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CASE STUDY

Insurtech Startup Processes Claims 5x Faster with AI Automation

The Challenge

An insurtech startup needed to process insurance claims faster to compete with established players, but manual review processes were slow and expensive. They needed to scale without proportionally increasing headcount.

Our Approach

We built an AI-powered claims processing platform that automates document review, damage assessment, and fraud detection. The system uses computer vision and natural language processing to extract information and make initial decisions, with human review only for complex cases.

Developed computer vision models to assess damage from photos and videos

Built natural language processing system to extract information from claim documents

Created fraud detection algorithms that identify suspicious patterns

Designed automated workflow that routes simple claims for auto-approval

Implemented human-in-the-loop system for complex cases requiring expert review

Built comprehensive dashboard for claims adjusters to monitor and manage cases

Key Features

Automated document review and information extraction

AI-powered damage assessment from photos

Fraud detection and risk scoring

Automated claim routing and approval workflows

Claims adjuster dashboard and case management

Integration with insurance systems and databases

Impact & Results

Reduced average claims processing time from 5 days to 1 day

Increased claims processing capacity by 5x without additional staff

Improved fraud detection accuracy by 40% with AI-powered analysis

Reduced operational costs by 35% through automation

Improved customer satisfaction with faster claim resolution

Technologies & Capabilities

AI/MLComputer VisionNatural Language ProcessingDocument ProcessingFraud DetectionWorkflow AutomationClaims Management

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