Document AI & OCR
Invoices and contracts read into your systems automatically, with uncertain fields flagged for a person rather than guessed at silently.
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The work this removes
Somebody, usually in accounts payable, opens a PDF, reads the supplier, the invoice number, the date, the net, the VAT and the total, then types them into the ERP. Perhaps two minutes per invoice. At four hundred invoices a month that is a meaningful share of a person's time spent transcribing, with a predictable error rate because it is dull work. Document AI does the reading. The person does the checking, which is faster and considerably less tedious, and their attention goes to the invoices that actually need it rather than being spread evenly across all of them.
Confidence, not blind trust
Every extracted field comes with a confidence score. High confidence flows straight through; anything below a threshold you set is queued for review, with the original document beside the extracted values so checking takes seconds. That threshold is a business decision, not a technical one. Some companies want everything reviewed for the first month and then relax it as the evidence accumulates. Others straight-through-process small amounts from known suppliers and review the rest. We build for whichever you choose, and the system reports its own accuracy so the decision is informed.
Beyond invoices
The same approach handles delivery notes matched against purchase orders, contracts with key terms and renewal dates extracted into a register, forms arriving by email, identity documents for onboarding, and receipts for expense claims. Anywhere information arrives as a document and leaves as typed data, the same pattern applies. We usually start with the highest-volume document because that is where the case is clearest and the accuracy evidence accumulates fastest.
What you get
Reads the fields that matter
Supplier, number, date, net, VAT, total and line items, from PDFs, scans and photographs.
Confidence scoring
High confidence flows through, uncertain fields queue for review. Nothing is silently guessed.
Review takes seconds
The original document beside the extracted values, so checking is a glance rather than a re-read.
Posts into Business Central
Straight into the ERP as a draft document for approval, not exported to a spreadsheet for retyping.
Three-way matching
Invoice against purchase order against goods receipt, with discrepancies raised rather than absorbed.
Reports its own accuracy
So you can relax the review threshold on evidence rather than on hope.
Technologies
Frequently asked questions
How accurate is it?
For structured documents like invoices, high on the standard fields, lower on line item detail and on poor-quality scans. That is precisely why confidence scoring and a review queue exist. The system tracks its own accuracy so you can see the real number for your documents rather than a vendor's.
Our suppliers all use different invoice layouts. Is that a problem?
No. Modern document AI is not template-based, so it does not need configuring per supplier. It reads the semantics of the document. Unusual or handwritten documents are where it struggles, and those route to review.
At what volume does this pay off?
Usually from a few hundred documents a month, though it depends on how much checking you will still do. Below that the licensing and setup rarely justify it, and we will say so. Above it, the case is normally straightforward.
Stop paying people to retype PDFs
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Location
Serbia