Transforming Financial Crime Investigations Through AI
Overview
This session cuts through the hype around generative and agentic AI to deliver clear, practical insight into how AI is being responsibly applied to fraud and AML programs, with a strong focus on explainability, regulatory readiness and real‑world investigative impact. We will survey the financial crime landscape, why legacy approaches are struggling, and how AI can materially improve detection accuracy, reduce false positives and free investigators from manual, low‑value tasks — without compromising governance or compliance expectations. Whether you are early in your AI journey or looking to scale safely, this webinar offers actionable perspectives on operationalizing AI in a regulated environment, understanding where emerging technologies fit (and where they don’t), and preparing your program for the future of collaborative, intelligence‑driven financial crime prevention.
All ACAMS webinars are available with live, AI-powered translation for audio and captions in more than 60 languages.
Learning Objectives
Understand why AI is essential to combating evolving fraud and AML threats, where rules‑based approaches fall short, and how different AI capabilities align to varying institutional maturity levels
Learn why explainable, regulator‑ready AI is non‑negotiable and how innovation can coexist with compliance, governance and model risk expectations in a highly regulated financial services environment
Discover how AI can materially improve investigation efficiency by reducing false positives and manual, repetitive work — freeing investigators to focus on higher‑risk cases and better outcomes
Sponsors
Topics
- Money Laundering Typologies
- AML Regulations and Legislations
- Sanctions Screening
- AI-based systems
- Governance and Reporting
- Regulatory Reporting
- Risk Management
- AML and Sanctions Investigations
- Case Management
- LLM and Generative AI
- Machine Learning
- Agentic AI
- Anti-Money Laundering and Countering the Finance of Terrorism
- Screening
- Financial Crime Controls
- Transaction Monitoring
- Control Workflows
- Artificial Intelligence
- Technology
Industries
- Banks
- Financial Services
Regions
- North America
- Jurisdictions
Level
- Intermediate