Countz
Certainty for the numbers you sign.
Know the ledger is clean, and what its numbers mean for your company, before your name goes on it.
Audit prep, the SAP go-live, the sponsor package, the quality of earnings. Countz installs as a plugin in the AI you already use and works from your exports; nothing changes in your ERP.
What you run into with AI on its own.
The playbooks are built in, so the question is already asked, the steps already run, and the figure already open to its source.
Working out what to ask
A good answer needs the right question, and the right question needs the accounting behind it, more so when the work is new to you. The playbooks are built in: the PBC list, the trial balance tie, the QoE rebuild.
Building the same tools again
Each attempt re-reads the same data and has the AI write the same tools again before it can answer. The playbooks ship those tools already written, so the tokens go on the answer and your time goes on the review.
Getting the same answer next quarter
The AI updates, the export changes shape, someone else runs it. Same inputs, same outputs, with the steps on the face of the schedule.
Where the data goes
Nothing else changes. Countz runs inside your own AI account, and no financial data is sent to Countz.
What is on your desk right now?
Audit prep
Fieldwork ahead, a first audit, or the auditor in the building all year.
This is my situation → 02The SAP go-live
Go-live has a date, and the problems on the new system start after it.
This is my situation → 03The sponsor package
The schedules, the write-ups, the covenant calc, due on the sponsor's day.
This is my situation → 04The quality of earnings
A target's numbers to test, a QoE to write, or a true-up to defend after close.
This is my situation →None of these? Tell us your situation →
The balance sheet understood, the PBC list answered.
To substantiate one balance you open the sub-ledger, the billing system, the CRM, the bank and the contract, and none of them answers on its own. Every entity repeats the set, and a group that grew by acquisition repeats it on a different ERP each time. Substantiating all of it by hand is not possible in the window, with the same people who are closing the month, so what you sign rests on reconciliations and samples. Anything left unexplained becomes an audit adjustment or another round of testing.
- Every module on the balance sheet — AP, AR, revenue under ASC 606, leases, payroll, inventory, fixed assets, tax — tied, reconciled and vouched across the full population, with what each balance is recording.
- Each PBC request answered with its schedule and the support attached, and every difference root-caused before the auditor asks.
- You decide what goes to the auditor.
The breaks after go-live, root-caused on the new system.
The date is fixed and your team's problems begin the day after it: balances that do not agree with the old system, reports that no longer exist, a close that goes manual while everyone learns S/4HANA. Every one of them needs a root cause, on a system nobody on the desk has worked before.
This is my situation →- Knows how S/4HANA records what the old system recorded, so each difference is explained.
- Prepares the old-to-new comparison before go-live and a root cause for each break after it.
- Your team decides the fix; the manual pulls and ties are done meanwhile.
The schedules drafted, the movements explained.
The sponsor's day comes every month, in the sponsor's shape: the bridge, the add-backs, the covenant calc, and the write-up that says what moved and why. The numbers come from the FP&A tool, the warehouse and the ledger; the explanations come from you.
- Works out what moved and why, and what each add-back is recording, from the exports you already pull.
- Drafts the schedules and the write-up in the sponsor's shape, with the support behind each line.
- You decide what the sponsor sees.
The QoE, rebuilt from the data room.
The bid is due on a date you do not control, and the exclusivity window will not be extended. The people who could do the work are on other deals or closing the books, and the data room arrives late, in whatever shape the seller keeps it. The number goes into the price on that date either way, and what nobody had time to test comes back as a re-trade or a true-up dispute.
This is my situation →- The QoE rebuilt from the data room — adjusted EBITDA, the working-capital schedules, the databook — and, after close, the opening balance sheet and the true-up.
- Each add-back traced to the entries behind it; revenue cut-off, the AR tie-out, DSO, customer concentration and cohort retention run on the full population.
- Whether an item recurs stays your call.
Try it now. Connect later.
The work can start today, from the files you already have. Not after a six-month implementation.
Install the plugin
Into the AI you already use. Claude Cowork or ChatGPT Work, today.
What happens- Countz playbooks are built in
- Runs inside your own AI account
- No financial data is sent to Countz
Give it your files
Exports, Excel, a data room. Nothing to connect.
What happens- SAP, NetSuite, Oracle, QuickBooks
- Standard export formats
- "Audit prep, from these."
Ready for your review
Within minutes. Every figure with its source, gaps stated.
What you get- Schedules, reconciliations, write-ups
- PBC answers with the evidence attached, breaks root-caused
- Reports: the QoE, the sponsor package. Nothing posts to your ledger
Your systems, connected
ERP, bank feeds, warehouse.
Countz in your cloud
Same playbooks, every close, on your cloud or your models.
The reviewer signs off
The same work, in the same form, every period or every engagement.
Tell us your situation.
Four questions, read by a person. Free during the beta. Install instructions come with the invite.