claims_processing · finance · workflow
L'olivier Assurance uses Shift Technology's Force AI to automate claims fraud detection
L'olivier Assurance recognized it needed a new solution to fight claims fraud in order to continue offering competitive pricing and high levels of customer service.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Force detects suspicious claims
L'olivier automatically receives alerts from Force for potentially fraudulent claims.
Tools used
Force
Outcome
Force improved L'olivier's ability to detect fraud by reducing false positives and provided claims handlers with the right tools for investigations, reducing the time needed to conduct them.
Results
Time savedless than five months
Cost replacedreduce the time it takes
Grounding & classification
Source type: vendor customer story
17 fields verified against source quotes.
anomaly detectionfraud detectioninsurance claimhuman review describednamed customerproduction runtime claimedtools describedworkflow describedinsuranceaccuracy improvementcycle time reductionvendor customer storyclaims processingmonitor detect alert