Optimize retention levels and reinsurance program structures. Models financial impact across multiple retention scenarios.
Insurers struggle to determine optimal retention levels and reinsurance program structures. Manual analysis of multiple scenarios takes weeks, leading to suboptimal programs that waste capital or leave excessive risk retained.
AI-powered retention optimization that models thousands of scenarios across different retention levels, program structures, and reinsurance costs. Provides recommendations that maximize return on capital while meeting risk appetite constraints.
Model 1,000+ scenarios in hours vs. weeks
Optimize capital efficiency by 20-30%
Balance risk transfer cost vs. volatility reduction
Compare proportional vs. excess structures
Board-ready optimization reports
Annual reinsurance program optimization
New line of business retention analysis
Capital efficiency improvement projects
Risk appetite calibration and testing
Real-time pricing for parametric and standard CAT XoL structures. Integrates with catastrophe models and historical loss data.
Model capital requirements under multiple regulatory frameworks. Optimizes capital allocation across business units and geographies.
Analyze and price retrocessional coverage structures. Optimizes reinsurer protection programs and capital relief strategies.