Explore where AI can make a difference

How the review works

Together with your AML team (and IT team when needed), we review workflows to identify where AI could reduce manual work, improve the quality and consistency of assessments, and support analysis. We examine how the output would be used and how it would fit with analysts’ review and decision-making. We then assess which of the necessary data, systems and controls are in place, and identify what needs to be in place before implementation.

Two possible starting points

For some organizations, it is possible to move relatively quickly. An AML team may, for example, already have the customer, transaction and case data needed to use AI to summarise investigation material, highlight relevant risk indicators, and prepare a first draft of an analyst assessment. The remaining work may mainly involve testing, integration, and establishing appropriate human review and controls.

For others, the review may show that important prerequisites are still missing, for example, that relevant information is spread across several systems, historical case data is difficult to access, or there is no clear process for testing and monitoring AI-generated output. In those cases, these gaps become part of the action plan before implementation begins.

What you get

The review delivers prioritised use cases with recommendations on which to pursue and why, alongside an action plan to address gaps and how to move forward. This gives your team a concrete basis for deciding where to invest time and resources.