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AI Quality Assurance

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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Packs

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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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Plan gate

Requires plans.ai_quality_assurance (enabled by default on Pro / Enterprise / Business / Scale). 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 Call QA Overview dashboard.

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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