Live Masterclass
AI in AML: From Alert Overload to Agentic Adjudication
Practical masterclass on how financial institutions are applying AI in AML workflows. Learn where AI is delivering value today and how institutions can deploy it responsibly. The session will cover:
1. AI use cases in AML: From alert review, KYC screening and EDD investigations to transaction monitoring and SAR preparation.
2. Agentic alert resolution: How agents triage alerts and assist analysts in resolving high-volume screening alerts.
3. Evaluating AI vendors: How to assess AI solutions for technical capabilities, explainability, operational fit and measurable ROI.
4. Implementation and regulatory readiness: How institutions can build human-AI workflows and maintain audit-ready oversight.
Meet the Speakers
Spencer Vuksic
VP, Growth
Castellum.AI
Spencer leads growth at Castellum.AI, working directly with partners to solve AML/KYC challenges across compliance workflows. Spencer brings over a decade of compliance expertise, including as a consultant for financial institutions and global corporations on AML program management and leading compliance investigations.
Morgan Loewith
Head of Product
Castellum.AI
Morgan leads product at Castellum.AI. With over a decade of product management expertise, Morgan works closely with Banks and fintechs to build practical, regulator-ready solutions. Her client-centric approach has helped financial institutions strengthen compliance programs and improve AML/KYC effectiveness.
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.