Best AI Tools for Insurance Claims & Policy Renewals (2026)

The insurance industry is quickly moving toward AI-led automation. According to Stratistics MRC data, the global AI in insurance market is valued at $13.5 billion in 2026 and is expected to reach $154.4 billion by 2034, growing at a CAGR of 35.7%. Claims processing, fraud detection, risk assessment, and customer service are some of the key areas driving that adoption.

For insurance teams, claims and policy renewals still involve a lot of repetitive work: reviewing documents, collecting missing information, following up with policyholders, checking claim details, spotting potential fraud, sending renewal reminders, and escalating exceptions to the right person. When volumes increase, these manual steps can quickly slow teams down. AI tools can automate many of these workflows while helping insurers process claims faster and stay on top of renewals.

In this guide, we compare 8 AI tools to see which are best suited for insurance claims automation and policy renewal workflows, based on their capabilities, compliance, integrations, scalability, and pricing.

TL;DR

• Plivo: Best overall for insurers that want AI calling, owned telephony, enterprise compliance, global reach, and predictable pricing in one stack.

• Retell AI: Best for teams that want to get claims follow-up and renewal workflows live quickly without building the full voice stack themselves.

• Bland AI: Best for high-volume outbound campaigns such as policy renewal reminders and payment follow-ups.

• Synthflow AI: Best for insurance teams that want a no-code setup for repetitive customer outreach workflows.

• Vapi: Best for developer-led insurers that want more control over the LLM, voice, transcription, and telephony providers they use.

• ElevenLabs: Best when natural-sounding and multilingual customer conversations are the priority.

• Twilio: Best for larger insurers already running customer communications on Twilio infrastructure.

• LiveKit: Best for engineering teams building highly customized real-time voice or multimodal insurance experiences.

If you want one platform that brings AI calling, telephony, compliance, multilingual support, and predictable per-minute pricing together, Plivo is the option we would shortlist first.

What Actually Matters When Choosing AI Tools for Insurance Claims & Policy Renewals

A lot of AI tools look capable on paper. The differences become clearer once you're dealing with real claim volumes, sensitive policyholder data, renewal deadlines, and integrations with existing insurance systems.

Here are the areas worth paying attention to.

1. Claims Workflow Automation

The platform should be able to support more than one step of the claims process. Look for capabilities around claim intake, follow-ups, information collection, routing, status updates, and escalation to human teams.

2. Policy Renewal Automation

For renewals, the tool should help identify upcoming policies, trigger reminders, follow up with customers, collect missing information, and move interested policyholders to the next step.

3. Compliance and Data Security

Insurance workflows often involve personally identifiable information, financial data, and in some cases health-related information. Certifications such as SOC 2, HIPAA, GDPR, and PCI DSS can matter depending on your market and use case.

4. Insurance System Integrations

The AI tool should work with the systems your team already uses, including policy administration platforms, claims-management software, CRM, payment systems, and internal APIs.

5. Customer Communication

Claims and renewals both involve a lot of customer follow-up. Platforms that support channels such as voice, SMS, WhatsApp, chat, or email can make it easier to automate outreach without creating disconnected workflows.

6. Human Handoffs and Exception Handling

Not every claim or renewal conversation should stay automated. Complex claims, disputes, fraud concerns, and unusual policy cases still need human judgment. The platform should make those handoffs smooth and preserve the context.

7. Scalability and Pricing

The headline price does not always tell you what the platform will cost at scale. Look at the total cost once usage, telephony, AI models, integrations, and other add-ons are included.

Comparison Table: 8 AI Tools for Insurance Claims Automation & Policy Renewals

1. Plivo

Plivo is a strong fit for insurance teams that want AI calling and telephony in the same stack. That can be useful for workflows like claims follow-ups, missing document reminders, renewal outreach, payment reminders, and policyholder support, where reliability and consistent customer communication matter.

