Overview
AI governance isn't a one-time deliverable. As adoption expands across workflows, new use cases emerge, vendors change their data practices, employees find creative applications that weren't anticipated, and regulatory expectations evolve. A governance framework drafted in January can be irrelevant by June if nobody is reviewing adoption against it.
This retainer provides recurring governance oversight: reviewing new AI use cases against policy, evaluating vendor changes and exceptions, maintaining the governance roadmap and decision log, preparing quarterly leadership briefings on AI-related risk, and escalating into targeted assessments, policy updates, or rollout support when conditions change.