Month-end close that finishes two days early.
CloseStack is a reconciliation pipeline that pulls transaction data from five separate systems on a schedule, matches it against a defined rule set, and surfaces only the exceptions a human actually needs to review — with every figure keeping an audit trail back to its source system.
The problem wasn't speed. It was that a wrong number looked exactly like a right one.
The client's finance team closed the month by pulling figures out of five separate systems into a single spreadsheet and reconciling them by hand. It worked on clean months. On messy ones — a delayed sync, a duplicate entry — nobody could tell which of the hand-copied numbers was wrong.
Month-end close meant pulling numbers out of five different systems into one fragile spreadsheet, reconciling them by hand, and hoping nothing in the source systems changed while the file was still open. That's manageable when every account behaves. It breaks down the moment one system has a delayed sync or a duplicate entry, because there was no way to tell which of five hand-copied numbers was actually wrong.
Workflow orchestration schedules the pulls, a rules engine performs the matching, and a dedicated database stores reconciled records with their full audit trail.
Transactions are pulled from all five source systems on a schedule — throughout the month, not just at the end.
A rule set matches transactions across systems within defined tolerances.
The team reviews the small set of items that genuinely don't match, instead of every line.
Every reconciled figure is stored with a link back to the record it came from.
We built a pipeline that reconciles continuously instead of once a month:
Keep the spreadsheet and automate the copy-paste into it.
A proper pipeline with the audit trail as a first-class feature.
The easy version of this keeps the spreadsheet as the system of record and just automates the copy-paste step into it — it's the smallest possible change and the fastest to ship. It also keeps the actual risk in place: a spreadsheet has no audit trail, so a wrong number is indistinguishable from a right one once it's pasted in. We built a proper reconciliation pipeline with the audit trail as a first-class feature instead, which took longer to build but means every number in the close can be traced back to the system it came from — the thing an auditor actually asks for.
Working software early, then the full build — with the client using it at every step.
We followed a full month-end close and documented every matching rule the team applied.
The first two sources were reconciling automatically, with results checked against the manual close.
The remaining systems, exception review screens and the full audit trail.
Matching tolerances documented and adjustable by the finance team.
Catching a mismatch on day four is a quick fix. Finding it on day thirty is an investigation.
'Where did this number come from?' should always have an answer one click away.
Adding document matching for invoices and receipts, so supporting evidence is attached to each reconciled line automatically.
Which parts of the month-end close eat the most hours?
Our free tool answers it with your own figures — in your browser, no sign-up.
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