Webinar
Fireside Chat: FinCrime Agent Benchmark and Evaluating AI for AML
Compliance teams rely on LexisNexis® Bridger Insight® XG and Firco™ for AML/KYC, but resolving what the system flags remains a manual process. Arbiter changes that by bringing AI agents directly into the Bridger and Firco workflows, adjudicating alerts in real time without asking teams to adopt a new system.
This session — exclusively for compliance teams using Bridger or Firco — is a live walkthrough of how the Castellum.AI integration works in practice, and what it means for compliance teams looking to scale alert review without adding headcount or infrastructure.
How Arbiter adjudicates alerts natively inside Bridger and Firco
What changes (and what doesn't) for existing risk thresholds, policies and procedures
Deployment timeline and requirements
Results from institutions using Arbiter today
Meet the Speakers
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.
Peter Piatetsky
Co-Founder & CEO
Castellum.AI
Tyler Curry
VP of Sales
Castellum.AI
Morgan Loewith
Head of Product
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.
Tyler Curry is VP of Sales at Castellum.AI, where he works with financial institutions and corporates on deploying AI agents for AML and KYC alert adjudication. He brings over 10 years of experience working with enterprise customers across B2B SaaS and fintech, including prior roles at Napier and Chainalysis.
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.