The article emphasises that although organisations are increasingly able to build AI models, many lack the structured governance frameworks, skilled resources, and standardised controls needed to operationalise them effectively, especially under rising regulatory expectations for transparency, explainability, and auditability, ultimately reinforcing that without mature model governance, AI risks remaining confined to pilots rather than delivering sustained, scalable impact across financial crime compliance functions…