The expensive part is everything after scanning.
A scanner can turn paper into images quickly. Staff still have to identify what each page is, decide which pages belong together, check for missing forms, name the files, and put them where someone else can find them.
I build around that real sequence of work. The repeatable steps can move quickly, while uncertain pages and incomplete records are held for review.
Where document automation helps
- Separating mixed scans into individual documents.
- Using OCR as evidence for document identification.
- Applying filenames from known fields and business rules.
- Checking folders for missing, duplicate, or incomplete records.
- Sending low-confidence items to a review queue.
- Tracking which required documents are present or still expected.
Automation should stop when confidence drops.
A wrong filename can be harder to find than an unnamed file. I would rather flag an uncertain result than let the software make a quiet guess that creates cleanup later.
A working example
filepackR grew out of this problem. It is an on-device application for turning mixed paper stacks into organized digital records while preserving a clear place for staff review.
Have a scanning process that still ends in manual sorting?
Tell me what arrives on paper, what the finished files should look like, and which decisions require review.