Case Study

DACH Top 5 insurer
boosts recoveries
And reduces leakage

A top 5 DACH insurer improved its combined ratio and achieved measurable savings within the first quarter of deployment by identifying missed subrogation opportunities, preventing overpayment, and optimizing supplier selection with omni:us Leakage Reduction.

Our Measured Impact

Recovery Boost

0 %

increase in recovery rate

Lower Cost Per Claim

0 %

fewer expert reports commissioned

plus 55% reduction in third-party invoice checks

P&C Expenditure

0 %

reduction in P&C expenditure

via automated coverage checks

The Insurer's Challenge

Significant leakage due to overpayment, missed subrogation opportunities & inefficient supplier use
Reliance on manual processes to detect coverage exclusions and recovery potential
Static supplier selection models that did not account for claim context
Leadership required a solution that could deliver measurable ROI quickly without replatforming

Our Implemented Solution

Scan both open and closed claims for subrogation potential, overpayment risks and excluded repair items
Automated coverage checks to flag non-covered services before payment
Deployed AI-driven supplier selection to optimize expert and invoice review decisions
Integrated seamlessly with insurer’s core claims system for real-time detection and alerts

Why This Insurer Chose omni:us

Proven ability to find and recover hidden value in both live and historic claims
Multi-level leakage prevention — recovery, coverage, supplier optimization in one flow
Fast deployment into existing claims environments without disrupting operations
Insurance-native AI models trained on millions of claims for high detection accuracy

Key Takeaways

Quick wins are possible — insurer saw measurable savings within weeks
Leakage prevention is most effective when recovery, coverage, and supplier control work together
Embedding leakage detection into live workflows ensures sustained results

Start Saving This Quarter

We’ll scan your claims portfolio for recovery potential, overpayment risks, and supplier savings — and deliver a quantified ROI forecast within weeks.