Annual Review Checklist
What This Requires
Conduct comprehensive annual review of AI governance program: policy updates, control effectiveness, incident trends, maturity progress, framework alignment, and resource needs. Present findings to executive leadership and board.
Why It Matters
Annual review ensures governance evolves with business needs and emerging risks. It also demonstrates accountability to executives and board.
How To Implement
Review Scope
Cover: (1) Policy updates (AI policy, risk appetite, roles), (2) Control effectiveness (self-assessment per control), (3) Incident trends (count, severity, root causes), (4) Maturity progress (year-over-year comparison), (5) Framework alignment (gap analysis), (6) Resource needs (budget, headcount, tooling).
Data Collection
Pull metrics from: incident logs, control assessment records, maturity assessment, framework updates, budget actuals. Conduct stakeholder interviews (engineering, security, legal).
Report & Presentation
Draft report with executive summary, findings per section, recommendations. Present to exec leadership (CISO, CTO, CEO) and board/audit committee. Obtain approval for next year's roadmap and budget.
Follow-Up
Track approval decisions (policy updates, budget allocation). Schedule quarterly check-ins on annual roadmap progress.
Evidence & Audit
- Annual review checklist and scope document
- Completed annual review reports (current + prior year)
- Stakeholder interview notes
- Presentation materials for exec/board
- Approval records and budget allocation