Document Processing Automation

It is a service that reads invoices, orders, contracts or forms, extracts the fields you need, applies your business rules, and updates your systems without staff retyping data. We start with one document type, agree the fields and approval points, build the capture and routing, then test it against real documents before launch. Every record is logged so you can audit what happened. Most clients see a working first version within four to eight weeks depending on document complexity.

Common starting points are invoices, purchase orders, contracts, claims and shipping documents, chosen because they are high volume and repetitive. We agree the fields for each document type and set a confidence threshold, so the system handles routine cases and only sends unclear ones to a person. Starting with one document type keeps the project focused and lets you measure cycle time and error rate before adding more types.

The document goes to an exception queue along with the original file and the reason it was flagged, so a person can review and correct it in minutes. This keeps errors from reaching your systems while still processing the majority of documents automatically. Over time we track the exception rate and adjust the rules or capture settings to reduce how often documents need manual review.

Most clients see a working pilot on one document type within four to eight weeks, once we have sample documents, the target system access and an approval owner. We need at least a few hundred example documents to test accuracy, plus a clear description of the business rules for approval and exceptions. The pilot is measured on cycle time, manual touches and error rate before we expand to more document types.

A generic OCR tool extracts text but leaves you to build rules, routing, exception handling and system updates yourself. Document processing automation includes all of that as one service: field capture, business rules, an exception queue for unclear cases, and audited updates to your systems. This means your team gets a finished workflow rather than raw extracted text to process further. Cost per document and cycle time are tracked so you can see the ongoing return.