What you need to know
- Maintain a clear inventory with named business and technical owners.
- Link behavioral changes to relevant evaluation evidence.
- Turn user reports and incidents into tracked improvements.
Give the system an accountable owner
An organization cannot govern an AI system it cannot identify. Begin with an inventory entry that states the use case, business owner, technical owner, affected users, and data involved. Describe what the system is allowed to decide, what remains with a person, and how a user can challenge or correct an outcome. This turns a broad statement of responsibility into something a delivery team can act on.
NIST's AI Risk Management Framework organizes its core around Govern, Map, Measure, and Manage. We interpret that structure as a useful reminder that risk work continues throughout a system's life. An approval at launch does not account for a new data source, a changed model, or a feature that expands who can be affected.
Keep the record useful to the next reviewer
A practical evidence record links the current configuration to its evaluation results and known limitations. Include the scope of testing, important failures, review decisions, and the person responsible for the next update. Keep sensitive examples in controlled storage rather than copying them into a widely shared project document.
Record changes that affect behavior. A retrieval rule, access permission, or tool definition can matter as much as a model replacement. Reviewers need enough context to understand what changed and why existing evidence remains applicable. The goal is a clear decision trail that can survive staff changes and routine maintenance.
Connect incidents to change
Make it possible to report a harmful or incorrect outcome without requiring users to diagnose the model. Triage reports, assign an owner, and feed representative failures into future evaluations. Set review frequency according to the use case and observed risks. The most useful governance process helps teams decide when to proceed, when to narrow a feature, and when to stop using it until a problem is resolved.
Sources & further reading
This article draws on the source material and official product documentation below. Product capabilities can change; check each source for current details.
