The Challenge
DataD, a modern insurtech, needed to reduce their Claims Adjustment Expense (CAE). The manual process of inspecting damaged vehicles, checking policy details, and estimating repair costs was slow (7-10 days) and prone to human error.
Our Solution
We built a mobile-first "Snap & Claim" app backed by a sophisticated AI backend.
- Computer Vision: Trained a custom model on millions of images of car accidents to identify damage severity and affected parts (bumper, fender, headlights).
- NLP Integration: Used Natural Language Processing to parse the user's written description of the accident and cross-reference it with the visual evidence.
- Rule Engine: If the AI confidence score is >95% and the estimated cost is <$2000, the claim is auto-approved and paid out instantly.
The Outcome
The system revolutionized their customer experience. Getting paid in minutes instead of weeks became their primary marketing differentiator.
Key Metrics
- 60% Of claims now fully automated.
- 90% Reduction in processing time.
- 5/5 Customer satisfaction rating on App Store.