Anti-Financial Crime Leaders Share Insights on AI Model Governance in New eBook

Hawk Launches Report: Inside AI Model Management with Lessons from Financial Crime Leaders

Financial crime and compliance experts from some of the world’s leading financial institutions have shared their experiences and advice on AI model governance in a new eBook titled "Inside AI Model Management: Lessons from Anti-Financial Crime Leaders".

The eBook, which has been produced by Hawk and AML Intelligence, features in-depth interviews with five distinguished practitioners from ING, Rabobank, Apple Bank, and Credit Suisse. 

AI model governance has become a hot topic for anti-financial crime (AFC) teams as the adoption of machine learning, generative AI, and agentic AI for anti-money laundering and fraud prevention has grown. 91% of financial institutions now encourage the use of AI for financial crime and compliance. 

Yet research from Hawk and Chartis has shown that 83% of AFC professionals have experienced difficulty interpreting or trusting AI model outputs, while 70% have encountered model performance issues.  

The eBook includes: 

  • Why model development fails and what the leaders in this report do differently
  • The importance of problem definition
  • How AI and traditional rule-based models can learn from each other 
  • The critical role of data quality 
  • How institutions monitor for model drift and human drift, and what triggers a decision to retrain
  • The importance of "human in the loop" and how to get this right
  • The critical role of explainability and why it must be 'operationally meaningful'
  • Why models can produce accurate logic that doesn't match compliance needs - and how leaders accommodate 
  • The distinct governance challenges that come from machine learning vs generative and agentic AI

Hawk's report makes it clear that the institutions best positioned to lead on AI are not necessarily those with the most advanced models, but those that build governance frameworks that are resilient, auditable, and capable of optimizing models faster than the risks they face. 

The eBook also explains how Hawk helps financial institutions meet these governance challenges. 

Download your copy below.

Download the Guide

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