AI Thought Leadership Podcasts

The path to implementing AI in compliance is rarely straightforward. It’s shaped by unique challenges, real-world constraints, and the lessons learned along the way. In this webinar, you will learn from: David Carretero and David Choi's experience at Oliver Wyman, working with clients to design and implement AI solutions that solve complex compliance challenges. Guðmundur Kristjánsson (GK), CEO and Founder of Lucinity, who built an advanced AI platform for FinCrime prevention, tackling challenges from development to adoption.

In this webinar, Gudmundur Kristjansson, CEO of Lucinity, and John McCarthy, a compliance expert with experience at Airbnb, Citi, and BMO, explored the shift from traditional processes to AI-driven financial crime operations. The discussion echoed the themes of Our Iceberg is Melting—one of Gudmundur’s favorite books—highlighting the need for adaptation in the face of a changing compliance landscape. Like the penguins in the story, compliance teams must adapt to a melting iceberg of outdated, manual processes cracking under modern pressures. The session provided actionable strategies for embracing AI to build stronger, more resilient systems. Drawing on John’s experience implementing AI at leading organizations, the conversation emphasized the advantages of moving beyond slow, reactive methods to confidently thrive in a tech-driven future. Missed it? Catch the recording to learn how to stay ahead as the compliance iceberg melts!

In this webinar, we dive into the transformative role of AI in financial crime compliance. As data volumes surge and compliance teams face rising operational fatigue, discover how AI can streamline investigative processes, reduce workloads, and boost overall efficiency. Our expert speakers unpack common challenges when implementing AI, from the classic build-vs-buy debate to integration complexities. Learn how the role of compliance professionals is evolving from deep analysis to overseeing AI-driven quality assurance, as well as why transparency in AI processes is essential for maintaining trust with regulators.