CloseBooks AI is the AI workforce that runs the monthly bookkeeping cycle for small businesses, then translates the results into the plain-English summary an owner actually reads.
The starting résumé
A working bookkeeper with several years of small-business clients. Knows QuickBooks Online, the rhythm of the monthly close, where receipts go missing, and what owners actually ask about when the bookkeeper finally calls.
The AI workforce
- Receipt Chaser — follows up with the owner until the receipt drawer is empty
- Transaction Review — categorizes and flags anomalies at month-end
- Missing Info — closes the loop on partial entries before they pile up
- Owner Summary — writes a one-page plain-English summary for each client
The first customer
The bookkeeper's existing book. The pilot is a friendly client willing to swap a Friday-afternoon call for a clean monthly summary in their inbox.
The numbers we model
| Path | Annual run-rate | Reasoning | | --- | --- | --- | | Conservative | ~$180k | A productized version of the bookkeeper's current book | | Expected | ~$900k | Local small-business expansion through CPA referrals | | Upside | ~$3.6M | Multi-state book through accounting-firm partnerships |
Market size: roughly 30 million U.S. small businesses, addressing about $2B in directly recoverable services spend.
These numbers are modeled, not earned. The bookkeeper's edge isn't the AI — it's that they already speak the language of the owner who's about to write the check.