four days to under eight hours: a claims case study
an anonymized ai claims case study: a 60-person logistics team cut average claim turnaround from 4 days to under 8 hours, a human signing off on each one.
this post. one anonymized result from an ops team we built for. average claim turnaround went from 4 days to under 8 hours. a human still signs off on every claim.
the buyer here is an operations lead at a 60-person logistics company. claims were the bottleneck. a claim landed by email, sat in a queue, got copied across 3 spreadsheets, and waited on 2 manual review steps before anyone approved it. average turnaround was 4 days.
we shipped a pipeline that reads the claim, checks it against the rules, and routes it to a person to approve. average turnaround is now under 8 hours. this post shows what changed for the ops team, not how we wired it. the build maps to the document-processing use-case at /ai-for/operations.
what actually changed for the ops team?
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