On-Demand Webinar

Fireside Chat: The 2026 AI Agents in AML Roadmap

Get access to an on-demand recording where a panel of AML practitioners examine the current state and emerging best practices for agentic AI in AML workflows. The panel covers:

  1. Technical architecture and workflow integration for AI agents in alert adjudication pipelines

  2. Comparative analysis of pilot approaches and measurable success criteria

  3. The shift in AML analyst responsibilities and organizational structure implications

  4. Addressing regulator concerns and objections

  5. Open Q&A with the audience

If you work in compliance, this is a must watch.

Meet the Speakers

Jason Boova

Jason Boova
Chief Compliance Officer
Grasshopper

Jason is a banking and fintech compliance expert and former regulator. As CCO of digital-first Grasshopper Bank, he oversees AML, financial crimes compliance, and AI-native solutions. He has extensive compliance operations experience, having advised BaaS banks and fintechs at Maquette Advisors and Treliant.

Jesse Reiss
CTO
Hummingbird

Jesse is CTO and co-founder of Hummingbird, an AML and financial crime compliance platform, where he oversees development of AI-enabled products to accelerate investigations.

Peter Piatetsky
CEO
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.

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.

  • Edge case handling: Can the agent triage intelligently and learn, or is escalation the default?

  • Decision journaling: What auditors and regulators expect from AI explainability and documentation.

  • 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.

Download the Ebook