Fortune 500 Insurer Optimizes Subrogation Recovery With Predictive Modeling

Published on: April 8, 2026
Posted on: April 8, 2026

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Fortune 500 Insurer Optimizes Subrogation Recovery With Predictive Modeling

Project Highlights

To improve its subrogation opportunity identification and reduce claims leakage, a Fortune 500 insurer developed a real-time predictive analytics model that integrated with its claims system.

Benefits

  • Automation of 20% of subrogation referrals
  • 9% reduction in subrogation recovery cycle
  • 12% higher rate of recovery for auto-referrals, ~$6M in savings
  • 6% greater likelihood of recovery for auto-referrals

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