AI & AML - Regulatory Expectations, Governance & Control

Introduction

Artificial Intelligence (AI) is rapidly reshaping Anti-Money Laundering (AML) frameworks across financial services and professional services sectors. From transaction monitoring to enhanced customer due diligence (CDD), AI-driven tools are transforming how organisations detect, prevent and manage financial crime.

This webinar provides a practical and up-to-date overview of the opportunities and risks associated with AI-enabled AML. It explores regulatory expectations, implementation challenges and emerging best practices to help compliance teams deploy AI responsibly and effectively.

Designed for AML compliance professionals, MLROs, legal and risk teams and fintech/regtech specialists, this webinar combines regulatory insight with real-world application.

What You Will Learn

This webinar will cover the following:

• Key developments in AI and AML
• The growing role of AI and machine learning in financial crime prevention
• Regulatory highlights and supervisory expectations (UK, EU and international)
• Applications of AI in Customer Due Diligence (CDD) and Enhanced Due Diligence
• How AI improves detection of suspicious activity
• Practical case examples of AI-driven monitoring and analytics
• Data privacy, explainability, transparency and model governance
• Managing AI risks, including bias, false positives and negatives and human oversight