LLM Integration into Car Claim Processing
We transformed the manual insurance claim process into a fully AI-automated pipeline using large language models and computer vision, significantly reducing processing time and cost.
01 The Challenge
Our client faced an overwhelming volume of car insurance claims, each requiring manual inspection of damage photos, policy documents, and repair estimates. The process was slow, error-prone, and expensive — taking days per claim and requiring a team of specialized adjusters.
02 Our Solution
We built a fully automated claim processing pipeline powered by large language models and computer vision. The system automatically extracts information from uploaded documents, analyzes damage photos to assess severity and estimate repair costs, cross-references policy terms, and generates a structured claim summary with a recommended payout amount — all within minutes.
03 Tech Stack
04 Results
Claim processing time reduced from 3 days to under 2 hours. Accuracy of damage assessment improved by 40% compared to manual review. The system now handles 95% of standard claims fully autonomously, freeing adjusters to focus on complex edge cases.