Grade your month-end close, and keep the receipt.
Close Verifier sits behind your existing bookkeeper (a person or an AI) and independently re-closes the same books, then tells you where the close is wrong, what the right numbers were, and what that mistake would have cost. Not a checklist tick, a receipt an auditor can read.
Book a close-verification pilot See a sample disagreement report
THE PROBLEM
Every month someone closes your books, and the statements that come out look right. Most of the time they are. But a journal entry that does not balance, an account that was marked reconciled without actually tying to the bank, a December invoice booked into January, a vendor charge dropped in the wrong category, an accrual that quietly went missing, these are the errors you find out about from a lender, an auditor, or an acquirer, not from a dashboard. And the newest wrinkle is that AI is now writing the close, not just tracking its tasks, so the failure mode moved from a slow human mistake to a fast, confident machine one. The close-management tools you already have (the checklists, the task trackers) confirm that a step was marked done, they do not re-derive the numbers, so a confidently wrong close still sails through with every box green.
HOW IT WORKS
Close Verifier does not replace your bookkeeper, and it does not ask you to change your workflow, it sits behind the close you already produce. It takes the same source feed the books were built from (your opening balances, your raw transactions, your bank statements), independently re-closes the period (deterministic, model-free, end to end), and then judges the close you were handed on a fixed set of checks. Where a structural check exists you get a real answer, agreement or a named failure. Where a check genuinely needs data it does not have, it abstains and says so, rather than inventing a green tick. Your ledger, your bookkeeper, and your process stay yours, we grade the close, we never take over the books.
WHAT YOU GET (the disagreement report)
For every close, an auditable verdict: - agreement, or a business failure kind (an unbalanced journal entry, an unreconciled account, a wrong-period cutoff, a misclassified transaction, or a missing accrual), - the offending items, named, with the number we re-derived next to the number that was claimed, so the fix is obvious, - our own independently re-derived reconciliation and financial statement for the same period, built from the same source feed, - the cost and runtime delta between the close you paid for and the deterministic one.
A report you can hand to a lender or an auditor, not a checklist you have to defend.
WHO IT'S FOR
Businesses and fractional CFOs who rely on staff or an AI bookkeeper to produce a month-end close they then have to stand behind, first, then accounting firms wanting a QA layer over junior-staff closes, and lenders or acquirers running quality-of-earnings on someone else's books. If a wrong number in your close can end up in front of a lender, an auditor, or a buyer, this is for you. If a wrong number costs nothing, it is not.
PRICING (the ladder)
We price the ladder, not a single number, and every number below is a hypothesis we validate with you, not a commitment. - Pilot, a fixed-price paid proof on your own recent monthly closes. You see the disagreement report and the cost delta before you commit to anything. - Value-metered, per verified close, once the pilot proves the delta. Your bookkeeper keeps running, we grade each month-end close. - Platform, license the deterministic close verifier into your stack.
IP is licensed, never assigned. The verifier stays ours, the proof is yours. Any step that takes your money is gated and confirmed before it runs, nothing charges silently.
THE PROOF (dogfood)
We run this discipline on ourselves before we sell it. AYA keeps its own books through Anya (the same acolyte behind this product), so AYA has a real month-end close, and the re-close judge underneath Close Verifier is producer-agnostic, it grades AYA's own close exactly the way it would grade yours, we eat the verifier we sell. And the product's own build left a receipt, the deliverable pattern was scored (80 out of 100, grade B), the three atoms it composes resolve on disk, and the verify engine passed a seven-for-seven offline check (a clean close agreeing, plus all five failure kinds caught, plus a garbage input failing closed) before this page was written. That is the same kind of evidence trail this product produces for you.
HONEST NOTE
We would rather under-promise. Close Verifier's engine has been built and verified offline, it re-closes the books, it catches all five failure kinds, and it fails closed on bad input, we ran that check and it is green. What it has NOT done yet is run inside a booted mesh or against a real firm's close export, the engine is wired at the pattern layer and unit-tested on its own, but the message-bus registration and a first live batch of a customer's monthly closes are still owed, and we will say so plainly rather than imply a proof we have not run. Where a structural check exists we give you a decisive answer, where judgement needs data we do not have we abstain and tell you, we never manufacture a green check. That refusal to fake certainty is the whole point.
Book a close-verification pilot
*This page is a specification. The capability it describes is not built yet, and nothing here is a claim that it runs today.*