Normalized claim
Manual document processing time: 75% decrease
Reducing weeks of work to days
Shift Technology Uses Microsoft Azure OpenAI for AI-Powered Insurance Claims Fraud Detection and Automation
Use case typeClaims automationUpdated Jun 6, 2025
Shift Technology integrated Azure OpenAI and Azure AI services to develop generative AI capabilities for fast, accurate insurance decisions and document processing automation. They use machine learning-based OCR for document classification and data extraction, container and serverless architecture for scalable AI workloads, and maintain strict data security and compliance. The implementation reduced weeks of manual document processing to days, improved claims fraud detection accuracy, accelerated AI innovation and deployments, and enhanced transparency and compliance for clients.
- Organization
- Shift Technology
- Industry
- Insurance
- Location
- United States
- Published
- June 2025
Reported outcomes
−75%
manual document processing timeTime & speed
Strategic outcomes
Cost efficiencyAutomated claims document processingRisk & complianceImproved transparency and compliance for insurers
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
- Shift Technology
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Shift Technology
The company needed to automate fraud detection and claims processing to improve operational efficiency and customer experience
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Claims automation
- 2Fraud detection
- 3Document processing automation
The company needed to automate fraud detection and claims processing to improve operational efficiency and customer experience.
- Shift Technology integrated Azure OpenAI Service, Azure AI Foundry, Azure AI Vision, Azure AI Document Intelligence, Azure Kubernetes Service, Azure Service Bus, Azure Container Apps, and Azure Functions.
- It used machine learning-based OCR, prompt engineering, prompt fine-tuning, and cloud-native deployment patterns to process unstructured insurance documents and provide faster decisions.
- Reduced weeks of manual document processing to days.
- Improved claims fraud detection accuracy.
- Accelerated AI innovation and deployments.
- Enhanced transparency and compliance for clients.
Architecture
Shift Technology standardized its platform on Azure and uses Azure OpenAI Service within Azure AI Foundry to develop generative AI capabilities, Azure AI Vision and Azure AI Document Intelligence for OCR and layout detection, AKS for container deployments, and Azure Service Bus, Azure Container Apps, and Azure Functions for eventing, container deployment, and focused serverless workloads.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Case StudyPublished: Jun 6, 2025Publisher: Shift TechnologyEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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