A brittle extraction tool that only worked on clean documents.
The operations team had built a document extraction prototype that worked well on standard forms. But real-world documents arrived crumpled, rotated, partially filled, and in dozens of formats the prototype had never seen.
Every edge case required manual intervention, and the team spent more time fixing extraction errors than doing the analysis the extracted data was meant to enable.
We built an extraction pipeline that handles the mess.
We rebuilt the extraction layer with robust preprocessing, multi-format parsing, and confidence scoring on every field. Documents that fell below the confidence threshold were routed to human review with the uncertain fields highlighted.
We built an evaluation suite from 500 real production documents, covering every format and edge case the team had encountered. The suite runs on every change and catches regressions before they reach production.
Analysts spend their time on analysis, not data entry.
The extraction pipeline now handles the full volume of incoming documents with minimal human intervention. Throughput per analyst increased ninefold because they review only the flagged exceptions.
The evaluation suite gives the team confidence to iterate: they can adjust extraction logic, test against real documents, and ship improvements on their own schedule.
“We went from dreading the Monday document pile to barely thinking about it. The system handles the volume and we handle the exceptions.”