claims_processing · finance · workflow
AXA Switzerland detects insurance fraud in real time at first notice of loss using Shift Technology
AXA Switzerland needed to process claims quickly for customer satisfaction but faced the risk that accelerated handling would increase exposure to fraud — forcing a structural trade-off between speed and fraud prevention.
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 · FNOL triggers detection
A first notice of loss (FNOL) triggers real-time fraud detection analysis.
Tools used
Shift Claims Fraud Detection
Outcome
AXA Switzerland analyzed more than 1 million claims with Shift and stopped over €12M in fraud, freeing its teams to focus on customer satisfaction.
Results
Time savedseconds
Volumemore than 1 million
Cost replacedover €12M
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
anomaly detectionfraud detectionpredictive analyticsinsurance claimpolicy documenthuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedinsurancecost reductioncustomer satisfactioncycle time reductionthroughput increasevendor customer storyclaims processingcompliance monitoringextract classify routemonitor detect alert