The AI accountant that closes your books while you sleep

An AI accountant is software that can read a transaction the way a human bookkeeper would — recognize the vendor, infer the right account, decide if it is an expense or a transfer, look up the matching receipt, write the journal entry, and tie it back to the bank reconciliation. HelloBooks does this for every transaction that hits your ledger, every day, with a confidence score on every decision.

You stay in control. High-confidence entries post automatically. Low-confidence entries sit in a one-screen review queue with the AI’s reasoning. You approve, override, or convert any override into a permanent rule.

The HelloBooks AI accountant runs across the full accounting cycle, not just one feature. It is the same model that classifies a transaction, matches a receipt, schedules an AP payment, chases an overdue invoice, and produces the month-end accruals — so the context built up on one task is reused on the next.

• Categorizes every bank, card, POS, and marketplace payout transaction on import
• Matches receipts captured by email, mobile, or Gmail/Outlook auto-forward
• Reconciles bank statements line-by-line to the ledger with confidence scoring
• Drafts and sends invoices, then matches incoming payments back to them
• Codes vendor bills, routes for approval, and schedules payment on the optimal date
• Runs depreciation, accruals, and prepayments at period close
• Surfaces anomalies (duplicate payments, unusual amounts, gaps in the AR ledger)

The AI accountant is designed to make your human accountant faster, not redundant. A free reviewer seat ships on every Pro workspace; your accountant gets a queue of AI-posted entries to approve, a queue of low-confidence entries to clear, and a sign-off step for the period close.

For accounting firms, the same reviewer interface scales across an entire client book. One senior reviewer can sign off on dozens of AI-managed clients in the time it used to take to close one manually.

Every AI action is logged with the model version, confidence score, source data, and the rule that fired. Replay any decision, override it, and the override is used to retrain your rules going forward.

You can scope the AI to read-only for any account, set confidence thresholds per account, or require human approval on any class of entry. The default thresholds err on the side of more human review than less for the first 30 days, then loosen as the AI learns your business.