AI Governance Framework for Financial Infrastructure
Problem
How do financial regulators build institutional capacity for responsible AI adoption without stifling innovation?
Approach
Developed a risk-based governance framework combining technical standards, organizational readiness assessments, and ecosystem coordination mechanisms.
Impact
Framework informed policy development at central bank innovation hub and provided reference architecture for regulated financial institutions.
This engagement involved designing an AI governance framework specifically for financial infrastructure operators—entities managing critical payment systems, clearing houses, and digital public infrastructure.
The challenge was threefold: establishing technical guardrails without prescriptive technology mandates, building organizational readiness beyond just AI literacy, and creating coordination mechanisms that enable ecosystem-wide standards while allowing for institution-specific implementation.
The deliverable included a maturity model for institutional AI readiness, risk assessment templates aligned to financial regulatory frameworks, and guidance on governance structures that integrate AI oversight into existing risk management processes.