Case Study: L’olivier Assurance reduces fraud investigation times and false positives with Shift Technology's Claims Fraud Detection

A Shift Technology Case Study

Preview of the L’olivier Assurance Case Study

L’olivier Assurance - Customer Case Study

L’olivier Assurance, a French online auto insurer and subsidiary of Admiral, needed to combat claims fraud so policyholders would pay a fair, competitive price. To improve detection and prevent fraud-related cost inflation, L’olivier selected Shift Technology’s Shift Claims Fraud Detection to provide industry-specific, AI-driven fraud screening.

Shift Technology worked with L’olivier’s claims teams to consolidate structured and unstructured data (including external sources like weather), build AI-native fraud models, and deploy Shift Claims Fraud Detection in five months. The solution delivers daily alerts with reasons for suspicion, processes over 30,000 claims per year, reduces investigation time, lowers false positives, and helps avoid payments on fraudulent claims.


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L’olivier Assurance

Janny Druon

Head of Claims Analytics


Shift Technology

16 Case Studies