It supports both no-code agent building and developer APIs, so operations teams can manage common workflows without depending on engineering for every change, while technical teams can still build deeper integrations with claims, CRM, or policy administration systems.

Key strengths

• Owned telephony infrastructure: Plivo combines the AI agent and telephony layers, which means fewer external systems to manage for insurance calling workflows.

• Strong compliance coverage: Plivo supports SOC 2, HIPAA, GDPR, PCI DSS, and STAR compliance, making it relevant for insurance teams handling sensitive customer or health-related information.

• Low-latency conversations: Plivo reports sub-500 ms voice latency, which helps keep claims and renewal conversations feeling more natural.

• Global and multilingual support: With support for 50+ languages and connectivity across 190+ countries, it can work well for insurers serving customers across multiple regions.

• No-code + APIs: Operations teams can build and adjust agents visually, while developers still have APIs for more complex integrations.

• Predictable pricing: Telephony, voice models, and transcription are bundled into the AI agent rate, which makes costs easier to estimate as call volumes increase.

Limitations

Plivo makes the most sense if you want a more integrated setup. If your engineering team prefers choosing separate providers for telephony, speech, models, and orchestration, platforms like Vapi or LiveKit may offer more flexibility.

Some enterprise capabilities, including broader international coverage, higher concurrency, and certain compliance features, may also require an enterprise plan.

Pricing

Plivo Voice AI Agents cost $0.04 per minute, with telephony, voice models, and transcription included in the rate.

2. Vapi

Vapi is a good fit for insurance companies that want more control over how their AI calling stack is built. Instead of bundling everything together, it lets developers choose their own speech-to-text provider, LLM, voice provider, and telephony setup.

That flexibility can be useful for insurers building custom claims follow-ups, renewal reminders, or policyholder support workflows where different parts of the stack need to be optimized for cost, latency, compliance, or voice quality.

Key strengths

• Highly customizable: Teams can choose and swap LLMs, transcription providers, voices, and telephony providers based on their requirements.

• Good for developer-led insurance teams: Vapi is API-first, giving engineering teams more control over call logic, integrations, and backend workflows.

• Built to scale: Vapi says its infrastructure can support 1,000+ concurrent sessions, which can be useful for large renewal or customer outreach campaigns.

• Provider flexibility: Teams can work with providers such as OpenAI, Anthropic, ElevenLabs, Deepgram, and Azure.

• Compliance options: Vapi supports SOC 2 Type II and GDPR, with HIPAA and PCI options available for regulated workloads.

Limitations

The flexibility also means there are more moving parts to manage. Telephony, transcription, LLMs, and voice providers can all be separate, which makes setup and pricing harder to compare upfront.

Vapi is also more naturally suited to engineering-led teams. If your insurance operations team wants to build and update workflows without much developer involvement, a more integrated or no-code platform may be easier to manage.

Pricing

Vapi charges $0.05 per minute as a platform fee, with a realistic all-in cost of roughly $0.13 to $0.33 per minute depending on the telephony, transcription, LLM, and voice providers you choose.

3. Retell AI

Retell AI is a good fit for insurance teams that want to get AI calling workflows live without building the entire voice stack themselves. It brings agent building, inbound and outbound calling, testing, monitoring, transfers, and post-call analysis into one platform.

For insurers, that can work well for claims follow-ups, missing document reminders, renewal outreach, payment reminders, and other workflows where you need structured customer conversations without a heavy engineering setup.

Key strengths

• Faster deployment: Agent building, testing, monitoring, and post-call analysis are available within the same platform, reducing the amount of infrastructure teams need to piece together.

• Useful for insurance follow-ups: Retell supports inbound and outbound calling, human transfers, voicemail handling, and monitoring, which can be useful for claims and renewal workflows.

• Strong post-call automation: It can generate call summaries, sentiment analysis, call status, and custom extracted data after a conversation, helping teams track outcomes and trigger the next step.

