One close process across every client.

The same checklist, the same controls and the same audit trail on each engagement — so a reviewer moving between clients is not learning a new system each time.

How the AI is grounded

What usually goes wrong

Every client on a different stack, each with its own quirks and no shared review process.
Review time spent reconstructing what happened rather than reviewing it.
No way to prove a control was applied rather than intended.

What changes

One review process, every client
Evidence collected as work happens
No cross-client exposure

How

Three things that do the work.

Consistent engagements

Identical close checks and tie-outs on every client, so quality is a property of the system rather than of who staffed the job.

Evidence by default

An append-only audit log, attributed approvals and waivers with stated reasons — the evidence a review needs, already collected.

Isolated by construction

Each client is its own organization with no code path to another's data.

The modules behind it

Nothing here is a promise.

Each of these is a product page describing code that exists.

Paisa AIAn assistant that cannot invent a number Perpetual general ledgerAppend-only, always current Advanced revenue recognitionASC 606 / IFRS 15, in the ledger Accounts receivableInvoicing, aging, collections Accounts payableApprovals, controls, aging Bank reconciliationTiered matching, zero-difference gate Close managementExecutable checks, not tickable boxes Multi-entity & consolidationPer-entity ledgers, consolidated on demand

Look at the books, not the brochure.

A seeded company, a close in progress, and every number computed by the engines.

Try the AI CFO Open the ERP console