Coopen / Automation / Automated reconciliation
Automated reconciliation — match everything, every day.
Reconciliation is the purest automation candidate in finance: two lists, one set of rules, thousands of comparisons, zero judgment on the vast majority of lines. We build reconciliation that runs every day against your real data sources, so the only thing anyone looks at is what genuinely does not match.
Finance & accounting automation
Month-end exists because reconciliation is manual
The month-end scramble is not a law of accounting — it is what happens when comparisons that could run daily are batched up until someone has time. By then the volume is large, the context is stale, and tracing a three-week-old discrepancy takes ten times longer than catching it the day it appeared.
The work itself is mechanical: match this bank line to that ledger entry, this processor payout to those orders, this intercompany charge to its counterpart. A spreadsheet with lookups is the usual tool, which means the process is invisible, unversioned and known only to whoever built it.
Worse, the errors that reconciliation exists to catch — a double charge, a missing payout, a mis-posted entry — are exactly the ones that get expensive with age. Finding them daily is not just cheaper, it is materially different in value.
What we automate
What we reconcile automatically
If two systems should agree and today a person checks that by hand, it can be automated.
- Bank to ledger — Every statement line matched to its accounting entry, daily, with rules for fees and timing differences.
- Payment processors — Card, gateway and marketplace payouts broken down to the underlying orders, net of fees and refunds.
- System to system — Your operational system against your accounting system, so both tell the same story.
- Intercompany — Matched counterparts across entities, with currency and timing differences accounted for.
- Inventory and stock — Physical counts against recorded movements, with variance flagged as it happens.
- Exception workflow — Unmatched items become a working queue with owner, age and status — not a leftover tab.
How matching works
Rules first, fuzzy matching second, human last
Good reconciliation is layered. The first pass matches on exact identifiers — reference, amount, date — and clears the large majority of lines instantly. The second pass handles the messy real world: amounts split across entries, references typed with a typo, a payment arriving two days after the invoice date, fees deducted at source.
Only what survives both passes reaches a person, and it arrives with the candidates already ranked and the likely reason attached. That is the difference between an exception queue people actually work and one they avoid: the software should have already done the searching.
Every rule is yours and visible. Tolerances, timing windows and fee treatments are configuration, not hidden logic, so when the business changes the rules change with it.
Continuous beats periodic, for a reason that is not speed
Running reconciliation daily is not mainly about doing the same work sooner. It is about the size of the haystack. A discrepancy found within twenty-four hours has obvious context — you know what happened yesterday. The same discrepancy found five weeks later is an investigation.
Continuous reconciliation also changes what month-end is. Instead of a reconstruction, it becomes a review of a book that has been correct all along, which is the point at which closing faster stops being a heroic effort and becomes the normal outcome.
Results
What changes
Instead of monthly
Discrepancies surface while the context is still fresh and cheap to fix.
Only, for humans
The matched majority never needs to be looked at by anyone.
Close
Month-end becomes a review, not a reconstruction of five weeks of data.
FAQ
Automated reconciliation FAQ
What can automated reconciliation software actually match?
Any two sources that should agree: bank statements against your ledger, processor payouts against orders, your operational system against accounting, intercompany balances, stock movements. If a person currently compares two lists, it can be automated.
What happens to items that do not match?
They go into an exception queue with likely candidates already ranked and the probable reason attached, plus an owner and an age. The goal is that a person makes a decision rather than performing a search.
Do we have to change our accounting system?
No. Reconciliation sits alongside what you have, reading from your ledger, bank feeds and operational systems. Nothing needs to be replaced.
How does it handle fees, refunds and timing differences?
As explicit rules that you control — fee treatments, tolerance thresholds and date windows are configuration, so a payout arriving net of fees two days later still matches cleanly instead of becoming a false exception.
Is this only worth it at high volume?
High volume makes it obvious, but the trigger is usually pain rather than scale: if reconciliation is a spreadsheet only one person understands, automating it removes a real operational risk regardless of volume.
Will auditors accept automated reconciliation?
Yes, and they generally prefer it. Every match, rule and manual override is logged with a timestamp and a user, which is a stronger audit trail than a spreadsheet that has been edited in place for years.
More automation
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