Leap ahead with AI augmented risk decisions
Introducing AI Assistant
Emerging new frontiers
Capture unstructured data and augment risk assessment with AI
Unlocking the full potential of AI to enhance and augment high-impact and judgment-intensive risk decisioning has been a challenge within the life and health industry. The presence of unstructured medical records, manual inputs, fragmented data, and inconsistent standards throughout the underwriting and claims lifecycle in Life & Health insurance has hindered the ability to achieve more holistic, consistent, and expedited decision-making. However here the value potential is the highest, and with AI we can address many opportunities and challenges today.
With digital solutions
Reliable AI to assist human judgement for complex risk decisions
With our end-to-end underwriting and claims platform that embeds AI enhancements from the core up. Our clients are AI future ready and underwriters can access most relevant information more swiftly and accurately and human judgment can be augmented with AI-driven risk insights. We provide modular AI solutions for both automated and manual decision processes, which are seamlessly integrated into our platform on a unified data layer.
Introducing AI Assistant
A new form of automated intelligence for the art & science of risk
SCOR’s AI Assistant platform enables unparalleled data capture and reasoning of unstructured medical evidence with state-of-the-art Generative AI. It extracts complex information from multilingual, multi-market documents, ensuring precision through multiple validation layers. Users benefit from seamless document exploration and discussion, collaborative interpretation among teams, and rapid search capabilities across indexed documents. These features make AI Assistant an indispensable tool for revolutionizing the reinsurance process.
Extract, validate, and interpret complex medical data
- Extract complex information from various multilingual, multimarket reinsurance documents, including claims, treaties, amendments, and medical records.
- Apply logical reasoning to analyze and interpret the extracted information, ensuring comprehensive understanding.
- Interpret the analyzed data to derive meaningful insights and conclusions relevant to reinsurance operations.
- Validate the information by incorporating multiple referential checks and adding validation gate layers within the value chain.

Explore hidden details and collaborate in new ways
- Explore selected documents to ensure accuracy and relevance through detailed discussions and reviews
- Collaborate with cross-functional teams to interpret and annotate documents, fostering a shared understanding and consistency

Search in medical records
Utilize advanced search capabilities across all indexed contractual documents to quickly locate pertinent information.

READY FOR
DIGITAL SOLUTIONS?
We operate worldwide with
dedicated teams that you can reach directly.