What separates AI payables software from OCR
Optical character recognition has been reading invoices for twenty years. It turns the pixels on a bill into text — vendor name, total, date — and stops there. Someone still decides which account the bill belongs to, whether it is a duplicate, who has to approve it, and when it should be paid. That is the part that takes the time.
AI accounts payable software makes those decisions. It codes each line to a general-ledger account, project and cost centre by learning from your history, not from a rulebook you have to write. It recognises that a bill with the same vendor, amount and reference already exists. It routes the approval to the right person because of what the bill is, not because of a static list. And it gets more accurate every month, because every correction you make becomes a rule it applies from then on.
A quick test for "AI-washing": ask whether the tool reads every line of a bill, codes each line without manual entry, improves as it sees your data, and handles exceptions rather than merely flagging them. If the answer to any of those is no, it is OCR with a new label.

