Underwriting Data Extraction & Enrichment
Automate data gathering and risk scoring to accelerate underwriting decisions.
Solution Overview
Underwriters analyze financial statements, property surveys, medical histories, and third-party data to assess risk. Cray automates data extraction from submission documents, enrichment from external sources, and structured input to underwriting models.
The Manual Process Problem
Underwriting teams manually review broker submissions, extract risk data from documents, query external databases, and populate underwriting systems.
Cray's Automation Approach
AI extraction from broker submissions (financials, loss runs, schedules). Automated enrichment from credit bureaus, weather data, property databases. Structured output to underwriting workbench. Risk-scoring model pre-population.
Key Benefits
Automation Coverage
Target Clients
- Lloyd's of London
- Swiss Re
- Hannover Re
- Berkshire Hathaway Specialty
- Markel
Why Cray for Underwriting Data?
- 3+ years domain experience
- Deployment in 4–8 weeks
- ROI within 90 days
- 24/7 automated processing
- Enterprise security standards
Related Solutions
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