On-Demand Recording
Blueprint for Regulator-Aligned AI in AML
Banking regulators are now overtly highlighting the cost of not implementing AI into AML programs. The research backs this up, with recent FRB analysis finding that LLMs dramatically outperform traditional approaches to sanctions screening. But wanting to adopt AI and knowing how to implement it are two different things.
In this session, compliance experts will share how to close that gap:
What recent regulatory signals mean in practice for screening program design, model risk and team structure
How leading institutions are consolidating alert generation and adjudication into a single AI-driven workflow
Evaluating, testing and implementing AI overlays that work within your existing workflows
The operational requirements behind successful deployments: governance, model validation, policy alignment, QA/QC and change management
Meet the Speakers
David leads sanctions compliance transformation and the development of compliance frameworks for digital assets and stablecoins at Western Union. David previously held senior compliance roles at Payoneer and Circle. Before industry, David served in the US government, including as Sanctions Director at the US Mission to the UN.
Brandi Reynolds
CCO
World Liberty Financial
Brandi serves as Chief Compliance Officer at World Liberty Financial. Previously, she served as the Chief Growth Officer & Senior Managing Director at Bates Group, counseling financial services clients on AML, risk management, and AI systems monitoring. Brandi has over two decades experience in risk and compliance across banking, fintech and crypto.
Peter Piatetsky
CEO and Co-Founder
Castellum.AI
Peter leads strategy, growth and product at Castellum.AI, working closely with clients to implement risk-aligned solutions. Prior to co-founding Castellum.AI, Peter served at the US Treasury Department.
David Lee
Global Head of Sanctions and Interdiction Strategy
Western Union
Featured Resource
How to Evaluate AI Agents for AML/KYC Workflows
A practical guide for teams to assess, test and implement AI agents into compliance workflows.
What’s inside the guide:
True agentic AI vs. automation: How to spot real autonomy, not just workflow orchestration.
Data governance: Why ownership and control of risk data matters for safe decisioning and auditability.
Human-in-the-loop design: How to ensure the right feedback loop to improve accuracy and accountability.
Regulatory readiness: How to align AI deployment with emerging regulatory expectations.