Case Study: Folksam achieves more efficient fraud detection and investigations with FRISS

A FRISS Case Study

Preview of the Folksam Case Study

Fighting fraud more effective and efficient in both the claims and investigation processes

Folksam, one of Sweden’s largest insurers with over 4.5 million customers and around 1 million claims a year, wanted to reduce the estimated 5–10% of claims that may be fraudulent. Although its combined ratio was not under pressure, the company needed a more effective way to identify suspicious motor and property claims while maintaining customer satisfaction and fast claims handling. To address this, Folksam selected FRISS and its Claims | Fraud Detection solution.

FRISS implemented fraud detection at claims, supported by the FRISS® Score, learning cycle, integrated case management, and analytics capabilities. The solution helps Folksam continuously identify suspicious claims, reduce false positives, and streamline investigations with shared case information. Once fully implemented, Folksam expects FRISS to help deliver 15–20% more cases for investigation, improving both fraud detection and investigation productivity.


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Folksam

Klas Beskow

Head of Investigations


FRISS

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