Governance, adoption and scale
Evaluation & Evidence
Make AI's judgments and actions leave a record that can be reviewed and traced.
Why it matters
AI decisions with no record can't be traced back when something goes wrong, and the organization can't learn from the mistake.
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What it delivers
- Build a mechanism to evaluate AI output quality and risk
- Design how review decisions get recorded (reason, evidence, outcome)
- Keep the record volume within what staff can reasonably maintain, so it doesn't become a formality
When it applies
After an AI system has been live for a while, when a long-term, traceable quality and risk record needs to be established.
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