Financial Crime is a Decision-Speed Problem: Rethinking AI in AML and Compliance Controls
- Kieran Holland
- 5 hours ago
- 1 min read
As published in A-Team RightegTech Ins.
In today’s rapidly evolving risk landscape, traditional anti-money laundering (AML) and compliance frameworks are being pushed to their limits. In this article, FinScan’s Kieran Holland reframes the challenge at the heart of modern financial crime defense: it’s no longer just about volume or resourcing, but about how quickly institutions can gather, harmonize, and act on fragmented data to reach defensible decisions.
Drawing on deep experience in compliance operations, the piece explores where time is lost in current processes, how AI can meaningfully augment human judgment rather than simply automate it, and why robust data governance is the foundation for any effective AI-enabled program. It’s an essential read for compliance leaders seeking to move beyond legacy controls toward decision-centric models that keep pace with increasingly sophisticated financial crime.
