Test before launch
Simulate
Auto-generate scenarios & run calls
Evaluate
Metrics & transcript analysis
Optimize
AI-rewritten prompt improvements
Monitor in production
Monitor
Live production call observability
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IndustriesInsurance

Voice AI testing for insurance agents

Simulate thousands of policyholder calls and score every one for verification, complete FNOL capture, and coverage answers that never promise a payout.

No credit card · 200 free credits

Works withVapiRetellLiveKitPipecatElevenLabsOpenAI

Simulate

Simulate the policyholder calls your agent handles

Paste your agent prompt and RubricHQ generates happy paths, edge cases, and adversarial calls for each workflow — then runs them as real voice calls.

First notice of loss

Capturing what happened, when, where, and who was involved, from callers who are often shaken and out of order.

  • Caller reports an accident from the roadside
  • Policyholder gives the loss date, then corrects it
  • Third party calls to report a claim
  • Caller asks whether the claim will be paid

Policy and coverage questions

Deductibles, coverage limits, and billing, answered only for the verified policyholder and only from what the policy says.

  • Caller asks if flood damage is covered
  • Named driver asks about the policy owner's billing
  • Policyholder can't find their policy number
  • Caller wants to add a vehicle mid-term

Quotes and renewals

New quotes and renewal questions, with the agent collecting the right details and not overselling.

  • Renewal premium went up and the caller wants to cancel
  • Prospect compares the quote to a competitor's
  • Caller gives incomplete driver history
  • Caller asks for a discount the agent can't approve

Outcome metrics

Measure what success means in insurance

Every call gets scored, so these become rates you can track across every test batch and every production call.

Resolution rate

Share of calls where the policyholder's request was fully handled.

Verification pass rate

Policyholders verified before any policy or claim detail is shared.

FNOL completion rate

Claims opened with every required loss detail captured on the first call.

Containment rate

Calls completed without a transfer to a licensed agent.

Evaluate

What RubricHQ checks on every call

Each simulated or production call is scored with code-as-judge rules, LLM-as-judge metrics, and audio metrics — so a failure shows up as a failed metric, not a policyholder complaint.

Verification and policy details

Did the agent verify the caller before sharing policy or claim details, and only with the person entitled to them?

  • Verification completed before any policy detail is spoken
  • No claim status shared with a third party
  • Verification method recorded for every call

Coverage and claim accuracy

Agents shouldn't promise payouts or invent coverage. RubricHQ flags the calls where yours did.

  • No promised claim outcomes or payout amounts
  • Coverage answers stay within the policy
  • FNOL details captured completely
  • Adjuster callbacks scheduled for the right time

Real caller conditions

Claimants call from the roadside, the car, and damaged homes. Test for them before launch.

  • Distressed and hands-free callers
  • Background noise and dropped audio
  • Latency, dead-air, and interruptions measured per turn

Metrics to score every insurance call

Ready to run from the metric gallery

[General] Identity Verification Before Sensitive Disclosure[General] Identity Verification Method Used[General] No Misrepresentation or False Claims[General] Primary Issue Resolution[General] Agent Empathy & Tone[General] Appointment / Scheduling Accuracy

Custom metrics you can add

+FNOL required fields captured+No payout or coverage promises+Injury reports escalated to a human
How evaluation works →

Callers to test against

Personas from the built-in library, with multi-language support.

AWAnxious WorrierDHDriving Hands-FreeFCFrustrated CustomerCSConfused SeniorNCNoisy Cafe Caller
How simulation works →

From prompt to production in one platform

  1. 01

    Simulate

    Auto-generate scenarios from your prompt and run them as concurrent voice calls.

  2. 02

    Evaluate

    Score every call with code, LLM-as-judge, and audio metrics.

  3. 03

    Optimize

    Diagnose failures and prove prompt fixes before you ship.

  4. 04

    Monitor

    Score live production calls and get alerted in Slack or email when checks fail.

Insurance voice AI testing FAQ

Can RubricHQ check that FNOL calls capture everything we need?+

Yes. Add a custom metric listing your required fields — loss date, location, parties involved, injuries — and every simulated and production call is scored against it.

Can it catch an agent promising a claim will be paid?+

Yes. A prebuilt metric flags misrepresentation and false claims, and scenarios include callers who push for a payout answer so you can see how the agent holds the line.

Is RubricHQ SOC 2 certified?+

No. RubricHQ does not currently hold a SOC 2 report. We recommend testing with synthetic policyholder data, which is how simulations work by default — the simulated callers use made-up identities and policy numbers.

Which voice platforms does it work with?+

RubricHQ connects to agents built on Vapi, Retell, LiveKit, and Pipecat, and can call any agent with a phone number. Production calls from other platforms can be sent in through the API for scoring.

Can it simulate stressed or noisy claim callers?+

Yes. The persona library includes anxious, frustrated, hands-free driving, and noisy-background callers, and simulations can run in multiple languages.

What happens when a call fails?+

RubricHQ diagnoses why the call failed and suggests a prompt rewrite, which you can push straight back to a Vapi or Retell agent and re-test.

Test your insurance voice agent today

$0 to start — 200 free credits, no credit card. Connect your agent and run your first batch of test calls in minutes.

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