Effectively Leveraging AI in Compliance Strategy

What you’ll learn in this webinar

• How AI is defined and why it matters for compliance
  Gain clarity on what qualifies as “AI” under regulations such as the EU AI Act, and why distinguishing AI from automation or basic analytics has significant regulatory consequences.
• A global view of AI regulation and supervisory expectations
  Understand how different jurisdictions are approaching AI oversight, from proactive regulatory sandboxes to more cautious adoption, and what this means for multinational compliance strategies.
• Key challenges in adopting AI responsibly
  Explore common barriers including data quality, explainability, cost expectations, skills gaps, and the fear of “black box” decision-making, and how organisations can address them pragmatically.
• High-value, real-world AI use cases in compliance
  Learn where AI is already delivering impact today, including KYC, transaction monitoring, sanctions screening, fraud detection, trade finance, and investigative efficiency, without overpromising false-positive elimination.
• Ethical risk, human oversight, and governance best practices
  Discover why human-in-the-loop controls, cross-functional collaboration, and strong governance frameworks are essential to building trustworthy, regulator-ready AI systems.
• How to prepare for the future of AI in financial crime prevention
  Get practical guidance on incremental adoption, targeted models versus generic tools, working with the right vendors, and staying aligned with both the letter and the spirit of regulation.