Retell AI
Give voice agents real operational follow-through

Build, test, and operate Retell AI voice and chat experiences with accountable customer handoffs. Configure agents, conversation flows, and knowledge sources around a specific customer outcome. Run defined conversation test cases, inspect batch results, and publish only the approved agent version.

Yes. Ask it to "build a voice-agent qa desk". Build a Retell AI QA desk for the selected agent and response engine. Create the approved conversation test cases, run a batch, inspect every test result, and turn failures into tracked fixes. Re-test the corrected draft before publishing the explicitly approved version.

Yes. It can create scenario definitions, run a batch against the selected response engine, inspect individual test runs, and correct the draft configuration. Publication creates a version boundary; the rollout checks the version and number binding rather than assuming draft edits are already live.

Connect the apps your mission uses. HubSpot to keep call outcomes actionable; Zendesk to own service escalations; Google Calendar to coordinate confirmed callbacks. SPIRITT carries the handoff through and checks the result in the destination.

Phone calls, publishing, and number changes are external actions scoped to explicit authorization. Outbound calls need a configured number and account capacity. Creating a test job or call is not proof of completion; results and final conversation records govern follow-through.

Open a SPIRITT workspace, connect Retell AI, and name the target records and desired outcome. Start with "Build a voice-agent QA desk" or bring your own mission. Set the scope for changes and external actions, then let your agent run the work.