicated email was the preferred channel for customer support.

Messaging

With a particularly sharp uptake during the challenges of COVID-19 pandemic lockdowns businesses adapted by implementing direct messaging for support and marketing motions to stay in closer contact with their customers. One study reports an increase of 62% in companies using WhatsApp for customer service inquiries from the previous year.

Selecting The Right Customer Service Channels

Regardless of the overall channel adoption statistics above, selecting the proper customer service channel mix for your specific business to deliver the best customer experience should be the primary driver. Look for friction points, add new channels, eliminate extra steps, add touch points along the customer journey to share transparently and engage with your customers in a friendly way.

Below are just a few examples and the steps you can take to see immediate improvements in your customer experience feedback:

  • How would you feel? Consider how the customer feels when attempting to reach you for various reasons. Next, go and listen to every branch of your own IVR and consider whether your automation matches the customer’s need. Should you route priority customers differently than those calling for hours and location? Can you easily automate order status inquiries in your IVR to free up staff to handle higher cognitive inquiries?
  • Proper channels in place? If you are only communicating by phone and email, consider adding live chat. This channel can have a direct impact on your top-line revenue as many customers - in an e-commerce setting - use chat when they are further down the sales funnel and may have a clarifying question or two prior to checkout.
  • Monitor and adjust! You can’t improve what you don’t measure. What is the traffic volume on each of your support channels? Can customers (or your agents) easily pivot from chat to voice if the interaction escalates in customer frustration? Are you receiving an overwhelming number of emails because it is too difficult to reach you on the phone, or your phone system is poorly configured to handle the volume of calls?

Conclusion

Customer service trends indicate that the leading differentiator is less about unit price or product quality and more about service level experience. From a customer loyalty or NPS perspective, the emotional intelligence, tactful questions, and benefit of the doubt offered by agents to customers arrive at a sum greater than its parts. What will you be known for? The channels you offer and the quality of service delivered via those channels will set you apart from your competition!

Jul 15, 2022
5 mins

6 Ways to Use Contact Center Analytics to Improve Operations

Contact Center analytics uses technology to generate actionable insights from raw data. Here are 6 ways to use contact center analytics & reporting to improve operations.

Contact Center

What is contact center analytics?

A single customer service conversation can yield a seemingly infinite amount of information about both your consumers and customer service agents, and contact center analytics provide the method behind the madness to make sense of all that information.

Contact center analytics use technology to generate actionable insights from raw data—data which allows B2C teams to identify patterns in their customer service data and pinpoint potential product issues or contact center optimizations.

How to use contact center analytics to improve operations

The true power of contact center analytics lies in its ability to dramatically improve your team’s operations. This data is only as potent as it’s application, however, which begs the question: how do I put contact center analytics to work in my organization?

Get a holistic view of contact center key metrics at a glance

Just like a beautiful painting, it’s a lot easier to understand the nuance in the finer details once you’ve seen the whole picture. Sometimes, the best way to get a feel for how your agents are performing is by looking at your contact center from a bird’s eye view.

Contact center reporting and analytics offer a unique opportunity to look at the bigger picture, identifying common trends among support tickets. This could include evaluation of average handle time, first call resolution time, call / support abandonment rate, and then zooming in on individual metrics to identify outliers in each.

Monitoring performance & identifying training needs

Call center analytics can provide you the boost that you need to level up your agents and optimize agent performance by monitoring service and identifying training needs.

By analyzing your contact center data and reflecting on customer sentiments, you can keep tabs on how your customer service reps are performing and identify any areas where additional training in product or platform knowledge would benefit your service team.

Actionable customer service insights across all channels

Preferred methods of customer service can vary significantly from consumer base to consumer base. Are your customers trying to reach you via your social media channels? Is your consumer base largely made up of millennials, who on average prefer digital service channels over phone ?

From common customer demographics to volume patterns in your support requests across channels, B2C teams can leverage contact center analytics to stay ahead of the specific needs of their brand’s consumers, allowing them to better meet customers where they are.

