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Analyze completed calls with structured insights across language and performance. Pick a pack, choose a date range, and review average score, resolution rate, trends, and top user questions. Audio-level metrics (WER, overlapping speech) are not included in v1 — analysis is transcript-based.

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QA packs

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QA credits

QA runs consume workspace credits based on LLM usage for each analysed call. The Usage page shows charges as QA usage. Cost breakdowns and markup are not exposed in the product UI.

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Availability

Requires AI Quality Assurance in your plan. This is distinct from per-assistant AI QA scorecards.

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UI

Open AI QA in the sidebar (/qa). Create a run, wait for the analysis progress, then open the report on its Overview tab.
AI Quality Assurance cohort list and Create Cohort button

AI QA → Create Cohort starts a new analysis; open a completed cohort from this list to review it.

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API

  • GET/POST /api/v1/qa/runs
  • GET /api/v1/qa/runs/{id}?include_results=true
Scopes: calls:read / calls:write.

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MCP

  • list_qa_packs
  • list_qa_runs
  • get_qa_run
  • create_qa_run