Normalized claim
Time: 30-40% decrease
Reduced underwriter turnaround time by 30-40%.
Last evidence check: Jun 1, 2026
Insurance Giant Automates Underwriting for Faster, More Accurate Risk Assessment
Use case typeRisk assessmentUpdated Jun 13, 2026
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
Time: −30–40%
Time & speed
Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Global Insurance Leader
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- xduce.com
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
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
- 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.
Technologies
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.
Sources & evidence1
Evidence: Medium60/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jun 1, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: Case StudyPublished: May 2, 2024Publisher: xduce.comEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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