Definition
Automated invoice generation, payment tracking, expense categorization, and account reconciliation carried out by AI and reviewed by a human or a licensed accountant. It works from the same bank feeds and card statements a bookkeeper would use, learning the business's own categories so the books stay current instead of piling up until quarter-end.
What it looks like in practice
Thirty recurring accounts bill on the first of the month at a small commercial cleaning company, plus a dozen one-off deep cleans scattered through it. Invoices generate automatically from the schedule, so a crew that added two extra hours at an office park shows up on that account's invoice without anyone retyping it. Card charges get sorted as they land (supplies to supplies, fuel to vehicle, the vacuum repair to equipment) and anything ambiguous waits in a short review queue instead of being guessed at. Unpaid invoices trigger a polite reminder at seven days and a firmer one at twenty-one. The accountant opens the file in January and finds it already reconciled.
Why it matters
Bookkeeping is rarely the thing an owner is bad at; it's the thing that gets done last, at night, badly. That's why automating the data entry and reconciliation pays off, not because the work is hard, but because doing it weekly instead of never changes what the owner can see. Current books mean you know which jobs actually made money and who owes you. What this doesn't do is replace a CPA. Tax positions, entity decisions, and anything with a filing deadline still want a professional; the point is to hand that professional clean records rather than a shoebox in March. Categorization also needs correction, especially in the first months.