UK Government publishes Deeploy × Bunq as AI governance case study
The UK Department for Science, Innovation and Technology published Deeploy and neobank Bunq as a reference case for transparent AI governance in anti-money laundering applications.
Original publication (UK government): DSIT — Deeploy: ensuring transparency and good governance in anti-money laundering and other high-risk applications
In December 2023, the UK Department for Science, Innovation and Technology published a case study on Deeploy and Dutch neobank Bunq as a reference example of responsible AI governance in practice.
The case study highlights how Bunq uses Deeploy’s MLOps platform to make AI-driven transaction monitoring transparent, explainable and auditable — with a human in the loop for every flagged transaction. Key outcomes included improved model accuracy through expert feedback loops, full explainability for compliance teams, and clear accountability for every AI decision.
Deeploy, co-founded by Bastiaan van de Rakt, Tim Kleinloog, Maarten Stolk and Nick Jetten, was selected as a showcase for how European AI governance standards can be implemented in high-risk financial applications.
The publication by the UK government is a strong validation of Deeploy’s approach: AI that is not only powerful, but transparent and controllable by design.