• Flexible telephony: Teams can use Retell's telephony layer or connect existing infrastructure through SIP and providers such as Twilio.

• Compliance coverage: Retell lists HIPAA and GDPR compliance along with SOC 2 Type I and Type II certifications.

Limitations

Retell does not own the full telephony stack end to end. Depending on how you configure it, calls may still rely on external carrier infrastructure, which adds another layer to manage.

Pricing can also vary depending on the voice, model, telephony setup, and other components you choose, so the lowest advertised rate may not reflect what you actually pay at scale.

Pricing

Retell AI costs $0.07 to $0.31 per minute for AI Voice Agents, depending on the voice, model, telephony setup, and other components selected.

4. Bland AI

Bland AI is built for high-volume inbound and outbound calling, which makes it especially relevant for insurance teams running large renewal, payment reminder, or claims follow-up campaigns.

For insurers, its strongest use case is repetitive outbound communication at scale, especially when you need to reach a large number of policyholders without adding more agents to the team.

Key strengths

• Built for high call volumes: Bland is designed for large-scale inbound and outbound deployments, which can work well for renewal reminders and claims follow-ups.

• Own AI infrastructure: Bland says it runs its own voice, language, and speech models, reducing reliance on external AI providers.

• Strong compliance coverage: It lists SOC 2 Type II, HIPAA, and PCI DSS compliance, which is relevant for insurance teams handling sensitive customer information.

• Useful calling features: Live transfers, warm transfers, voicemail detection, multilingual conversations, and outbound campaigns can support a wide range of insurance outreach workflows.

• Flexible telephony setup: Enterprise teams can connect their own SIP infrastructure or existing telephony systems.

Limitations

Bland is more enterprise and API-focused than plug-and-play. Insurance teams without strong engineering support may find it heavier to configure and manage than a no-code platform.

Telephony can also remain a separate layer depending on the setup, so overall costs and infrastructure can still depend on external carriers or SIP providers.

Pricing

Bland AI costs $0.14 per minute, with final costs varying depending on the plan, telephony setup, transfers, and enterprise requirements.

5. Synthflow AI

Synthflow AI is a no-code voice automation platform, which makes it a good fit for insurance teams that want to build claims follow-ups or policy renewal workflows without depending heavily on developers.

It supports inbound and outbound calling, visual workflows, integrations, and white-label deployments, so operations teams can manage repetitive customer communication more directly.

Key strengths

• Strong no-code builder: Teams can create multi-step workflows visually, including customer lookups, routing, follow-ups, and post-call actions.

• Useful for claims and renewal workflows: The visual builder can support document reminders, claim status follow-ups, renewal outreach, and other structured conversations.

• Broad integrations: Synthflow can connect with CRMs, scheduling tools, databases, ticketing systems, and external APIs.

• Compliance coverage: Synthflow lists SOC 2, HIPAA, and GDPR compliance, which is relevant for insurance workflows involving sensitive customer data.

• White-label support: This can be useful for agencies or service providers offering AI calling solutions to insurance clients.

Limitations

Synthflow does not own the telephony layer end to end, so calls can still depend on external carriers or SIP providers. That means latency and overall costs can vary depending on the setup.

It also gives developers less granular control than platforms like Vapi or LiveKit, which may matter for insurers building highly customized workflows.

Pricing

Synthflow uses a pay-as-you-go pricing model, with total costs depending on call volume, telephony, selected AI models, and the features used.

6. ElevenLabs

ElevenLabs is best known for natural-sounding AI voices, which makes it a strong option for insurance teams that care about how customer conversations actually feel. That can be especially useful for claims follow-ups, renewal reminders, and other policyholder interactions where a robotic voice could hurt the experience.

It also supports multilingual agents, which makes it useful for insurers serving customers across different regions and languages.

Key strengths

• Natural-sounding voices: ElevenLabs focuses heavily on voice quality, which can make claims and renewal conversations feel more human.

