AI brought inside the enterprise risk framework, with clear ownership, defined risk appetite and board-level oversight.
AI is now part of how institutions decide, serve and operate, and boards are accountable for it. We approach AI from the enterprise risk side, not the engineering side: the same disciplines of ownership, appetite, controls and monitoring that govern any material risk, applied to AI use across the institution. Model development and technical testing remain with your technical teams or specialist providers.
OwnershipInventoryRisk classificationAppetiteThird partiesBoard oversight
WHAT WE DO
Services in practice.
Four services, each aligned with a function of the NIST AI Risk Management Framework (AI RMF 1.0).
TYPICAL DELIVERABLES
What you receive.
- AI policy aligned with the ERM framework
- AI use-case inventory and classification method
- AI statements within the risk appetite
- Oversight and reporting arrangements for the board
- Third-party AI due diligence checklist
- Framework alignment with the NIST AI RMF
