Webinar: AI in Financial Crime

You are probably being asked where AI can improve performance across the areas you are responsible for, and where it can be tested safely now. The problem is that most AI advice doesn’t tell you what to do next. It doesn’t show what will work in a real KYC, AML, screening, investigations or controls environment. That's exactly what this session is designed to show you. Join Roger Tudor, Matthew Gementera and Sam McArd from BeyondFS for a live briefing and demonstration, designed to help you take practical control of AI in your area. We look at what is genuinely possible today, where AI is likely to work in a real operational or oversight environment, and where rules-based or hybrid automation may still be the better answer. We also show a simple AI-enabled application that a financial crime team could build internally, without major vendor expenditure or heavy reliance on IT. The aim is to show what controlled, team-led experimentation can look like when it is focused on a real FinCrime challenge. This session should be useful if you want to move beyond generic AI discussion and start making clearer decisions about how AI can work for the areas you lead, without becoming dependent on vendor roadmaps or waiting for a major IT-led programme. What you will take away from this session What AI can realistically do in financial crime today Which operational and control challenges are well suited to AI Where rules-based or hybrid automation may be the better answer How to test practical AI use cases without creating unnecessary governance or control risk A live demonstration of a simple AI-enabled application built around a real FinCrime challenge