TL;DR
- The right AI voice agent depends on the calls you want to automate: claims intake, policy servicing, renewals or new-business leads.
- ElevenLabs (ElevenAgents) leads on voice quality and gives your team the most control over how the agent is built. Enterprise suites suit large carriers that want a managed platform, and agency tools suit smaller teams that want something ready-made.
- Licensing, payment and consent rules decide what an insurance voice agent is allowed to say and do. Check them before you choose a platform.
- Shortlist two or three platforms and test them on the same recorded calls.
A storm passes through, and by mid-morning your claims line has a 40-minute wait. The policyholders on hold are stressed, some are standing in a flooded kitchen, and your adjusters are spending their time on the phone collecting the same basic details over and over.
An AI voice agent can take that first conversation: record the loss, check the policy, book an inspection and pass the claim to a person with everything already captured. The hard part is choosing which AI voice agent to trust with it. Most "best of" lists are written by a vendor that ranks itself first. This one isn't.
How We Evaluated These AI Voice Agents
We looked at six things that matter to an insurance technology team:
| Criterion | Why it matters in insurance |
|---|---|
| Voice quality | A policyholder reporting a loss is often upset. A flat, robotic voice makes that worse. |
| Real-time speed | Pauses make callers talk over the agent, which breaks claims intake. |
| Integration | The agent needs to read and write to your policy, claims and agency systems. |
| Compliance controls | Recording, data retention, payment handling and audit trails. |
| Deployment model | Self-serve platform, managed enterprise rollout or ready-made product. |
| Build effort | How much of your own engineering time it takes to get to production. |
We didn't run a scored benchmark across all eight, and we haven't attached scores. Use the criteria to build your own shortlist, then test.
Insurance Calls an AI Voice Agent Can Handle
Not every call carries the same risk. Start where mistakes are cheap and volume is high.
| Call type | What the agent does | Risk level |
|---|---|---|
| Claim status | Looks up the claim and reads back the stage and next step | Low |
| Certificate of insurance requests | Captures details and triggers the certificate | Low |
| Billing questions and payment reminders | Explains the balance, offers a secure payment link | Medium |
| Policy changes (address, vehicle, driver) | Collects details and creates a change request | Medium |
| First notice of loss (FNOL) | Records the loss, checks coverage basics, books the next step | Medium to high |
| New-business quote intake | Collects rating details and passes to a licensed agent | Medium |
| Renewal and retention calls | Reminds, answers basic questions, routes objections | Medium |
| Coverage advice or claim decisions | Should stay with licensed or authorized staff | High |
For a wider view of where voice agents fit in support, see our guide to AI voice agent use cases for customer support.
The 8 Best AI Voice Agents for Insurance
1. ElevenLabs (ElevenAgents): Best for voice quality and teams that want full control
What it is. ElevenAgents is ElevenLabs' platform for building voice agents. It combines speech recognition, a language model of your choice, ElevenLabs voices and turn-taking, plus workflows, knowledge bases, tool calls to your systems, Twilio and SIP telephony, batch outbound calling and automated testing.
Insurance example. A carrier builds an FNOL agent with a workflow that verifies the policyholder first, then records the date, location and type of loss, checks basic coverage through a policy-system lookup, books an inspection slot and transfers to an adjuster with a written summary.
Why it stands out. Voice quality is the clearest difference. On the Artificial Analysis Speech Arena, a blind listening leaderboard, ElevenLabs' Eleven v4 Turbo and Eleven v4 held the top two places when we checked in October 2026. ElevenLabs' models documentation lists v4 Turbo at around 100ms of latency and its models at 90+ languages. On compliance, ElevenLabs lists SOC 2 Type 2, ISO 27001, PCI DSS Level 1, HIPAA and GDPR on its Trust Center.
Limitation. It's a platform, not a ready-made insurance product. You or a partner design the conversations, connect your systems and own the testing.
Best for. Carriers, MGAs and insurtechs with an internal AI or engineering team, or a partner, who want to own the agent's design and want the most natural-sounding voice. For more on the platform, read what ElevenLabs is.
2. PolyAI: Best for large enterprises that want a managed voice program
What it is. PolyAI builds enterprise voice agents on its own dialog models, configured through its Dialog Studio and deployable across voice, SMS and web chat, according to its website.
Insurance example. A large insurer's customer service line hands PolyAI's team the call flows for billing and policy changes, and PolyAI configures and runs the agents.
Benefit. A vendor-led rollout suits organizations that want a managed program rather than building in-house. PolyAI says its agents resolve over 90% of calls without escalation, a vendor figure you should test against your own call mix.
