How We Helped a PE Portfolio Company Cut Its Monthly Close From 18 Days to 6

A PE-backed distribution company with $800M in annual revenue, six operating entities, and a private equity sponsor that expected monthly management accounts by Day 10 post-close engaged us with a clear mandate: the 18-day close had to change. The sponsor's Day 10 expectation had never been met. Every month, the finance team worked weekends, the controller fielded calls from the deal team by Day 12, and 12 finance professionals spent the month triangulating between six entity accounting teams and a consolidation process with more manual steps than anyone could comfortably defend. We mapped it, rebuilt it, and got them to Day 6.

Why an 18-Day Close Happens

An 18-day close doesn't happen because finance teams are slow. It happens because the close process accumulates manual steps over time — each one added for a legitimate reason, none ever removed — until the aggregate process exceeds the target window. This company's close had 94 discrete tasks across six entities, coordinated by a shared checklist updated manually and visible to everyone but owned by no one.

The highest-friction steps: intercompany eliminations (requiring confirmation from multiple entities before anyone could move forward), flux analysis on significant variances (requiring commentary from entity CFOs who had their own closes to manage), and the consolidation itself (running in a 400-tab Excel model that took 6 hours to calculate and crashed regularly).

The close isn't slow because people aren't working hard enough. It's slow because the process was designed for 3 entities 8 years ago and nobody redesigned it when the company doubled in size.

What We Built

Close task orchestration: We rebuilt the 94-task close checklist as an automated workflow. Each task has defined inputs, a responsible owner, a due time (not just a due date), and automated dependencies — a downstream task cannot open until its upstream prerequisite is marked complete. The system sends automated reminders at 80% of the available window and escalations when tasks go past due. The finance team stopped tracking the close manually; the system tracks it for them.

Intercompany confirmation automation: Intercompany balances are now submitted by each entity via a structured form at close of period. The automation matches balances between entities, calculates elimination entries, and flags any pair where balances don't reconcile within $1,000. The intercompany confirmation process that previously took two days of back-and-forth email chains now takes four hours.

Automated flux analysis: For every income statement and balance sheet line that moves more than $250K or 10% from the prior month, the system drafts flux commentary using the entity's transaction data as context. Entity finance teams review and edit a draft — not write from scratch. Flux packages that took 4–6 hours to prepare now take 90 minutes.

Consolidation and lender package: We replaced the 400-tab Excel model with a consolidation database that calculates in under 2 minutes. The PE sponsor's management accounts template populates automatically. Covenant calculations — leverage ratio, interest coverage, fixed charge coverage — run against the consolidated data and update the lender compliance certificate automatically. The Director of Finance reviews and certifies; the calculation is done before they open it.

From 18 Days to 6

The first fully automated close completed in 6 business days. The PE sponsor received management accounts on Day 6 — four days ahead of the Day 10 expectation, twelve days ahead of the prior actual. The deal team, accustomed to receiving accounts on Day 16–18 with an apology, received them on Day 6 without warning. The Director of Finance described the resulting call as the most positive finance review conversation he'd had in three years in the role.

The covenant compliance certificate was accurate on first pass. Flux commentaries, previously the most time-consuming editorial step in the close, were completed in a single review cycle because finance teams were editing drafts, not writing from scratch. The recovered ten days per month went to the analytical work the PE sponsor actually wanted: rolling 13-week cash forecasts, operational KPI tracking, and acquisition integration financial modeling for a bolt-on the firm had been planning for six months.

The Four Layers That Compress a Close

The 18-to-6-day close required four automation layers working together: task orchestration, intercompany automation, flux drafting, and consolidation automation. None are exotic. Each addresses a specific bottleneck in the standard enterprise close process. The combination is what compresses the timeline — not because people are working faster, but because the process stops waiting on manual handoffs.

For finance teams running multi-entity closes that routinely miss their target window, the starting point is the same mapping exercise we ran here: enumerate every task, define its inputs, owners, and dependencies. Most enterprise close processes have never been mapped at that granularity. The mapping reveals the bottlenecks. The automation addresses them.