Automate the customer feedback process

With the right tools, B2C teams are capable of automating the customer feedback process, allowing them to glean further insights into how consumers are feeling after interacting with their customer service representatives.

Frequently asking customers the right questions and analyzing their answers provides another valuable data point to include in your team’s contact center analytics. Identify common trends among customer feedback to optimize their support experience, and you just might create a lasting customer relationship.

Generate reports for customer support teams

Call center analytics and call center reports go hand-in-hand—while distinct from one another, they’re nearly inseparable in how they’re discussed by the industry at large. In the right hands, these two things work together harmoniously to provide a continuous cycle of improvement for data-driven support teams.

Essential metrics reports track relevant current and historical data, so you can identify trends over time. From customer satisfaction to agent productivity, the right contact center solution should provide reporting capabilities that enhance your ability to measure what matters most and provide a 360 degree view of a customer’s past and present needs.

Help contact center managers with resource allocation

Remember when we said it’s important to know your demographics, and how they like to be supported? Contact center reporting and analytics can act as a cheat code for your team to know where they need to be, when they need to be there, and allow you to tailor your team’s hours, channels, and skillsets to the support needs of your consumer base.

A modern contact center should provide visibility into the most demanding support needs of your organization by providing real-time data on your team’s activity and performance, allowing you to shift resources accordingly.

Using contact center analytics to improve customer experience

With more options for the consumer to choose from than ever before, it’s becoming increasingly difficult to separate yourself from your competition. The importance of differentiation through exceptional customer service cannot be overstated, and contact center analytics allow you to do exactly that.

Every support conversation is an opportunity to refine your customer service offering through effective customer communication, evaluation of common trends in your customer feedback, and then taking action to reduce customer friction.

Leverage built-in contact center analytics with Contacto

PlivoCX Service is a cloud contact center software for B2C teams built with customer and agent satisfaction in mind. With Contacto, agent teams are supported by powerful reporting and analytics functionality, helpful automations, a unified desktop, and an omnichannel experienceto exceed consumer needs and create happy customers and agents alike.

If you’re looking to keep up with the demands of the new era of support operations, we’re here to help.

Book a demo with our sales team, and we’ll help you find the right solution for your team’s needs.

Jul 8, 2022
5 mins

15 Survey Questions to Measure Customer Satisfaction

Customer satisfaction surveys help businesses to evaluate their performance in serving their customers. Find the best CSAT survey questions here!

Customer Experience
Customer Satisfaction

15 Survey Questions to Measure Customer Satisfaction

With the incredible number of products for consumers to choose from, creating customer satisfaction and customer loyalty has never been more important for B2C businesses.

One of the best ways to measure how your customers are feeling is through the use of a customer satisfaction survey, or CSAT survey for short.

What is a Customer Satisfaction Survey?

As the name implies, a customer satisfaction survey (or CSAT survey for short) is an invaluable way for businesses to measure how satisfied their users are with the products or services that have been provided, while gaining insights into any points of friction that said users may experience.

These surveys are an essential piece of the puzzle when it comes to remaining relevant and competitive in a world where the customer is king.

Importance of Customer Satisfaction Surveys

Did you know that the acquisition cost of new customers is nearly 5 times more expensive than the cost of retaining an existing customer? Or that 1 in 3 customers will leave a business they love after a single bad experience? Gathering and understanding customer feedback is an essential ingredient when it comes to growing your business and building a loyal customer base.

Customer satisfaction surveys allow businesses to do exactly that—by understanding the hurdles that your customers have faced when it comes to your product or service, you are able to reduce friction and create repeat customers.

Different Types of Customer Satisfaction Surveys

Customer satisfaction surveys can be broken up into four main categories: Customer Satisfaction Score (CSAT), Net Promoter Score (NPS), Product-Market Fit (PMF), and Customer Effort Score (CES). Let’s take a moment to review each of these different types of surveys, and when your organization might want to utilize them.

Customer Satisfaction Score (CSAT)

CSAT surveys provide a scaled measurement of a customer’s satisfaction and/or experience with your team or product.

