Testing a voice agent shouldn’t mean picking up the phone yourself. “Auto-calling” SaaS exist to let developers programmatically trigger real calls to their bots, feed in scripted inputs, and verify that the bot responds correctly: turn by turn, across accents, noise levels, or failure conditions.
At its core, the workflow follows a clear logic:
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1. Trigger the Call. The system initiates outbound (or inbound) calls via API or webhook, connecting directly to your agent’s number or endpoint.
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2. Scripted Interaction. Each test defines what the caller says and what the bot should reply. These interactions can cover happy paths, interruptions, and off-track utterances.
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3. Capture and Transcribe. Every call is recorded, diarized, and transcribed so teams can inspect audio, text, or timestamps.
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4. Verify Results. The service automatically checks the transcript against expected outputs—flagging mismatches, latency, or failures.
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5. Integrate and Repeat. Calls can be triggered on every model, prompt, or infrastructure change, turning conversational QA into part of CI/CD.
From Call Trigger to Verification: Cekura’s Automation Flow
Cekura automates the full loop: generate, call, verify, and optimize.
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Programmatic Voice Triggers: Through API or dashboard, Cekura dials your agent’s real number across providers like Vapi, Retell, ElevenLabs, Bland, and Pipecat, running true end-to-end simulations.
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Scenario Generation: Cekura auto-creates test scenarios and expected outcomes from your prompt or SOP, letting you cover happy paths, sad paths, and stress cases without manual scripting.
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Audio + Transcript Analysis: Each run captures recordings, transcriptions, and metrics - latency, interruptions, pronunciation, tone, tool-call success, hallucination, CSAT, and more.
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Automated Verification: Cekura’s LLM-as-Judge framework compares real responses to expected results, flags deviations, and suggests improvements.
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CI/CD & API-Ready: Entirely accessible via API or GitHub Actions, so calls can auto-trigger when you deploy a new prompt or model.
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Edge-Case & Stress Simulation: It can run adversarial personalities (“interrupter,” “pauser,” multilingual, noisy) or degraded network conditions to test resilience.
Why Teams Choose Cekura
Companies like Confido Health and Quo rely on Cekura to automatically call and verify their bots before every release, ensuring accuracy across versions and infrastructures.
By removing manual QA, they ship faster, avoid regressions, and maintain consistent voice performance at scale.
TL;DR:
Cekura is the service that can call your bot for you, verify what it says, and tell you exactly where and why it failed: automatically, repeatedly, and at production scale.