Financial crime has arguably changed more in the past decade than at any point in modern history, shaped by the rise of AI (and AI-powered fraud), stablecoins and other crypto assets, synthetic identities, and the maturation of real-time payment rails. Legacy AML programs can no longer keep pace.

This playbook from Oscilar and FS Vector provides a practical framework for applying AI across anti-money laundering operations, from KYC and transaction monitoring to sanctions screening and SAR filing, while maintaining explainability, strong governance, and examiner readiness. Grounded in recent enforcement actions and real-world deployments, it shows compliance leaders how to modernize AML programs without sacrificing accountability.

Inside you'll find:

• The three non-negotiable guardrails: explainability, governance, and accountability. Understand what regulators expect from AI-enabled AML programs and where AI is already delivering measurable value across five core compliance functions.
  
  

• Eight agentic AI applications already in production: from L1 alert triage and SAR narrative drafting to QC sampling and network intelligence. Each use case demonstrates how AI agents can absorb manual investigative workload while analysts remain in the loop to exercise judgment, context, and accountability.
  
  

• A four-step implementation roadmap and examiner readiness test: practical guidance for sequencing AI adoption, avoiding common pitfalls such as governance theater and black-box dependencies, and preparing your program to withstand regulatory scrutiny.