Client
US B2B services company
Challenge
Their operations team spent hours each day classifying inbound documents, extracting data, and routing them to the right person — a key bottleneck on growth.
Our solution
We built an AI pipeline that parses inbound documents, extracts structured fields, classifies intent, and routes to the right queue with a human-in-the-loop step for low-confidence cases.
Features delivered
- Document parsing and OCR
- LLM classification with confidence scoring
- Human review queue for edge cases
- Reporting on accuracy and throughput
Impact
- Reclaimed 1,800+ hours of manual work per quarter
- Document turnaround time down 76%
- Classification accuracy stabilized at 96%+