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FranceFinance and insurance2024 – ongoing

SCOR

AI Assistant for underwriting and claims document extraction

SCOR reported 30% time savings in medical underwriting with AI Assistant

WorkingCompany's own claimOfficial ↗

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

30%time savings in Life & Health medical underwriting, reported by SCORCompany's own claim[1]
more than 150underwriting and claims experts using AI Assistant daily, reported by SCORCompany's own claim[1]

Takeaway

SCOR automated document extraction while retaining expert judgment. It did not explain how it measured the reported time savings.

Categories

Business function
Finance, risk and legal
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Company's own claim

Sources

Source summaries

[1]SCOR2 Jul 2025

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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