• Multilingual support: Useful for insurers serving policyholders across multiple markets and languages.

• Flexible telephony setup: ElevenAgents can connect with existing telephony providers such as Twilio and also supports SIP-based setups.

• Strong compliance coverage: ElevenLabs lists SOC 2 Type II, HIPAA, GDPR, PCI DSS, and several ISO certifications.

• Built-in agent tools: The platform includes workflow building, knowledge bases, multilingual agents, and configurable concurrency.

Limitations

ElevenLabs does not own the full telephony stack, so telephony costs and performance still depend partly on the provider you connect.

It is also more voice-first than insurance-workflow-first. If you want a more integrated setup for claims or renewal operations, you may still need additional systems around it.

Pricing

ElevenAgents starts at $6 per month, which typically includes access to basic voice agent creation, limited usage minutes, core integrations, and standard voice models for testing and small-scale deployments.

7. Twilio

Twilio is a strong fit for insurance companies that already use its communications infrastructure. Rather than giving you a fully packaged AI calling product, Twilio provides the telephony and orchestration layer while letting your team connect the LLM, business logic, and internal systems you already use.

For larger insurers with in-house engineering teams, that can work well for claims follow-ups, policy renewal reminders, payment notifications, and other customer communication workflows.

Key strengths

• Own telephony infrastructure: Twilio operates the underlying voice network, number provisioning, routing, and SIP infrastructure, so you do not need to add a separate telephony provider.

• Low-latency conversations: ConversationRelay is built for real-time voice interactions, which helps reduce awkward delays during policyholder conversations.

• Bring your own LLM: Teams can connect their preferred language model instead of being locked into one provider.

• Strong compliance coverage: Twilio supports SOC 2, HIPAA, GDPR, PCI DSS, and multiple ISO certifications, which is useful for insurers handling sensitive customer data.

• Broader communications stack: Voice can sit alongside SMS, WhatsApp, chat, and other Twilio products, making it easier to manage claims and renewal outreach across multiple channels.

Limitations

Twilio takes more technical setup than some of the newer AI calling platforms. Your team still needs to connect an LLM, build the agent logic, and manage the integrations, so it is generally a better fit for insurers with engineering resources.

Pricing can also be harder to estimate because telephony, AI usage, phone numbers, and other communication services may all be billed separately.

Pricing

Twilio uses a pay-as-you-go pricing model, with final costs depending on the voice, telephony, AI, and other services used.

8. LiveKit

LiveKit is a developer-first platform for building real-time AI applications across voice, video, and other multimodal experiences. For insurance companies, it makes the most sense when you want to build highly customized claims or policy renewal workflows rather than use a ready-made calling platform.

That flexibility is useful if your team wants tighter control over how the AI agent connects with internal systems, handles customer conversations, or moves between different channels.

Key strengths

• Built for real-time AI: LiveKit is designed around low-latency audio and video, helping customer conversations feel more responsive.

• Flexible AI stack: Developers can choose their preferred speech-to-text, LLM, and text-to-speech providers rather than being tied to one stack.

• Native telephony support: LiveKit supports inbound and outbound calling through SIP and can also provide phone numbers.

• Good for custom insurance workflows: Engineering teams can build their own claims follow-ups, renewal reminders, escalation logic, and integrations around the agent.

• Compliance support: LiveKit Cloud lists SOC 2 Type II, GDPR, CCPA, and HIPAA support.

• Multimodal capabilities: It is especially useful if your insurance workflow may eventually go beyond phone calls into video or other real-time customer experiences.

Limitations

LiveKit requires more engineering work than most platforms on this list. You are still building much of the application yourself, so it may not be the best fit for insurance operations teams that simply want to configure a workflow and launch it.

Costs can also come from several different components, including agent sessions, telephony, speech models, LLMs, and text-to-speech, which can make the final cost harder to estimate upfront.

