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Governance Guide

AI Model Risk Review Framework (2026) - Governance Board Guide

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.

Direct answer

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.

Fast path

  1. Start each review with unresolved Critical risks and trend movement since last cycle.
  2. Confirm mitigation status and evidence completeness for each High risk.
  3. Set escalation and release decisions based on predefined risk thresholds.

Guide toolkit

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Implementation Steps

  1. Start each review with unresolved Critical risks and trend movement since last cycle.
  2. Confirm mitigation status and evidence completeness for each High risk.
  3. Set escalation and release decisions based on predefined risk thresholds.
  4. Publish owner-assigned follow-up actions with due dates and next review checkpoint.

Related Guides

Use these adjacent playbooks to keep the same workflow connected across discovery, conversion, and execution.

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