Voice AI Testing
Test the complete voice workflow—from speech recognition and turn-taking to tool execution, handoffs and long conversations.
The Challenge
Voice AI compounds every hard problem in AI with the messiness of real speech: accents, background noise, interruptions and misheard details—any of which can quietly derail a call.
We test the whole voice pipeline, not just the language model: recognition accuracy, turn-taking, handling of critical data like names and numbers, tool execution, escalation and behaviour across long, realistic conversations.
What Can Go Wrong
Voice AI failure modes we test for
Mishears Critical Data
Names, emails and phone numbers are misheard, corrupting downstream actions.
Hallucinated Confirmations
The system confirms dates, availability or details that were never actually established.
Broken Turn-Taking
Interruptions, silences and overlaps cause the system to talk over or ignore the caller.
Failed Handoffs
Escalation to a human or another system drops context or fails silently.
Our Testing Methodology
How we test conversational voice systems end to end
Map the Flow
We document recognition, dialogue, tools, escalation and data capture.
Stress Recognition
We test accents, noise, interruptions and hard-to-hear data.
Run Full Calls
We simulate long, realistic conversations including edge cases and escalations.
Verify Actions
We confirm captured data and executed actions match what was actually said.
What You Get
Voice AI Test Report
Recognition, confirmation and handoff failures with call transcripts and evidence.
Call Scenario Suite
Reusable conversation scenarios to rerun on every model or prompt change.
Reliability Recommendations
Practical fixes for data capture, turn-taking and escalation.
Does Your Voice AI Hold Up on Real Calls?
Request voice AI testing across the full call, not just the language model.
Discuss a Partner Pilot