Claims consistency analytics
Claims consistency analytics measures whether similar claims are decided the same way across adjusters, teams and time. It surfaces the variation in decisions that drives leakage and disputes, which averages tend to hide.
Two handlers can reach opposite conclusions on the same type of claim with no record of why. Consistency analytics compares decisions against precedent and against each other to show that spread.
Why it matters
Inconsistent decisions are both a leakage problem and a fairness one. The variation has to be visible before it can be closed, and analytics is what makes it visible.
In Mysa
Because Mysa scores each decision against how your book has decided before, drift from precedent is flagged on the claim and visible across the team.
See it on Mysa