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AirOxa

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Case Study
Fintech & BFSI

AI-Powered Claims Processing for a Leading Insurance Firm

Client: Fortune 500 Insurance Provider
78%
Faster Claims Processing
$4.2M
Annual Cost Savings
94%
Accuracy in Damage Assessment
62%
Reduction in Fraudulent Claims
The Challenge

The client processed 50,000+ insurance claims monthly with manual review workflows, leading to 12-day average turnaround times, high operational costs, and frequent errors in damage assessment.

Our Solution

We built an end-to-end AI claims processing pipeline combining Computer Vision for damage assessment, NLP for document extraction, and a custom ML model for fraud detection — integrated with their existing CRM and policy management systems.

Computer VisionNLPFraud DetectionInsurance

“AirOxa transformed our claims process from a 12-day bottleneck into a near-real-time operation. The ROI was evident within the first quarter.”

David Chen
VP of Operations, Fortune 500 Insurance Provider

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