Published by 1LoD and sponsored by Lucinity, this report emphasizes the cautious adoption of AI and machine learning to enhance financial crime management while retaining human intuition for complex cases. It advocates for a proactive approach through scenario planning and robust data governance to build an effective risk management foundation.

The report highlights the importance of harmonizing regional and global regulations and integrating technology with skilled human teams. It also discusses the need for public-private partnerships, like the Joint Money Laundering Intelligence Taskforce (JMLIT), to improve intelligence sharing and allocate resources to the most pressing threats effectively.