Case Study: a major insurer achieves 95% faster claims processing with Hugo

a major insurer cuts claims turnaround by 95% with Hugo

A major U.S. Property and Casualty insurer faced a slow, manual, and inconsistent claims process that was causing delays and declining customer satisfaction. Their challenge was to build a compliant agentic AI system capable of autonomously handling claims, requiring a partner with deep expertise in regulatory standards and complex data. They partnered with Hugo for its AI training services to develop this system.

Hugo assembled a team of insurance specialists to train the AI agent through a rapid iteration framework, teaching it to validate claims, extract data, verify evidence, and make contextual decisions. The solution implemented by Hugo resulted in an AI system that now autonomously processes over 10,000 claims per month with a 95% faster turnaround time, bringing consistency and freeing human adjusters for more complex cases.