Optimizing actuarial models with sensitivity analysis is a powerful approach that enhances the accuracy and reliability of risk assessments, pricing, and reserving decisions. Sensitivity analysis essentially tests how changes in key input variables affect the output of an actuarial model. This insight allows actuaries to identify which assumptions or parameters have the greatest influence on results and to refine models accordingly. The process is not only about spotting vulnerabilities but also about improving confidence in model predictions by understanding their behavior under different scenarios.