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EveryBooks / Industries / Private equity & multi-entity / Month-end close automation

Private equity & multi-entity

Month-end close automation

Agents prepare the reconciliations, the accruals and the intercompany matches on a schedule. Your team reviews exceptions and signs the close, and the date it lands stops being a surprise.

Who this is for. Controller or finance director running the close across more than one entity, and the CFO who has to promise the board a date.

Everything due, then prepared and matched, then you sign the close. Two dates are flagged. A person signs it off.BankSubledgersAccrualsCLOSE CALENDARSIGNEDClosed on day five.Everything duePrepared and matchedYou sign the close

The problem today

The close is a sequence of tasks that only a few people know in full. Some of it lives in a checklist, more of it lives in habit, and the parts that slip are usually the reconciliations nobody has time to finish before the reporting deadline.

Across several entities it gets worse. Each one closes slightly differently, intercompany never agrees on the first pass, and the group number waits for whichever entity is slowest. The team works later rather than the process working better.

What we deliver

  • One close calendar across every entity

    Every task, owner, dependency and due date on one record, so you can see what is blocking the close rather than asking around. The calendar is the same artefact your auditor can read.

  • Reconciliations prepared before the review

    Bank, balance sheet and subledger reconciliations arrive at review already matched, with the unmatched items isolated and explained. Your team spends its time on the exceptions instead of the matching.

  • Recurring journals and accruals drafted

    Agents draft the entries that repeat every month from the same source data and the same rules, and show the calculation alongside the entry so review is quick.

  • Intercompany matched and the difference explained

    Both sides are pulled, matched and reported as a short list of genuine breaks rather than a long list of timing noise.

  • Exceptions routed to a person, not a queue

    When something does not match, it goes to the person who can resolve it with the context attached. Nothing sits in a shared inbox waiting to be noticed.

  • A close pack that assembles itself

    When the last task is signed, the supporting pack is already built from the evidence the agents collected along the way.

What agents do, and what your team approves

What the agents do

Agents pull the source data, perform the matching, draft the recurring entries, assemble the support and flag what does not reconcile.

What they never do

Every journal is posted by a named person and every reconciliation is signed by a named person. The close is still yours to certify, and the audit trail shows exactly who decided what.

Systems we work with

  • NetSuite
  • QuickBooks
  • Dynamics GP
  • SAP
  • Excel

From past work

What we have built

Across multi-entity groups we have moved reconciliations and recurring entries off the critical path, so the constraint on the close became review capacity rather than preparation capacity.

Questions we get

Will this shorten our close?

Usually, but the honest answer is that it first makes the close predictable and then makes it shorter. Preparation work moves off the critical path immediately. Getting from predictable to genuinely fast normally means fixing a few upstream habits, and we will tell you which ones during the first close we watch.

Do agents post journals on their own?

No. Agents draft entries and show the calculation. A named person posts them. That line does not move, because the person who signs the close has to be able to defend every number in it.

What if our entities close differently?

That is normal and we do not force a single process on day one. We put every entity on one calendar first, which makes the differences visible, then converge the parts that are worth converging.

Does this work if our data is messy?

Agents inherit whatever the record gives them, so genuinely bad data has to be fixed before automation helps. The first thing we do is tell you honestly which category you are in.

Related

Scope month-end close automation for your business.

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Prefer email? pavlo@theeverybooks.com

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