Case Study: Jewelers Mutual achieves more competitive insurance rates and stronger customer relationships with H2O.ai Driverless AI

AI Improves Overall Business Relationships for Jewelers Mutual

Jewelers Mutual Insurance Company, a long‑standing provider of insurance for jewelers and consumers in the US and Canada, faced the need to invest in analytics and gain greater transparency into its machine learning models after experimenting with Gradient Boosting and other AutoML tools. To improve pricing, loss prevention, and customer experience while obtaining explainability, they selected H2O.ai and deployed H2O-3 and H2O Driverless AI.

H2O.ai’s Driverless AI delivered model interpretability, reason codes for underwriters, and automatic deployment (MOJOs), with insights surfaced via a web app that helped business stakeholders and data scientists trust and act on results. The solution enabled more competitive insurance rates, improved underwriting and claims processes, and practical loss‑prevention actions—such as identifying jewelers who needed extra security during California wildfires—while speeding model deployment and driving measurable business and customer relationship improvements.

Jewelers Mutual Insurance Company

Andrew Langsner

Senior Manager, Embedded Analytics