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Customer documentation

Quality contracts and evaluation

Define, measure and improve the outcomes required from AI systems.

Quality contracts and evaluation

A quality contract defines what a successful response must satisfy. For example, a knowledge answer may require grounded claims and citations; a structured workflow may require a validated format and a safe response when evidence is insufficient.

Build a contract

  1. State the use case and accountable owner.
  2. Define required grounding, freshness, structure, safety and response behaviour.
  3. Choose an appropriate behaviour for insufficient evidence: clarify, retrieve, escalate, return partial information or refuse.
  4. Create representative evaluation cases and a baseline.
  5. Review quality, cost and latency before promoting a change.

Use feedback and evaluation results to improve prompts, routing and policy. Keep promotion accountable and reviewable.