Beyond the Buzzword: The Dos and Don’ts of AI in AML
- Ethan Kratt
- Sep 18
- 2 min read
Updated: 4 hours ago
October 22nd, 2025
1pm ET / 12pm CT
AI is everywhere - but in BSA/AML, not all AI is created equal. From flashy promises that don’t deliver to real-world tools that save hours of busywork, knowing the difference is critical for BSA Officers and back office teams.
In this practical session, former OCC bank examiner and RiskScout Chief Product Officer Ryan McInerny breaks down what’s hype and what’s helpful when it comes to AI in BSA/AML. You’ll walk away knowing the right questions to ask vendors, how to spot red flags, and where AI can genuinely support your program without creating new risks. Plus, we’ll share stories of how community banks and credit unions are already putting AI to work to save time and stay exam-ready.
Whether you’re curious, cautious, or already leveraging an AI-enabled tool, this session will give you the clarity you need to make smart decisions for your institution.
Join this session to learn:
Data & Privacy Concerns: Understand where sensitive information could be at risk and how to safeguard it.
What to Ask Vendors:Â A guide for questions to uncover how AI models handle your data, privacy, and controls.
What are the Types of AI: Learn the difference between predictive and generational AI.
Meet the Presenters:
Ryan McInerny, Director of Product Strategy
Ryan McInerny is the Director of Product Strategy at RiskScout, where he is passionate about creating solutions to enhance the day-to-day lives of financial institution employees. He brings a wealth of regulatory and technical experience to his role as a former National Bank Examiner with the Office of The Comptroller of the Currency (OCC). At the OCC, Ryan was a member of the OCC’s northeast district committees for compliance and commercial credit, where he helped to identify changing industry trends and risk conditions. Ryan brings a strong business sense with his banking expertise, having received his Masters Degree in Business Analytics from UVA's Darden School of Business.
