SCOR
AI Assistant for underwriting and claims document extraction
SCOR reported 30% time savings in medical underwriting with AI Assistant
Problem
SCOR's underwriters needed to extract information from lengthy and complex documents, including handwritten material. The work supported risk assessments and claims decisions.
Approach
SCOR built a cloud-based generative AI system to extract key document information. A medical-underwriting pilot began in 2024 before wider internal use. Human experts retained final risk decisions.
Results
Takeaway
SCOR automated document extraction while retaining expert judgment. It did not explain how it measured the reported time savings.
Categories
- Industry
- Finance and insurance
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
SCOR described its proprietary document-extraction assistant and expansion from a pilot. It reported 30% medical-underwriting time savings and daily use by more than 150 experts.
Full details are in the original sources.