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Request a free audit of your AI voice agent. Share the phone number it answers on, pick the behaviors you want tested, and get a scored report by email.
The free AI voice agent audit is a request-based testing service from TestMu AI. You submit the phone number your AI voice agent answers on and the behaviors you want checked, and the audit team places 30 or more simulated calls per behavior and emails you a scored report within two business days.
The form above is a request form, not an in-browser analyzer. Nothing is installed and no code, prompt, or API key changes hands, because the audit runs entirely from the outside against the live number your callers already dial. If you would rather score rollout risk before booking any calls, the AI Agent Risk Scorer runs instantly in your browser.
A voice agent that answers a scripted demo perfectly can still fail the calls that pay for it. The failures come from conditions a manual test call rarely reproduces. Here is what real call testing catches:
That last point is why teams re-audit rather than test once. For the wider methodology, see the TestMu AI guide to voice agent testing and our review of AI voice agent testing tools.
The request takes about five minutes and is split across three steps in the form above. Follow these steps:
Calls are placed sequentially at normal conversation volume, so the audit measures conversation quality and never concurrency. If you want to sanity check the number format before you submit it, the Phone Number Validator checks it against the international ITU-T E.164 numbering plan.
The audit covers seven core behaviors, and each one you select is exercised by 30 or more separate simulated calls rather than a single scripted run. These are the behaviors on the form:
An Other field captures behaviors unique to your call flow. For adversarial coverage of a text or tool-using agent, pair the audit with the Agent Red Team Scan, and if you are still choosing a platform, compare options with the AI Agent Comparison tool.
The report is emailed to the address you enter in step one and is written to be handed straight to the team that owns the agent. It contains three parts:
| Behavior | Result | Example finding |
|---|---|---|
| Verify Identity | 27 / 31 passed | Discloses booking details when the caller interrupts the verification prompt. |
| Handle Frustrated Callers | 24 / 31 passed | Loops the same apology script after two consecutive interruptions. |
| Stay On Topic | 30 / 31 passed | Follows one off-script probe into an unrelated refund policy answer. |
The table above illustrates the scorecard format with made up numbers. It is not live data and not a result from any real audit. Once the fixes ship, most QA teams fold the same voice scenarios into a regression suite: Kane AI authors those tests in natural language, and the TestMu AI real device cloud of 10,000+ real devices runs them on the same telephone audio path production callers use.
Any team running an AI voice agent that answers a phone number can request the audit, and the simulated caller goals are tuned to the industry you pick on the form. It is most useful in these situations:
If automating voice is still one option among several, the Business Automation Audit helps you decide what to automate first, and the AI Agent Readiness Quiz checks whether your team is set up to support one. This audit is maintained by TestMu AI (formerly LambdaTest), which runs testing infrastructure across 10,000+ real devices and 3000+ browsers.
Yes, the AI voice agent audit is free. There is no charge, no credit card, and no purchase obligation. You submit the request form, TestMu AI runs the simulated calls, and the report reaches your inbox at no cost, and nothing is billed if you decide not to continue.
The page is a request form, not an in-browser analyzer. Submitting it sends your contact details, your agent's phone number, and your selected behaviors to the TestMu AI audit team, who schedule the calls and email the finished report back to you.
Your voice agent receives 30 or more simulated calls for every behavior you select. Choosing all seven behaviors queues 210 or more calls. Calls run one at a time at normal conversation volume, so the audit never spikes your agent's traffic.
The audit report arrives within two business days of your submission. The simulated calls usually finish within one day, and the remaining time covers transcription, scoring each behavior against its rubric, and a human review pass over every failed call before the report is sent.
No code, prompts, or API keys are required. The audit is fully black box. TestMu AI needs only the phone number your agent answers on, a short description of what it does, and the behaviors you want tested. Everything else comes from the live calls.
No. Calls are placed one at a time at normal volume to measure conversation quality, not concurrency. If you need to know how your telephony stack behaves under parallel call pressure, that is a separate performance testing engagement rather than this audit.
Yes. You must own the voice agent or have explicit permission for it to receive automated test calls, and the form's authorization checkbox records that confirmation. A single verification call is placed before the full run to confirm the number reaches the agent you described.
Recordings and transcripts are used only to score your audit and to illustrate failures in your report. They are shared with you, not published or reused as training data. Reply to the report email if you want the underlying recordings deleted after delivery.
Audit simulations run in English by default, covering a wide range of accents, speaking speeds, and speech patterns. If your voice agent serves callers in another language, note it in the agent description field and the audit team will confirm whether that language is supported.
The audit supports voice agents you can reach by dialing a phone number. Web only voice widgets, in-app assistants, and agents behind authenticated softphones are not covered. If your agent can be exposed on a temporary test number, the audit can run against that.
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