AI-assisted month-end close automation: journals, revenue recognition, consolidation. Here's exactly where ScaleXP and Postlock overlap - and where they don't.
Automates the journals themselves (accruals, prepayments, revenue recognition) across multiple entities with built-in consolidation - it does more of the close for you.
ScaleXP automates getting to sign-off. It doesn't watch what happens after - nothing here catches a document backdated into a period you already reported. Postlock starts where ScaleXP's job ends.
| Feature | Postlock | ScaleXP |
|---|---|---|
| Post-lock change detection (auto watchdog) | - | |
| Real Excel export · working-paper quality | - | |
| Per-line institutional memory (carry-forward notes) | - | |
| Supporting schedules | ||
| Board-figure tracking | - | |
| Read-only Xero · no write access | ||
| Who-changed-it attribution | ||
| Audit trail + adjustment register | ||
| Named-user roles + approval workflow | ||
| Practice multi-client view | ||
| Price (early access) |
"?" = not confirmed from public docs; check ScaleXP's current site before deciding.
Post-lock monitoring: we haven't found another tool that watches closed periods and names the document and person behind a change - check us on it in the table below. The Excel pack: the tools we've compared keep reconciliations in their own dashboards; Postlock exports a real file because auditors and accountants live in files, not dashboards.
If you need multi-entity consolidation, driver-based forecasting, deep workflow, or client data-hygiene monitoring, look at ScaleXP, Numeric or Dext - they go further in those specific areas. Postlock is deliberate and narrow.
We request only read-only Xero access - technically incapable of changing your ledger. If Postlock were ever compromised, an attacker could see but never touch your numbers. That's a trust decision we won't trade away.
Every check here is deterministic and re-performable - the same inputs give the same answer, which is what audit evidence requires. Your ledger is never read by a model, and there's no metered AI cost under the price. If a tool's pitch leans on AI reading your transactions, ask two questions: what does it find that a written rule couldn't, and what happens to their costs when model pricing moves. Our full reasoning →
See how Postlock compares to the rest of the market on the full comparison hub.