Subrogation is the process of recovering costs from third parties responsible for insurance claims, represents a significant yet underutilized opportunity for insurers. Despite its potential to recover billions annually and improve profitability, subrogation often suffers from inefficiencies such as delayed identification, manual document handling, and inconsistent liability decisions. 

The whitepaper positions subrogation as a strategic business lever and highlights how technology, particularly GenAI, can transform this traditionally manual process into a proactive, data-driven function.

GenAI enables insurers to address key pain points across the subrogation lifecycle. From early opportunity detection at First Notice of Loss (FNOL) to complex liability assessments, automated demand letter drafting, and litigation support, GenAI accelerates workflows and enhances accuracy. It also uncovers hidden recovery opportunities in PIP/MedPay claims, prioritizes high-value cases and assists junior adjusters with real-time guidance. By leveraging advanced NLP, predictive analytics, and automation, insurers can reduce cycle times, cut costs, and maximize recoveries—ultimately driving operational efficiency and superior customer experiences.