Limitation. Less hands-on control for internal teams that want to change the agent themselves quickly.
Best for. Large insurers with high call volumes that prefer a managed partnership.
3. Parloa: Best for enterprise teams that want agent lifecycle management
What it is. Parloa describes itself as an AI agent management platform for enterprise customer service, with tools to build, test and scale voice and chat agents.
Insurance example. A carrier's contact center team uses Parloa's builder to design agents for claims intake and policy questions, then monitors and adjusts them over time.
Benefit. A strong focus on managing agents after launch, including testing and improvement.
Limitation. An enterprise platform, so it's sized and priced for larger contact centers rather than small agencies.
Best for. Enterprise carriers with an established contact center operation.
4. Cognigy: Best for insurers already invested in a NiCE contact center
What it is. NiCE Cognigy provides voice and chat AI agents for enterprise contact centers, as part of NiCE.
Insurance example. An insurer running NiCE contact center software adds Cognigy agents to handle identity verification and routine policy questions before routing to human agents.
Benefit. A natural fit if your contact center already runs on NiCE, and broad enterprise channel coverage.
Limitation. Enterprise implementation effort, and the most value comes when you're already in its ecosystem.
Best for. Large insurers that want voice AI inside an existing enterprise contact center stack.
5. Retell AI: Best for developer teams building voice workflows
What it is. Retell is a platform for building and deploying voice agents for inbound and outbound calls. Its website lists HIPAA and SOC 2 compliance.
Insurance example. An insurtech's engineering team builds an appointment-booking agent for inspections and a renewal-reminder agent on Retell.
Benefit. Developer-friendly tooling for teams that want to build quickly.
Limitation. Like any developer platform, you own conversation design, integrations and testing.
Best for. Technical teams that want a build-it-yourself voice platform.
6. Sonant AI: Best for independent agencies that want a ready-made receptionist
What it is. Sonant is an AI receptionist built specifically for insurance agencies, with native agency management system integrations, quote intake, appointment scheduling and 24/7 call answering, according to its website.
Insurance example. A property and casualty agency uses Sonant to answer after-hours calls, take quote details and book appointments with producers.
Benefit. Insurance-specific out of the box, with little build work.
Limitation. Built for agency front-desk calls, so it's less suited to custom carrier workflows like complex FNOL.
Best for. Independent agencies without an engineering team.
7. Telnyx: Best for teams that want voice AI and telephony from one provider
What it is. Telnyx offers voice AI agents on its own carrier-grade network, with sub-200ms response times, 80+ languages, SOC 2 Type II and A-level STIR/SHAKEN call attestation, according to its website.
Insurance example. A high-volume outbound renewals program uses Telnyx for both the phone numbers and the voice agents, reducing the number of vendors.
Benefit. Telephony and voice AI from one provider, which matters for outbound call reputation and reliability.
Limitation. Infrastructure-led, so expect more engineering work on conversation design than with a ready-made product.
Best for. Engineering-led teams with high call volumes and strong telephony needs.
8. Bland AI: Best for teams that want self-hosted models
What it is. Bland offers an enterprise voice AI platform for regulated calls, including insurance, using its own self-hosted models and supporting 40+ languages, according to its website.
Insurance example. An insurer that won't send call audio to third-party model providers runs outbound policy reminders on Bland.
Benefit. Less reliance on third-party model providers, which can simplify some security reviews.
Limitation. Check voice quality against your own scripts, and expect to own much of the conversation design.
Best for. Teams with strict data-handling requirements and outbound volume.
Side-by-Side Comparison
| Platform | Deployment model | Build effort | Strongest insurance fit |
|---|---|---|---|
| ElevenLabs (ElevenAgents) | Self-serve platform, partner or in-house build | Medium | FNOL, claim status, servicing, outbound reminders |
| PolyAI | Managed enterprise rollout | Low for you, vendor-led | High-volume servicing lines |
| Parloa | Enterprise platform | Medium | Contact center claims and servicing |
| Cognigy | Enterprise platform in the NiCE ecosystem | Medium to high | Large contact centers on NiCE |
| Retell AI | Developer platform | Medium | Bookings, reminders, custom workflows |
| Sonant AI | Ready-made agency product | Low | Agency front desk, quote intake |
| Telnyx | Telephony and voice AI platform | Medium to high | High-volume outbound |
| Bland AI | Enterprise platform with self-hosted models | Medium | Regulated outbound calls |
Build effort is our assessment of how much your own team typically does, not a vendor rating. Pricing changes often, so compare current rates on each vendor's site.
