Episode 17 - AI, AML and Regulatory Defensibility
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
Episode 17 - AI, AML and Regulatory Defensibility
-
Narrated by:
-
By:
In this episode of The AML Clinic Podcast, Michelle Clement is joined by Arik Oslerne to explore one of the biggest shifts currently shaping AML and client onboarding: the rise of AI.
The episode explores:
- where AI is currently adding practical value in AML and onboarding
- how automation is changing legal workflows and decision-making
- the risks of over-reliance, false confidence, and loss of context
- why AI outputs still require human challenge and interpretation
- what makes AI-supported decisions defensible under regulatory scrutiny
- how firms should think about oversight, audit trails, and accountability
- where the legal market is heading as firms increasingly embed AI into practice
The conversation focuses on the reality that regulators will still expect firms to explain how decisions were reached, what information was considered, and whether the outcome made sense in context.
Designed for law firm leaders, MLROs, compliance professionals, and risk teams, this episode offers a practical and grounded discussion on how firms can integrate AI into AML processes in a way that is effective, proportionate, and defensible.
SRA | Compliance tips for solicitors regarding the use of AI and technology | Solicitors Regulation Authority