Know your AI agent works before it ever talks to a customer.
Know your AI agent works before it ever talks to a customer. Our AI personas put your voice agent through thousands of real-world calls — every customer type, every scenario. The result: a scored report on compliance, tone, and accuracy.
- 3,000+
- Test scenarios per campaign
- 50+
- Performance metrics analyzed
- 100%
- Conversations scored and documented
Validate every AI Agent release with confidence.
Before rolling out a new version of your AI phone agent, run a comprehensive test campaign that measures customer experience, accuracy, compliance, latency, and more.
Our AI Agents call your IVR
Our AI voice agents run real customer scenarios — claims, billing, appointments — and call your IVR like real customers.
Every conversation is evaluated
Every call is recorded, transcribed, and scored turn by turn against the expected outcome, compliance rules, and conversation quality.
You get actionable reports
Track success rates, containment, latency, compliance, sentiment, and every other metric that matters—complete with recordings, transcripts, and recommendations.
Four metrics that decide whether your IVR is helping or hurting.
Every conversation rolls up into the same four numbers — so you can compare runs week over week without guessing.
Time to resolution
Seconds from call start to the customer's intent being handled. Tracked per scenario, with drift alerts.
Failure / containment rate
Percentage of calls that fail to resolve or escalate to a human agent — the number your CFO actually cares about.
Menu depth & misroutes
Average IVR levels traversed and wrong-path rate. Find the prompts customers can't navigate.
Speech recognition accuracy
How well your IVR understands clean, accented, and noisy speech from our agent voices.
Listen to an agent test an IVR in real time.
One scenario, one call, scored end to end. This is the raw output you'd see in your weekly report.
Sample player — production reports include the full MP3, downloadable transcript, and per-turn scoring.
What you get every Monday morning.
A full picture of how your IVR performed last week — and which scenarios moved.
IVR Performance Report
| Scenario | Runs | Pass rate | Avg TTR | 7-day trend | Status |
|---|---|---|---|---|---|
| Claim filing | 84 | 96% | 01:42 | Pass | |
| Billing inquiry | 120 | 91% | 00:58 | Pass | |
| Appointment booking | 64 | 78% | 02:18 | Review | |
| Password reset | 96 | 88% | 01:10 | Pass | |
| Outage status | 52 | 100% | 00:34 | Pass | |
| Transfer to human | 40 | 62% | 03:05 | Review |
IVRs that pass earn the badge customers trust.
When your IVR sustains a passing score across our full scenario suite for 30 consecutive days, you earn the Test Agent Lab Certified mark — proof your phone line meets real-world customer standards.
- Verified continuously, not once a year
- Public certificate page with run history
- Embed badge on your support site and IVR welcome
Two founders, one obsession: making phone systems behave.
Nima Bahrehdar is a product and AI strategy leader with over 20 years of experience building enterprise software and leading digital transformation initiatives across financial services, technology, and consulting. Throughout his career, he has helped organizations design, launch, and scale AI- and data-driven products at companies including Amazon, McKinsey, Fidelity Investments, and Citizens Bank. His work has focused on turning emerging technologies into practical solutions that improve customer experience, operational efficiency, and business outcomes.
As the founder of Test Agent Lab, Nima is focused on one of the biggest challenges in enterprise AI: ensuring AI agents are reliable before they reach customers. Test Agent Lab helps organizations automatically test conversational AI at scale using AI-powered customer simulators, objective evaluation frameworks, and detailed performance analytics.
Nima holds an MBA from Boston University and an AI & Machine Learning executive certificate from the Massachusetts Institute of Technology. He is passionate about building products that solve real customer problems and believes the future of AI will belong to organizations that treat quality, testing, and governance as core product capabilities—not afterthoughts.
Andre Wehe is a software engineer, entrepreneur, and systems architect with more than 20 years of experience building large-scale distributed systems, SaaS platforms, and intelligent software products. Throughout his career, he has held technical leadership roles at Amazon Robotics and Evolv Technology, and as the technical co-founder of nDash, where he architected and built the company's cloud platform from the ground up.
Under Andre's technical leadership, nDash grew into a content marketing platform trusted by thousands of organizations, including Oracle, Visa, Kohler, Bitdefender, Zeta, and Epsilon. He has also led the development of mission-critical cloud services supporting Amazon's global fleet of more than one million autonomous mobile robots, as well as AI-driven enterprise products deployed in high-traffic environments.
As Technical Co-Founder of Test Agent Lab, Andre is building the next generation of quality assurance for conversational AI. He believes AI agents should be tested with the same rigor as traditional software, enabling enterprises to deploy voice and chat experiences with confidence through automated testing, intelligent evaluation, and continuous quality monitoring.
Andre holds a Ph.D. in Computer Engineering and Computer Science from Iowa State University and a German Diplom-Ingenieur (Dipl.-Ing.) in Electrical and Computer Engineering from the University of Applied Sciences Bielefeld, Germany.
Ready to grade your IVR?
Tell us about your phone system. We'll run a one-week pilot and send you the first report — on us.