Navigating the Complexities of Fraud Detection with AI

In this second of a two-part series, Nick Lewis, Managing Director for the High Risk Client Unit at Standard Chartered Bank, returns to the AI in Business podcast to unpack the ongoing transformation of anti-financial crime efforts in an increasingly digitized world. In this episode, Nick and Emerj Editorial Director Matthew DeMello examine the persistent tension between rule-based alert systems and the nuanced, judgment-driven work of human investigators in financial crime prevention. Nick highlights how current AML workflows still rely heavily on deterministic systems that struggle to distinguish legitimate anomalies from criminal behavior—and why AI solutions must be deployed carefully to avoid removing critical human oversight. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!