AI Governance
AI Governance Operating Model Design
- Track
- Enterprise Advisory
Focus
Turning an AI governance policy into day-to-day ownership, risk decisions and evidence, using OPERA.
Approach
- 01
Opportunity: catalogue current and planned AI use cases against business intent, ahead of technical capability.
- 02
People: assign a named owner for each use case and each governance decision.
- 03
Evaluation: apply a consistent risk model across use cases, calibrated to impact and reversibility.
- 04
Response and Assurance: define escalation paths, approval gates and the ongoing evidence trail.
Deliverables
- AI Use-Case Inventory and Risk Register
- RACI Matrix for AI governance decisions
- Decision Framework covering risk evaluation and approval gates
- Board Reporting Pack for executive and board oversight
Named case studies for this engagement area will be added here once cleared for public reference.