Retyping a document into a system is the purest kind of wasted hour: nothing is decided, nothing is improved, and a typo costs more than the hour did.
Who is automated document processing for?
- Finance teams keying invoices into bookkeeping by hand
- Anyone processing intake forms, contracts or delivery notes at volume
- Offices where the scanner output ends up being read twice
How does AI process an invoice or a form?
- 01
It handles the formats you actually get
PDFs, scans, photographs taken at an angle, and the supplier who has changed their layout twice this year. Structure comes out; the original stays attached.
- 02
It checks itself against what it knows
Totals against lines, a supplier against your records, a number against the order it refers to. Mismatches are flagged, not smoothed over.
- 03
Unsure means unsure
Anything it cannot read confidently goes into a review queue with the field highlighted, rather than a plausible guess landing in your bookkeeping.
- 04
It lands where the work already is
Your bookkeeping, your CRM, your folders. The point is that nobody has to open a second tool to finish the job.
Document processing with AI or plain OCR?
OCR turns a scan into text, but does not know which number is the invoice total. Per-supplier templates break as soon as a supplier changes its layout. AI can pull out the fields even when layouts differ per supplier, check them against your records and set aside what is uncertain for review. That way, processing invoices becomes checking instead of retyping.
What do you decide about review?
- The confidence level below which a document must be reviewed
- Who may approve a flagged document, and who may not
- How long the originals and the extracted data are kept
- Whether anything is ever posted without a person seeing it
How do you start with document processing?
We run it alongside the manual process first, on documents you have already handled, so the comparison is real before anyone stops doing it by hand.