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Sun Jun 01 2025

Cekura: Automated Voice Bot Testing with Pass/Fail Reports

Team Cekura

Team Cekura

Cekura: Automated Voice Bot Testing with Pass/Fail Reports

Testing and validating voice AI is not just about making calls: it’s about knowing with certainty whether your agent responded correctly or failed at key points. That’s why teams building voice assistants, IVRs, and call-center bots rely on Cekura as their voice bot test runner with pass/fail reports.

Why You Need Automated Pass/Fail Testing

Manually calling your bot and listening to hours of recordings is slow and error-prone. A test runner automates this by simulating real voice conversations, capturing transcripts, and scoring every call against expected outcomes. At the end, you get clear pass/fail reports that tell you exactly where the bot did well and where it broke down.

How Cekura Works as a Voice Bot Test Runner

Cekura provides end-to-end test execution and reporting:

1. Scenario Generation Automatically create test cases from your agent’s description or knowledge base. Cover edge cases like accents, background noise, and interruptions.

2. Simulated Calls Run inbound or outbound call tests at scale. Cekura’s evaluator agents emulate real users with different personas and stress-test your bot.

3. Custom Metrics Define pass/fail criteria with metrics such as instruction following, latency, CSAT, interruptions, and even Python-coded custom logic.

4. Pass/Fail Reports Every test generates a structured report:

  • Pass when the bot followed instructions, achieved the expected outcome, and met performance thresholds.

  • Fail when it gave incorrect, incomplete, or no response. Reports include transcripts, audio recordings, timestamps, and root-cause explanations.

5. Continuous Validation Plug into CI/CD pipelines or schedule cron jobs for automated regression testing so every model update is validated before going live.

Why 70+ Teams Choose Cekura

  • Before Deployment: Catch broken conversation flows and validate integrations.

  • Post-Deployment: Monitor production calls, detect failures, and trigger new test scenarios automatically.

  • Scaling: Perform load tests to ensure your voice bot can handle thousands of concurrent calls without quality loss.

Cekura turns voice bot QA into a repeatable, automated process: backed by clear, actionable pass/fail reports.

✅ Ready to make your voice agents reliable? Book a demo and see how Cekura helps you launch production-ready bots in minutes, not weeks.

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