Accounting, AP/AR, and the close — on one audit-ready ledger.
Enterprise finance and treasury on the governed platform: double-entry accounting, accounts payable and receivable, procurement, fixed assets, dimensional budgeting, multi-currency, and agentic paper trading — all on one tenant-isolated, audit-ready data layer. Agents read invoices, match and reconcile, and prepare the work for sign-off, while every figure traces to the action and document behind it.
An accounts-payable review completed end-to-end by an agent — under budget, every step on the record.
Run the full finance back office — double-entry accounting, AP/AR, procurement, assets, and the month-end close — on one audit-ready ledger, with agents doing the legwork.
The actual Finance workspace, screen by screen.
Not mockups — the real product surfaces, every agent, record, and governed action on one system. Click any frame to see it full size.
Every account, balance, and category on one governed view
Agents do the routine bookkeeping — importing, coding, and classifying — inside the limits you set, while you keep one live view of cash, balances, and where the month’s money is going, every move on the record.
One tenant-isolated ledger means the figure you see traces straight to the transaction and the rule behind it.
AI proposes the category, you keep the rules
Each transaction is read and classified the moment it lands — rule-matched or flagged for review — inside the categorization rules you set, so the routine coding is done for you and anything unsure stops for a person.
Nothing posts on a guess: a rule made the call or someone did, and you can see which on every line.
Invoices read and matched on arrival
Each vendor invoice is read and matched against its order and receipt the moment it arrives, with anything outside the limits you set held for a person to approve before payment — and the whole path kept on one trail.
You pay only for what was ordered and received, and an exception is a decision someone made, not a number nobody can explain.
Bill customers and watch the cash come in
Receivables run the full invoice lifecycle — issued, sent, partially paid, paid — with agents handling the routine follow-up under your limits while anything consequential stops for a person, every status change on the record.
A close that proves itself, item by item
Routine close prep — pulling reconciliations, aging, and depreciation together — runs under the limits you set, while the close itself stays a checklist a person signs off item by item before the period locks.
Each remaining item is proven by the numbers and links you straight to the fix, so the close is provable, not a black box.
Statements on demand that trace to the detail
Produce a profit-and-loss, balance sheet, or trial balance for any period on demand — generated from the same governed ledger the agents work in — and drill from any headline number straight to the journal entry behind it.
The numbers on the board deck are the numbers in the books, with the path between them on the record.
A simulated investment desk on the same books
Agents test strategies and place trades in a paper-trading account — simulated, never real money — under automated risk checks and the value-at-risk limits you set, with every order on the record.
Prove every figure to an examiner
Every posting, payment, and approval — agent or human — lands on a tamper-evident, SHA-256 hash-chained record, so alter one entry and the chain breaks.
It is the field-by-field history auditors expect: who changed what, when, and from what to what.
Every posting, payment, and approval lands on an append-only finance audit trail that can’t be quietly edited — with the most sensitive identifiers scrubbed from the stored record.
For finance teams, controllers, and treasury. It runs on the same governed platform as everything else — one permission model, one verifiable record, and the same agents acting under the limits you set. Part of one governed platform: start with Finance and add the rest when you’re ready, with nothing to re-integrate or re-secure.
See Finance on your own work.
Bring a real example and we’ll walk it through Finance — under the same controls you’d run in production.