MicrosoftLive source
Shift Technology revolutionizes insurance fraud detection
Use case typeClaims automationUpdated Jun 13, 2026
Shift Technology has implemented Azure OpenAI models to redefine the detection of claims fraud for insurers. Their solution improves operational efficiency, reduces fraud-related losses, and enhances user experience across the insurance lifecycle.
- Organization
- Shift Technology
- Industry
- Insurance
- Location
- France
- Published
- April 2025
Reported outcomes
−75%
quantified impactRisk, reliability & safety
+30%accuracy
Strategic outcomes
Risk & complianceReduced fraud-related lossesBetter decisions & insightImproved fraud detection accuracySpeed & agilityFaster claims processingCustomer experience & trustImproved insurer and policyholder experience
Catalog median for risk, reliability & safety deployments: −63% across 24 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 5
- 1AI-Powered Claims Fraud Detection
- 2Automated Claims Triage and Assessment
- 3Real-Time Risk Scoring for Submitted Claims
- High volume of fraudulent insurance claims impacting profitability
- Manual fraud detection processes are time-consuming and error-prone
- Difficulty in quickly adapting to evolving fraud schemes
- Insurers face operational inefficiencies across the claims lifecycle
- Implemented Azure OpenAI models for advanced fraud pattern recognition
- Automated claims analysis using AI-driven insights
- Integrated fraud detection across the entire insurance claims lifecycle
- Enabled insurers to rapidly deploy and scale fraud detection capabilities
Technologies
- Reduced fraud-related losses for insurers by up to 75%
- Increased detection accuracy of fraudulent claims by over 30%
- Enhanced operational efficiency and reduced claims processing time
- Improved user experience for both insurers and policyholders
Sources & evidence2
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/2 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Groundedness: Unavailable
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