The challenge
A Fortune 500 insurance company processed 85,000 monthly claims with a team of 340 people. Average resolution time was 14 days, with a 23% classification error rate and average cost of $180 per claim.
The solution
We implemented an AI pipeline that automatically classifies, prioritizes, and processes claims using computer vision for document analysis, NLP for information extraction, and real-time ML fraud detection.