Case Study: a large U.S. auto insurance company achieves 99% FNOL processing automation with super.AI

Automating FNOL Report Processing for a Large U.S. Auto Insurance Company

A large U.S. auto insurance company faced challenges in its claims processing due to the manual and error-prone task of extracting data from First Notice of Loss (FNOL) reports. The high volume and variability of these documents made automation difficult. After unsuccessful experiments with in-house and third-party solutions, the company turned to super.AI for its Intelligent Document Processing (IDP) service to reduce errors, cut costs, and speed up processing.

The solution implemented by super.AI leveraged a combination of AI and a data processing crowd to achieve highly accurate data extraction. This resulted in a 98% reduction in errors and enabled the automation of over 99% of FNOL reports in under four weeks. The super.AI solution processed over 34,000 documents daily, leading to more than $25 million in cost savings and a rapid time to value, with data processing beginning just 2.5 weeks after project kickoff.