EP1 - How Banks Can Use AI to Detect Financial Crime More Effectively

Conductors - AI against Financial Crime I AI won’t fix your compliance problems, unless your data is ready AI is everywhere, however, when it comes to financial crime prevention, most banks are still figuring out what actually works. In this first episode of Conductors – AI Against Financial Crime, Tamás Sváb and András Simonyi (Consortix) invite Christopher Ghenne (SAS) to break down the reality behind AI in AML and compliance. They go beyond the buzzwords and examine how financial institutions can already use AI to improve their compliance and identify money-laundering activities. AI isn't magic. Without good data and a clear process behind it, even the best models fall apart. Used well, it surfaces risks that would otherwise slip through and takes the grind out of compliance work. 🎧 If you want a practical, non-hype perspective on how AI is reshaping financial crime prevention, this episode is for you. 🎯 In this episode, you’ll learn: 00:00 – Introduction: AI in financial crime prevention 05:00 – What “AI” really means in AML (beyond the buzzword) 08:30 – Why data quality is the real starting point 12:00 – First AI use cases: alert scoring & customer segmentation 18:00 – Common mistakes when starting AI projects 22:00 – How AI improves investigation workflows 27:00 – Will AI replace compliance investigators? 32:00 – Building an AI strategy in AML: where to start 38:00 – Regulation, EU AI Act, and working with regulators 41:00 – AMLA & the future of compliance systems in the EU 48:00 – Predictions: the future of AI in financial crime 👍 If you found this episode valuable, don’t forget to: Like & share the episode Subscribe for upcoming conversations on AI and financial crime Leave a comment with your personal take on AI in compliance 🔗 Useful links: Consortix website: [https://www.consortix.com/] Consortix blog: [https://www.consortix.com/blog] SAS AML solutions: [https://www.consortix.com/financial-c...]