Automated Document Processing with AI
A Swiss mid-market company processed thousands of incoming documents per month — invoices, contracts, delivery notes — manually by a clerical team. We designed an AI pipeline for classification and data extraction, evaluated vendors, and accompanied the rollout.
Starting point
Heavy manual workload on document intake, multi-day turnaround per document, error rates from typos and transfer losses between systems. Compliance required traceable processing with audit trail.
Our advisory
Requirements document defining OCR quality, LLM-based field extraction, human-in-the-loop validation for low-confidence outputs. Three-vendor evaluation, contract negotiation support, technical architecture reviews during implementation. Build-up of internal champions for day-to-day operations.
Outcome
Manual document-classification effort reduced by over 70 percent. Per-document turnaround dropped from days to hours. Audit-compliant processing with explainable AI decisions. The company runs the system independently today — our role is reduced to annual architecture reviews.