Change Management
Operational controls for change management — with maturity levels, evidence requirements, and implementation guidance.
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What applies to me? →3 controls matching filters
AI Model Version Control
Track model versions, configurations, prompts, and deployment history so that any production state can be reproduced and compared.
AI Model Change Documentation
Record what changed between model versions, why the change was made, what testing was performed, and who approved the deployment.
Model Deprecation Procedure
Define the process for retiring AI models from production, including notification, data handling, audit trail preservation, and transition planning.
Change Management, tracked weekly
New change management controls and the regulatory developments driving them — plus everything else changing in AI governance. Every Thursday.