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Back-office automation with OCR and AI

Supplier invoices keyed into AP, bills of lading keyed into receiving, emailed purchase orders keyed into order entry. We read them with OCR and AI, match them to what your system expects, and put a person in front of the approve button.

The back office of an operations business is paper and email: invoices from suppliers, BOLs from carriers, POs from customers who will not use a portal. Someone types each one. Automation here is not a chatbot; it is reading documents correctly and letting a person approve the result in seconds instead of typing it in minutes.

We run exactly this in production: an OCR pipeline that makes scans searchable, a rules engine that files and labels them with a preview before it acts, and an AI-assisted desk where agents draft and people send. The same parts build your automation.

What we build

Read, match, approve, post.

AP invoice capture

Supplier invoices read, matched to the PO and receipt, and queued for approval with the exceptions flagged.

BOL and packing slip capture

Receiving documents read into the receipt, quantities compared to the PO, shortages flagged.

Emailed PO intake

Customer POs from email and PDF read into draft orders for a CSR to approve.

A person approves

Nothing posts without a click. Confidence scores, side-by-side view, one-key approve or correct.

Filing and retention

Every document kept, searchable, labelled and expired by rule.

Audit trail

Who approved what, when, and what the machine read versus what was posted.

How it runs

Start with one document type.

Assess

2 weeks · $4,500

Which documents, how many a week, and where they go.

Pilot one type

3–4 weeks

Usually supplier invoices. Read, match and approve beside the manual process.

Tune and extend

2–4 weeks

Rules for your suppliers and formats, then the next document type.

Run

monthly

Monitoring, exception handling, and a care plan for new formats.

Common questions

Before you book.

How accurate is it?

Accurate enough that approving is faster than typing, and never trusted enough to post on its own. A person approves every document, and the ones the machine is unsure of are flagged first.

Where do our documents go?

They stay in your database, on your servers or ours in the US. Extraction can run entirely in-process, without sending documents to a third-party AI service, when that matters to you.

Which document should we start with?

Supplier invoices almost always: high volume, consistent format per supplier, and a clear match to a PO. The pilot proves the approach in a month.

Count the invoices someone typed last week.

Thirty minutes, no obligation. We reply within one business day.