From principles to practical governance
This executive guide explores the governance capabilities financial institutions should consider as artificial intelligence becomes more deeply embedded in products, operations, decision-making, and third-party services.
It is designed to help leaders frame the right governance questions and understand the capabilities that support responsible adoption, without treating AI as a separate compliance silo.
- Connect AI oversight to existing enterprise risk and compliance structures.
- Clarify accountability, governance roles, and executive oversight.
- Consider AI inventory, risk assessment, monitoring, third-party risk, and issue management.
- Strengthen board and executive reporting as AI adoption matures.
- Identify areas where institution-specific design and implementation decisions are required.
Designed for leadership conversations, not as a substitute for tailored implementation. The appropriate governance model depends on an institution's business model, regulatory profile, technology environment, risk appetite, and existing control structure.
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