AI & data

Claims decision benchmarking

Claims decision benchmarking compares an adjuster’s or team’s decisions against a reference, whether the team’s own best practice, precedent, or a validated model, to find where calls drift and where to target training and process fixes.

Instead of measuring speed or volume, it measures the quality of the decision: how a split, reserve or coverage call compares to how it should have been made.

Why it matters

You can only improve decisions you can measure. Benchmarking turns decision quality from an opinion into a number you can manage.

In Mysa

Mysa backtests on your closed claims first, so you can see how it would have decided before it touches a live one, and benchmark against your own book.

See it on Mysa