Invoice processing on autopilot:
read, check, post, chase
An accounts team keying in invoice line items by hand is the single most common finance bottleneck we see. We build an agent that reads invoices from email and upload folders, extracts line items, matches them to purchase orders, and posts clean ones straight to your accounting system.
The process today
Invoices arrive by email, by courier with a paper copy, or as a photo sent on a messenger, and someone on the accounts team has to open each one, read the line items, check them against the purchase order if there was one, and type the numbers into the accounting system. A finance team processing a few hundred invoices a month usually spends several full working days a month on this, and the real cost is not just the hours, it is the backlog that builds up whenever that person is out sick or busy closing the month.
The second cost is errors that only surface later: a line item mistyped, a duplicate invoice paid twice because nobody checked against the last batch, a vendor’s bank details changed in an email that looked legitimate. None of these are visible at the moment of entry, only when a reconciliation or an audit turns them up weeks later.
The third is inconsistency across people. One person checks every invoice against the PO before posting, another posts first and reconciles later, and whoever is newest to the role has the least context on which vendors are reliable and which ones need a second look.
What the agent does
The agent watches your invoice inbox and upload folder, reads each invoice with a vision model regardless of whether it is a clean PDF or a photo of a paper invoice, and extracts the vendor, line items, totals, tax and due date into structured data. Where a purchase order exists, it runs a three-way match against the PO and any goods-received note, and where your accounting system has a vendor and GL-code mapping, it applies the same coding every time instead of whatever the last person typed.
Invoices that match cleanly are posted straight to your accounting system as drafts or approved entries, depending on how much autonomy you give it at launch. Anything that does not match, a total that does not add up, a vendor not in your system, a PO that was already fully invoiced, a duplicate of an invoice already posted, goes into an exception queue with the reason attached, so the person reviewing it does not have to re-derive what went wrong.
Typical integrations: QuickBooks, Xero, NetSuite or SAP on the accounting side, Gmail or Outlook for the inbox, and a shared folder or Telegram channel for photos of paper invoices from the field.
What stays with humans
Approving a payment, changing a vendor’s bank details, and deciding how to handle a genuine dispute with a supplier all stay with a person. The agent extracts, matches and flags; it does not decide that an invoice should be paid faster than your normal terms, and it does not override a budget or approval rule your team has set. Any invoice above a threshold you choose always goes through a human approval step before posting, regardless of how clean the match looks.
Guards
Every invoice the agent touches is logged with what it read, what it matched against, and what it decided, so a controller can audit any entry after the fact. New vendors and any change to existing bank details are always flagged for manual verification, since that is the single most common invoice fraud pattern. The system runs in a side-by-side dry run against a batch of your real invoices before it is allowed to post anything live, and a kill switch stops auto-posting in one message if something looks off.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $500 | One inbox, one accounting system, extraction, PO matching, exception queue | 3 to 10 days |
| Department package | from $2,500 | Invoice processing plus accounts receivable reminders and bank reconciliation across your finance team | 2 to 4 weeks |
Running cost is usually $20 to $80 a month in model usage depending on invoice volume, with a budget cap set before launch.
Related
Pair this with purchase order processing so the PO your invoice gets matched against was clean in the first place, and with bank reconciliation so the payment side closes the loop automatically. For the collections side of the same ledger, see accounts receivable reminders. The full package breakdown is on the AI agents service page and the automation-everything overview; for a sense of what this looks like on a real set of books, see the factory ERP recovery case study and the two-brand analytics hub case study.
Ready to stop keying in invoices by hand? Get in touch and we will map your invoice flow in the first call.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does it cost to automate invoice processing?
Our Single automation package starts at $500: capture, extraction, PO matching and auto-posting for one accounting system, live in 3 to 10 days. A department package covering invoices, AR and reconciliation together starts at $2,500.
How long does it take to go live?
3 to 10 days once we have read access to your inbox or upload folder and your accounting system's API or import format.
Which accounting systems does it connect to?
QuickBooks, Xero, NetSuite, SAP, a custom ERP like the one we rebuilt for a supplements factory, or a Google Sheets ledger if that is what you run today.
What happens when the AI is not sure about an invoice?
Anything it is not confident about, a mismatched PO, an unknown vendor, a total that does not add up, goes to the exception queue instead of being posted; nothing reaches your books without passing a match check.
Is our invoice and vendor data secure?
Invoice data stays in your accounting system and your own storage; we do not hold a copy outside what you authorize, and every posted invoice is logged with who or what approved it.