AI bookkeeping software only works if the AI can’t invent numbers. Command keeps real double-entry books with no cached balances — every figure computed live from posted lines — and its reconcile engine is deterministic. AI proposes every match; you confirm; an LLM never computes a dollar amount.
Bookkeeping has offered two bad deals: do it all yourself, or hand your books to a black box. Command refuses both. Every money figure is computed deterministically in code— an LLM never computes a dollar amount — the AI is confined to proposing, and you keep the confirm. For a growing business outgrowing QuickBooks, that’s the whole difference: the speed of AI without surrendering the books.
AI reconciliation the way an accountant would design it: the engine does the tedious proposing, the ledger does the math, and a human stays the poster of record.
Bank and card feeds connect in-app, and every unmatched transaction lands in one reconcile worklist — nothing lingers in an inbox or a spreadsheet.
A deterministic engine suggests a match or a category for each line — exact amounts, payout decompositions, and rules learned from your own past confirmations. No LLM touches a money figure.
Confirm, categorize, or exclude — one decision per line. Only then does anything post, as a balanced double-entry journal entry you can open and read.
Reconcile against the statement until the difference reads zero, then close the fiscal period — a real close-lock, so history can't quietly drift.
Double-entry accounting software with the whole money loop on one graph — and every document that touches the ledger posts a real, balanced entry you can open.
Chart of accounts, journal entries, fiscal periods with an admin close-lock — and no cached balances anywhere. Every figure is computed live from posted lines.
Engine-suggested matches and categories, statement sessions driven to zero, and rules learned from your confirmations. Explicitly no LLM on money.
Enforced invoice lifecycle: finalizing posts DR A/R / CR Revenue, recording payment posts DR Cash / CR A/R — real GL entries linked from the document.
One aging view of what's owed to you and what you owe. Approving posts the expense; recording payment posts the relief. A tracker — structurally never a disburser.
Vevang Payments — embedded Stripe Connect onboarding, payouts, balances, and documents without ever logging into Stripe — plus bring-your-own Stripe or Square.
P&L, Balance Sheet, and Cash Flow against prior period, a 13-week cash runway, and CSV export — all read live from posted lines, never from a cache.
CSV import covers your chart of accounts, customers and vendors, open invoices and bills, and historical journal — with a dry-run preview before anything commits. Imports post through the same balanced-entry path as everything else, and closed periods are refused. Your history arrives as real entries, not a lump.
An opt-in construction pack adds AIA G702/G703 progress billing, retainage, change orders, lien waivers, and a WIP board of billed vs. actual GL cost — and certifying a pay app posts the real entries, retainage included.
There is no “trust the AI” step anywhere in the Money OS. Money figures are computed deterministically in code from posted journal lines, and any number you see can open the exact entries behind it.
And it’s honest about its edges: consolidated reporting across entities is a straight sum today (intercompany elimination comes later), and approved time rolls into job margin but doesn’t post a journal entry yet. When Command can’t do something, it says so — it never fakes a number.
Cash on hand — $214,882.10
Your bank and card feeds land in one reconcile worklist, and a deterministic engine — statement sessions plus rules learned from your own past confirmations — proposes a match or a category for every transaction. You confirm, categorize, or exclude each one; nothing posts to the ledger on the engine's say-so alone. The AI does the tedious proposing, the books stay double-entry, and a human stays the poster of record.
See it live on your own numbers — connect a feed, watch the engine propose, confirm a match, and open the journal entry it posts. Then decide if this is how you want your books kept.