Governance Guide
AI Model Risk Review Framework for Governance Boards
Governance boards need a fixed review rhythm to decide when AI systems can scale safely. This framework aligns risk scoring, escalation decisions, and follow-up actions.
Implementation Steps
- Start each review with unresolved Critical risks and trend movement since last cycle.
- Confirm mitigation status and evidence completeness for each High risk.
- Set escalation and release decisions based on predefined risk thresholds.
- Publish owner-assigned follow-up actions with due dates and next review checkpoint.
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- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion