Live Masterclass

AI in AML: From Alert Overload to Agentic Adjudication

Join Castellum.AI for a 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.

5. Live audience Q&A

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.