The Challenge
DataD, a modern insurance provider, was struggling with rising claim volumes and slow manual reviews. It took an average of 14 days to settle a claim, leading to customer dissatisfaction. Additionally, undetected fraudulent claims were bleeding revenue. They needed a way to automate routine claims while flagging high-risk cases for human review.
Our Solution
We developed a comprehensive AI Claim Engine integrating Computer Vision and NLP.
Computer Vision
Automated analysis of damage photos for vehicle and property claims, estimating repair costs with high precision.
Fraud Detection
An ML model trained on historical fraud patterns analyzes claim metadata and user behavior to flag suspicious activities.
Instant Settlement
Straight-through processing for low-risk, low-value claims, allowing instant payout to customers' bank accounts.
The Outcome
The claim lifecycle plummeted from 2 weeks to under 5 minutes for eligible claims. Customer retention scores increased by 40%, and the fraud detection module saved the company millions in its first year of operation.