AI for finance & accounting: a month-end close without retyping.

AI reads the invoice, whether it arrives as a PDF, a photo, or an e-invoice, identifies the vendor, the pre-tax amounts, the VAT, and the due date, then suggests the account coding based on your habits. Where basic OCR just copies characters, AI understands the document and catches what tired eyes miss: a duplicate, a VAT number that changes, an amount that doesn’t match the purchase order.

At first, a person approves every entry. After that, recurring invoices with no discrepancy (rent, subscriptions, regular vendors) can go through on their own, and the rest still go to a person. E-invoicing doesn’t remove this work. In France, since September 2026, every business must be able to receive e-invoices, and small and midsize businesses will have to issue them starting September 2027. Documents become more structured, so they’re easier to process. The method is laid out on the business process automation page.

Accounting software already reconciles the simple cases: one amount, one date, a clear description. AI handles what’s left unmatched: batch payments covering three invoices, descriptions truncated by the bank, deposits, differences of a few cents, fees withheld by a payment processor.

For each line, it proposes a match with its reasoning (“€4,812 transfer = invoices 1043 and 1047, bank fee difference”), and a person confirms it. Confirmed matches feed the rules, so the next month the same cases go through on their own. The gain shows at month-end close: fewer pending lines, the month closed sooner, and an accountant who spends time on real discrepancies rather than hunting for matches.

The report is reliable if its numbers are: the tool calculates nothing it doesn’t find in your software. It pulls data from accounting, sales, and cash, compares it to the budget, and drafts the first version of the commentary, with the likely cause of each variance and a link to the entries involved.

The controller or the business owner reviews, corrects, and signs off. They save the time spent on formatting, not on analysis: they decide whether a variance is a one-off or a trend. For the tool to see these numbers while respecting each person’s access rights, you need AI integration in your software, not copy-pasting into a chat window.

I don’t build tools that give financial advice, grant credit, or make investment decisions. Those decisions stay human, and are often regulated. Likewise, compliance checks at brokers and accounting firms (know your customer, anti-money laundering) remain a person’s responsibility: AI checks that the documents are there and legible, but it doesn’t judge a file.

• Yes: read, reconcile, prepare, flag, write a first draft.
• No: decide, advise, or sign off on compliance instead of a person.

This boundary is written into the proposal, task by task, before the first day of work. It also protects your team: no one has to wonder whether the tool “decided” something. If your need falls under financial advice or a regulated tool, I’ll tell you on the very first call.