claims_processing · finance · workflow
Trygg-Hansa reduces home insurance claims processing time by 95% with generative AI and digital workers
A new team assigned to process home insurance claims was uncertain how to work efficiently, causing delays in paying customers who needed rapid reimbursement for damaged personal devices.
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 · Customer submits claim
When customers submit claims after an adverse experience, they want a rapid and uncomplicated response.
Tools used
SS&C Blue Prismgenerative AImachine learning (ML)
Outcome
Claims processing time was reduced by 95% for fast-tracked claims and CSAT rose by 7%. Employees can now give real-time updates to customers who call in, and digital workers have recovered millions of euros in claims that another insurer should have paid.
Results
Time saved95%
Volume7%
Cost replacedmillions of euros
Running sincenearly ten years ago
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
document classificationfraud detectioninsurance claimhuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedinsurancecustomer satisfactioncycle time reductionvendor customer storyback office opsclaims processingautonomous resolutionescalation workflowextract classify route