Voice Agent Testing is the practice of validating an AI voice agent's behavior before and after deployment using scripted scenarios, simulated callers, regression suites, adversarial inputs and load tests. It catches failures in understanding, dialogue logic, latency and edge cases so issues are found before real callers hit them.
Unlike a one-off evaluation, testing runs repeatedly as prompts, models and flows change. Automated conversation tests, edge-case and adversarial inputs, and load testing keep voice agents stable across releases — preventing regressions that would otherwise surface in live customer calls.