You should utilize CSAT surveys at different touchpoints in your customer’s journey with your business, such as after a purchase or a support request’s completion, to understand their overall satisfaction with their experience.

Net Promoter Score (NPS)

NPS surveys ask customers to provide answers to questions on a scale of 0-10 to determine a refined customer loyalty score on a scale of -100 to 100.

This is achieved by evaluating numerical responses tied to customer satisfaction and categorizing them into three groups:

  • Detractors (0-6)
  • Passive (7-8)
  • Promoter (9-10)

From here, simply add the submitted scores to the following formula to find your NPS score:

(% of Promoter scores) – (% of Detractor scores) = Overall NPS score

This type of survey is best utilized by mature products and teams looking to collect specific feedback that can be incorporated into product or service changes intended to enhance the overall customer experience.

Product-Market Fit (PMF)

A PMF survey is a customer satisfaction survey that provides an indication of whether or not your product has achieved product-market fit or not by asking users how they would feel if they could no longer use your product on a scale of “not disappointed” to “very disappointed”.

This type of survey is commonly used by newer products that are not yet far enough along to utilize an NPS survey.

Customer Effort Score (CES)

This type of survey measures the perceived effort required from the user to accomplish an action with regards to your product or service.

You will commonly find this type of survey used to gain an understanding of how your company might reduce customer friction by removing obstacles they have experienced when utilizing your product or service.

Best Customer Satisfaction Survey Questions

Now that we’ve covered some of the different types of customer satisfaction surveys you might use, let’s talk about some of the best CSAT survey questions you might include when seeking feedback from your users, broken down by category.

Customer satisfaction questions specific to agents

The questions covered in this category can be used to measure how satisfied your customers are with the assistance they have received from your customer support team.

  1. Were we able to resolve your questions or concerns with our product?
  2. Were we able to resolve your questions or concerns in a timely manner?
  3. How much effort were you required to put into finding a resolution for your problem?
  4. How did we compare to your expectations?
  5. How responsive have we been to your questions or concerns?

The responses you receive to these CSAT survey questions will allow your support team to improve upon future customer interactions.

Customer satisfaction questions specific to service channels

The CSAT survey questions included here can be used to measure how well you accommodate users requesting support via a specific service channel.

  1. What is your preferred channel to receive customer support through?
  2. Was this your first time receiving support via [service channel]?
  3. How intuitive was your service experience through [service channel]?
  4. What other channels have you enjoyed receiving support through?
  5. What could we have done differently to enhance your customer experience on this channel?

By evaluating the responses you receive for the above customer satisfaction survey questions, you can determine which service channels your customers most prefer and allocate additional time, training, agents, and resources towards them.

Customer satisfaction questions specific to the product or service

The below survey questions can be used to evaluate your customer’s satisfaction with your product or service.

  1. How satisfied are you with our product / service?
  2. How likely are you to recommend our product / service to a friend or colleague?
  3. How well does our product meet your needs?
  4. If you could recommend one improvement to our product / service, what would it be?
  5. How would you rate the value versus price of our product?

By evaluating the responses your customers leave about your product or service, you can evaluate which features your users care most about to gain valuable insight into your target audience’s preferences.

Best Practices: Keeping in mind the objective and length of the survey

When creating a customer satisfaction survey to share with your users, it’s important to keep in mind both the specific objective of the survey and the length of the survey.

Most people don’t enjoy filling out surveys. People do, however, respond well when they know that their contribution can make a difference. By having a clearly defined objective in mind when creating your CSAT survey, you can decide which questions are most important to ask, exclude unnecessary filler, and encourage user participation all while respecting your customer’s time.

How PlivoCX helps teams to enhance customer service

PlivoCX is cloud contact center software for B2C teams built with customer and agent satisfaction in mind. With Contacto, agent teams are supported by helpful automations, a unified desktop, and an omnichannel experience to exceed consumer needs and create happy customers and agents alike.

If you’re looking to keep up with the demands of the new era of support operations, we’re here to help.

Book a demo with our sales team, and we’ll help you find the right solution for your team’s needs.

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