Case Study: Fortune 500 Financial Services Group reduces underwriting search time with Skan.ai

Leading Insurer Selects the Best LLM for Underwriting with Skan

Fortune 500 Financial Services Group, a leading property and casualty insurer, wanted to reduce the time claims underwriters spent searching internal and external databases for statistics, metrics, and knowledge. The company turned to Skan.ai and its Process Intelligence Platform to evaluate whether large language models could replace traditional search and better support underwriting workflows.

Using Skan.ai, the insurer ran A/B tests across multiple LLMs, established a baseline for underwriting performance, and analyzed end-to-end case journeys with clickstream data and SME reviews to assess accuracy and fit by case type and complexity. The effort helped the client identify the best models for specific use cases, cut search query time by 55%, and deliver about $10M in annual savings, while also reducing overall processing time by 10%.