Case Study: Finom achieves stronger cross-border AML transaction monitoring with Resistant AI

A Resistant AI Case Study

Preview of the Finom Case Study

Cross-border AML transaction monitoring with Finom

Finom, a payments, electronic invoice, expense management, and account integration provider operating across Germany, France, Italy, Belgium, and the Netherlands, needed a better way to monitor AML transactions as it expanded across borders. Its rules-based system generated too many false positives because activity that looked suspicious in one country could be normal in another, and the team needed a single, tailor-made monitoring setup that could work with its in-house system. Resistant AI’s transactions product was brought in to help address these cross-border AML challenges.

Resistant AI integrated its transaction monitoring overlay into Finom’s existing system, using statistical anomaly detection and explainable alerts to surface genuinely unusual behavior without replacing the current workflow. The result was faster, more confident investigations, with analysts able to focus on higher-priority cases and auditors receiving clearer explanations. In just two months after deployment, the number of deployed detectors grew from 16 to 28, and Finom said the solution helped improve both oversight and adaptability as it launched in new countries.


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Finom

Kseniia Kutyreva

Head of Risk & Compliance


Resistant AI

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