Bank Executives Share AI Model Management Lessons in New E-Book
Senior compliance leaders from major financial institutions have released practical guidance on governing AI models in banking. The e-book, produced by AML Intelligence in collaboration with Hawk, draws on real-world experience from executives managing fraud detection and transaction monitoring systems.
The publication reflects a widening gap between AI adoption and governance maturity in banking. While 80% of banks now use AI in at least one core risk or compliance function, 60% still lack a formal AI governance framework.
Contributors and Focus
Contributors include Adrianna Fabijanska, Global Head of Financial Crime Compliance for Investment Banking at ING; Robert Edwards, former Global Head of Transaction Monitoring at Credit Suisse; Nadia Wilson, Global Head of Transaction Monitoring at Rabobank; Matt Willard, Head of Anti-Financial Crime at Apple Bank; and Bruno Medeiros Augusto, Manager at Rabobank Global Sanctions Specialist Services.
The e-book addresses a fundamental shift in how compliance teams approach AI. Rather than accepting models from data science teams, compliance leaders are taking ownership of governance from design through deployment and ongoing oversight.
What the E-Book Covers
The guide offers peer perspectives on:
- Building formal AI governance frameworks
- Managing model risk across the lifecycle
- Meeting regulatory requirements for AI transparency
- Practical lessons from institutions already managing large-scale AI deployments
For management professionals in compliance and risk, the e-book provides actionable steps rather than theory. It reflects how AI governance in financial institutions has moved from optional to essential.
The publication is available for download from AML Intelligence.
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