

From Production to Judgment: A Practical Model for AI Adoption
Not every AI success story starts with Generative AI. Sometimes it starts with a business problem that demands a different approach. In this episode of The Generative Edge, Donovan Spronk and Tara [title to verify] are joined by Ben [surname and title to verify], who leads platform and architecture at a technology company created to commercialize banking capabilities originally developed within KBC Group. Together, they explore how a highly regulated financial services environment shapes decisions about AI, innovation, governance, and product development. At the center of the conversation is an anti-money laundering platform designed to help financial institutions identify suspicious transactions at scale. Rather than adopting Generative AI as the foundation of the solution, the team combined deterministic rules, machine learning, and human expertise to build a system that prioritizes explainability, regulatory confidence, and operational performance. Thanks for listening to The Generative Edge! Subscribe, rate us, and share your thoughts! Watch our video episodes on YouTube. Want to be a guest or share your thoughts on The Generative Edge? Email us and we'll get back to you!















