
See how Bunq replaced rule-based monitoring with AI to detect more criminal behaviour, speed up case handling, and stay fully compliant with the EU AI Act.
Bunq is one of Europe’s fastest-growing challenger banks, offering millions of customers a transparent, tech-driven, and customer-first banking experience. To strengthen its defences against financial crime, Bunq turned to AI-powered transaction monitoring to replace outdated, rule-based systems.
Bunq adopts Deeploy as the governance layer for AI-driven transaction monitoring. From one centralised platform, all models are deployed and monitored. Built-in explainability shows investigators why transactions are flagged, restoring trust in AI.
Compliance officers can review and refine AI decisions in real time, while Deeploy automatically creates audit trails and documentation ensuring every model stays aligned with the EU AI Act.
By connecting development and compliance teams, Bunq improves models continuously while ensuring transparency and strong regulatory oversight.
With Deeploy, Bunq transforms its transaction monitoring process. False positives drop by 63%, reducing unnecessary manual investigations. Case handling becomes 56% faster, thanks to explainability and investigator-friendly tools. AI maintenance costs fall by 30% as governance and feedback loops streamline operations. Most importantly, compliance is built in every decision is documented, auditable, and aligned with regulatory standards and EU AI Act.

For Bunq, Deeploy is not just a technical layer it acts as a compliance safeguard. By ensuring transparency, observability, and alignment between development and compliance, Deeploy enables Bunq to innovate responsibly while protecting customers and meeting regulatory requirements.
Build audit-ready AI governance from day one