Pricing

LiveKit starts at $50 per month, with additional usage costs depending on agent sessions, telephony, and the AI services used.

Choosing the Right AI Tool for Your Insurance Use Case

The right platform depends on what part of the insurance workflow you are trying to improve. Claims follow-ups, renewals, customer support, and highly customized workflows all put different demands on the technology.

• If claims follow-ups are the priority: For claims, you want reliable calling, good integrations, human handoffs, and the ability to handle sensitive customer information. Plivo is a strong fit if you want AI calling and telephony in one stack, while Retell AI is worth considering if getting workflows live quickly matters more.

• If policy renewals are the priority: Renewals are often about reaching a lot of policyholders at the right time and following up consistently. Bland AI is useful for high-volume outbound campaigns, while Plivo stands out if you also want global calling, multilingual support, and more predictable per-minute pricing.

• If you want a no-code setup: Synthflow AI makes sense if your operations team wants to build and adjust workflows without relying heavily on developers. Plivo also offers a no-code builder while keeping APIs available when you need deeper integrations.

• If customer experience matters most: If the quality of the conversation is a big priority, ElevenLabs is worth looking at for its natural-sounding and multilingual voices. This can be useful for renewal reminders and claims follow-ups where the interaction should feel less robotic.

• If your engineering team wants more control: Vapi gives developers more freedom to choose their own LLM, voice, transcription, and telephony providers. LiveKit is a better fit if you are building highly customized voice, video, or multimodal insurance experiences.

• If you want some of that flexibility without managing as many separate providers, Plivo sits in a useful middle ground between a modular stack and a more integrated platform.

• If you already use Twilio: If your communication infrastructure is already built around Twilio, ConversationRelay is the natural place to start. If you are building from scratch, it is worth comparing the total setup and ongoing costs against a more integrated option like Plivo.

The main thing is not to choose based on the best-sounding demo. For claims and renewals, the better platform is the one that can handle customer volume, compliance, integrations, and costs once the workflow is running at scale. For insurers looking for that balance in one stack, Plivo is the platform we would shortlist first.

Looking for a More Integrated Insurance Calling Stack?

If you want to avoid stitching together separate tools for telephony, AI agents, transcription, and customer communication, Plivo is one of the stronger options to look at.

It brings AI calling and telephony into the same stack, while also supporting enterprise compliance, multilingual conversations, global connectivity, and both no-code and API-based workflows. That makes it useful for insurance teams running claims follow-ups, missing-document reminders, policy renewal campaigns, or payment notifications at scale.

With pricing at $0.04 per minute, including telephony, voice models, and transcription, it is also easier to understand what each conversation is likely to cost as volume grows.

Explore Plivo for AI voice agents

Frequently Asked Questions

What are AI tools used for in insurance claims?

AI tools can help automate repetitive parts of the claims process, including customer follow-ups, missing document reminders, claim status updates, information collection, routing, and escalation to human agents when a case needs more attention.

How can AI help with policy renewals?

AI can automate renewal reminders, follow up with policyholders, answer common questions, collect missing information, and route customers to an agent when the conversation becomes more complex.

What should insurers look for in an AI automation platform?

Focus on compliance, data security, integrations, human handoffs, customer communication, scalability, and total cost. For claims and renewals, it is also important to look at how well the platform fits into your existing policy and claims workflows.

Which AI tool is best for insurance claims automation?

There is no single best option for every insurer. Plivo is a strong all-round choice if you want AI calling, telephony, compliance, and global reach in one stack. Retell AI is a good fit for faster deployment, while Vapi and LiveKit make more sense for developer-led teams that want deeper control.

Which AI tool is best for policy renewal automation?

For high-volume renewal outreach, Bland AI is worth considering. Plivo is also a strong option if you want to combine renewal campaigns with owned telephony, multilingual support, predictable pricing, and broader customer communication capabilities.