AI governance and release review

Key concepts

• Define intended use, risk, and ownership from planning. Use evidence at this stop to make the release decision.
• Review allowed use, sensitive data flows, access, evaluation results, audit and retention, and ownership for updates, backups, rollback, and incident response.

Checkpoint

Before release, which evidence is most urgent? Prioritize one now and schedule the others as well.

1. Quality and review effort

   Fits pilots proving usefulness and reduced manual effort.

   Tradeoffs · Average scores can hide costly failures across task types.

   Verify · Use held-out tasks to record acceptance, error severity, and review minutes.

2. Access control and traceability

   Fits shared departmental or sensitive information.

   Tradeoffs · Requires access scope, retention rules, and control over audit records.

   Verify · Attempt cross-team retrieval using different roles and verify traceability.

3. Recovery and operations ownership

   Fits teams relying on predictable daily service.

   Tradeoffs · Backups must restore, alerts need owners, and updates need rollback.

   Verify · Run an outage recovery drill and record owners, timings, and open issues.

Hands-on check

Complete a release checklist with owners, access and quality evidence, recovery tests, and open actions.

References

• NIST AI RMF

Illustration credits

• QUALITY REVIEW · AI-generated concept illustration. Verify actual specifications in product documentation.
• ACCESS & AUDIT · AI-generated concept illustration. Verify actual specifications in product documentation.
• SERVICE RECOVERY · AI-generated concept illustration. Verify actual specifications in product documentation.

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