Accents, background noise, overlapping speech, and poor audio quality change how the agent hears and responds in ways lab tests never reveal.
Building an AI Voice Agent is hard.
Testing one is even harder.
Traditional QA can verify that the application responds, but may not catch the real-world failures that surface when voice agents handle live conversations.
The agent understands the words but maps them to the wrong intent routing a complaint as an enquiry, or a cancellation as a renewal.
The agent confidently states information that was never in its knowledge base pricing, policies, or commitments that do not exist.
Realistic conversations are difficult to test at scale Voice agent testing requires dynamic conversations, making it difficult to manually test diverse user behaviors, edge cases, and unexpected responses at scale.
What we will cover
Practical areas your team should address when building an AI Voice Agent testing strategy. Testiva's team will also give a live walkthrough of Testiva's in-house AI Voice Agent testing tool during the session.
AI Voice Agent testing fundamentals
Speech recognition and transcription quality
Multi-turn conversation and context retention
Escalation and fallback behaviour testing
Privacy, data handling and compliance considerations
Intent recognition and slot-filling accuracy
Hallucination and response accuracy testing
Real-world audio edge cases and noise scenarios
Latency, interruption, and barge-in handling
Q&A session with the Testiva team
Who should attend
This webinar is designed for teams building or preparing to deploy AI Voice Agent products.
Join the webinar
Reserve your spot and learn how to build a stronger testing strategy for your AI Voice Agent.
After registration, Testiva team will contact you and will share the webinar link via email