Finance automation is where “move fast” hurts most. A small mistake, repeated automatically, turns into a reconciliation nightmare. Having worked as a bookkeeper before building finance systems, we design every integration around one principle: machines prepare, people approve.
What to automate
- Creating invoices from project or case data
- Capturing e-signatures on engagement letters and invoices
- Reminder chains for unpaid invoices
- Tracking pass-through costs so they are billed on
- Monthly statements for each client
What should wait for a person
Posting to the ledger. Our QuickBooks Online sync puts every prepared entry into a review queue. A person checks amounts, accounts and customers, then approves, and only then is it written to QuickBooks.
The safeguards that matter
- OAuth 2.0 through the official API: no stored passwords.
- Idempotent syncs: re-running a sync never creates duplicates.
- An audit log of who approved what, and when.
- Monthly reconciliation between the source system and QuickBooks.
Where AI helps, and where it does not
AI is useful for sorting the inbox: reading incoming mail, routing it to the right department and drafting replies for a person to approve. It should not decide amounts or post to your books.
Want invoicing and QuickBooks automated the careful way? See AI & finance automation.