Case 01Health insurance
Triage
From stalled pilot to 96% accuracy in production
From 53% to 96%
Classification accuracy
- 6,000+ hrs/yrManual triage eliminated
- €175k/yrNet benefit
The problem
Customer emails and cases landed in shared queues, and staff read every one to decide where it should go. An AI triage project meant to fix this had stalled at 53% accuracy. Nobody trusted it enough to switch it on.
What we built
We rebuilt the triage. Rules handle the clear-cut cases, AI handles the grey areas, and anything uncertain goes to a person.
How it was measured
Before: the stalled pilot's own accuracy, 53%. After: accuracy in production, 96%. Hours saved are the manual triage time removed over a year.
- 01IntakeEmails and cases
- 02RulesClear-cut cases routed
- 03AI classifierGrey areas, read in context
- 04Confidence checkDoubtful items to a person
- 05Right teamRouted to resolve