Insurance Giant Automates Underwriting for Faster, More Accurate Risk Assessment
A leading global insurance company faced extensive manual workloads in Cyber Line of Business underwriting. Underwriters were required to assess risk for each submission without modern prioritization tools, resulting in inefficiencies and delayed turnaround. The company partnered with XDuce to develop an AI assistant built with Azure OpenAI Service, Cosmos DB, . NET 6.0, and React. This assistant automatically analyzes submissions for completeness, risk controls, and offers prioritized dashboards. The solution enhances visibility, automates initial risk assessments, and provides justifications for underwriter decisions. As a result, underwriter productivity increased and review turnaround time was reduced by 30–40%, enabling faster, more consistent decision-making.
- Organization
- Global Insurance Leader
- Industry
- Insurance
- Location
- United States
- Published
- May 2024
Reported outcomes
−40%
timeTime & speed
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Automated Risk Assessment for Insurance Underwriting
- 2Submission Prioritization with Generative AI
- 3Just-in-Time Underwriter Decision Support
- Manual, time-consuming risk assessment for Cyber Line of Business underwriting.
- Lack of submission prioritization for underwriters.
- Limited visibility into which submissions were highest priority or least risky.
- Developed an AI assistant using Azure OpenAI Service to analyze incoming underwriting submissions.
- Provided underwriters with initial assessments on completeness, appetite, and risk control effectiveness.
- Built front end with React JS and .NET 6.0, back end with Cosmos DB integrated with Azure OpenAI.
- Improved underwriter productivity.
- Enhanced visibility and submission prioritization.
- Reduced underwriter turnaround time by 30-40%.
Architecture
Solution utilizes React JS and .NET 6.0 on the front end, Cosmos DB for database, and Azure OpenAI Service for risk assessment automation; submissions analyzed by AI assistant and prioritized on a dashboard for underwriters.
Implementation partners1
Sources & evidence1
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- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
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