About
Every month, finance teams across thousands of companies spend 10–15 days closing their books. They reconcile bank accounts, chase invoices, reverse last month's accruals, maintain revenue recognition spreadsheets, and run through a checklist that hasn't changed in 20 years.
Most of it is rules-based, repetitive work. The kind of work that should be automated.
We built BeanStack because we believe it can be. Not assisted — not a copilot that helps you do it faster — but actually done, by software that reads your documents, reasons over the data, and produces a clean set of books. The accountant shifts from operator to reviewer.
This is a new category. Autonomous accounting sits between legacy ERPs — powerful but rigid, requiring consultants and months to implement — and simple bookkeeping tools that are easy to set up but shallow. BeanStack handles the full workflow: documents to posted entries, bank feeds to reconciled books, contracts to recognition schedules — with a complete audit trail on every AI decision.
A system that suggests what to do is a better tool. A system that does it is a different category. We build the latter.
Every AI decision in BeanStack has a reason, a source, and a confidence score. Finance demands it. An autonomous system that cannot explain itself is not trustworthy.
ASC 606, multi-entity eliminations, accruals, FX translation — we handle the hard parts so you do not have to. Simplifying the problem by ignoring the complexity is not a solution.
Not a 12-day sprint. Not a monthly crisis. A background process that runs, surfaces exceptions, and notifies you when it is done.
We're in private beta and working closely with early customers. If you run a finance team and want to test autonomous accounting on live books, we'd like to talk.