Compliance Checklist for an Insurance Voice Agent
Most buyers check security certifications and stop there. In insurance, the rules about what the agent says matter just as much. This is general information, not legal advice.
Licensing. Selling, soliciting or giving coverage advice is generally restricted to licensed insurance producers. Design the agent to collect information and hand advice and sales conversations to licensed staff. Check the rules in each state or country you operate in.
Payments. If the agent takes card payments, the PCI Security Standards Council's PCI DSS requirements apply. Sending a secure payment link by text keeps card numbers out of the conversation and out of your call recordings.
Outbound consent. In the US, the FCC's February 2024 Declaratory Ruling confirmed that AI-generated voices count as artificial voices under the Telephone Consumer Protection Act, so outbound AI calls need prior express consent. Our guide to AI outbound calling covers the rules in more detail.
AI disclosure. In the EU, Article 50 of the AI Act requires telling people they're interacting with an AI system from August 2, 2026. It's sensible practice everywhere.
Health and personal data. Life, health and Medicare-related lines may carry health data. Confirm the platform signs a Business Associate Agreement where HIPAA applies, and set retention periods for recordings and transcripts.
Audit trail. Keep transcripts, decisions and transfers logged so claims and compliance teams can review what the agent said.
Build or Buy: Choosing the Right Type of Platform
The eight platforms fall into three groups, and choosing the group first narrows the shortlist quickly.
Build-your-own platforms (ElevenLabs, Retell AI, Telnyx, Bland AI) give you the most control over conversation design, voice and integrations. They suit carriers and insurtechs with AI or engineering teams, or with an implementation partner. The tradeoff is that you own testing and maintenance. Our guide to ElevenAgents implementation covers what that build involves.
Enterprise contact center platforms (PolyAI, Parloa, Cognigy) suit large carriers that want a managed rollout or already run a major contact center stack. Expect enterprise contracts and longer procurement.
Ready-made agency products (Sonant AI) suit independent agencies that want working call coverage quickly without building anything.
Cost matters as much as capability. Compare platforms on cost per resolved call, not price per minute. Our AI call center cost comparison explains how to model it.
How to Run a Fair Pilot
Pick one call type, ideally claim status or certificate requests, and take 20 to 30 real recorded calls as test scripts. Run the same scripts on each shortlisted platform. Include a confused caller, an angry caller and someone with a strong accent or background noise.
Measure the same things on every platform: whether the agent resolved the call, when and how it transferred, response delay, and whether the information it captured was correct. Have a claims handler and a compliance reviewer listen to the recordings, not only the project team.
If you're new to how these agents work, start with what an AI voice agent is.
Frequently Asked Questions
What can an AI voice agent do for an insurance company?
An AI voice agent can answer claim status questions, take first notice of loss details, handle policy change requests, send secure payment links, book inspections and run renewal reminders. It works best on high-volume, repeatable calls and hands complex or sensitive conversations, such as coverage advice or disputed claims, to licensed or authorized staff with a summary.
Can an AI voice agent handle first notice of loss calls?
Yes, for the intake stage. An AI voice agent can verify the policyholder, record what happened, when and where, check basic coverage details and book the next step. Coverage decisions and complex or emotional claims should go to an adjuster. Design the handover so the adjuster receives every detail the caller already gave.
Is it legal for an AI voice agent to sell insurance or give coverage advice?
Generally, no. Selling, soliciting and giving coverage advice are usually restricted to licensed insurance producers. An AI voice agent can collect quote details, answer factual questions and book appointments, then transfer the caller to a licensed agent for advice or sales. Check the licensing rules in every state or country you operate in.
How should an insurance voice agent handle card payments?
The safest approach is to keep card numbers out of the conversation entirely. The agent sends a secure payment link by text or email while the caller is on the line, then confirms when the payment goes through. If the agent must take card details by voice, the platform and your setup need to meet PCI DSS requirements.
Should we build on a platform or buy an insurance-specific voice agent?
Build on a platform such as ElevenLabs if you have an AI or engineering team, or a partner, and want control over voice, workflows and integrations. Buy a ready-made product if you're an agency that wants call coverage quickly without a build. Large carriers that prefer a managed rollout often choose an enterprise contact center platform.
Next Step: Pilot ElevenAgents on One Insurance Call Type
Choose one call type, such as claim status or FNOL intake, pull 20 to 30 recorded calls, and pilot an AI voice agent on ElevenAgents against them. You'll see the voice quality, the handover and the accuracy of captured details on your own calls, not a demo.
If you want help designing that pilot, our checklist for choosing an ElevenLabs implementation partner covers what to look for, or you can book a call with our team.