Why month-end close problems start earlier than you think

Month-end close starts long before anyone starts closing the books.

Every purchase creates information finance will eventually need: a receipt, a category or GL code and an accurate accounting record. One missing receipt or uncategorized transaction isn’t much of a problem on its own.

But multiply those small gaps across hundreds or thousands of transactions throughout the month, and the work piles up. By month-end, finance isn’t just reviewing the books. It’s chasing documentation, filling in missing information, correcting coding and reconciling transactions that could have been completed weeks earlier.

PEX’s 2026 State of Finance report shows how much time that work can consume:

• 30% of finance teams say receipts and reconciliation are their No. 1 operational challenge
• 24% name close speed and accuracy as their top challenge, second only to receipts and reconciliation
• 31% spend more than 20 hours each month on manual receipt collection, coding and reconciliation
• 39% take six or more business days to close; only 24% close within two

As transaction volume and operational complexity grow, those small gaps can create even more work for finance teams already under pressure to scale without continually adding manual processes. That crunch is especially visible in the mid-market. Among companies with $10-50 million in revenue, 49% take six or more business days to close, compared with 39% overall.

A faster close doesn’t necessarily start by changing what happens at month-end. It starts by reducing the unfinished work that reaches finance in the first place.

That’s where AI’s biggest near-term opportunity lies. Before AI transforms finance, it can take everyday work off finance’s plate. Yet 67% of finance teams still automate 20% or less of their transactions. That leaves plenty of room to eliminate repetitive tasks and give finance more capacity for higher-value work. 

What actually slows down month-end close

If month-end close takes longer than it should, the problem may be easier to spot by looking at what’s still unfinished when close begins.

A clean transaction shouldn’t require much additional work from finance. The more transactions that arrive at month-end missing documentation, coding or other information, the more cleanup gets added to the close.

Where is close work accumulating?

Look for work that finance is still completing at month-end:

• Missing receipts: How many transactions are still waiting for receipts or other required information?
• Unfinished coding: What percentage of purchases still need a category or GL code?
• Employee follow-up: How often does finance have to ask employees what they purchased or why?
• Reconciliation cleanup: What percentage of transactions require research or corrections before they can be reconciled?
• Manual accounting handoffs: Where does finance have to re-enter, export or recreate information in the accounting system?

These bottlenecks point to work that could happen earlier, and to some of the best opportunities for automation.

Three ways AI & automation can reduce month-end work

1. Complete documentation upfront

Automated receipt capture and matching can connect documentation to transactions throughout the month, while automated reminders can follow up on missing information before reconciliation begins.

The potential time savings are significant. 14% of finance teams spend more than 40 hours each month on manual receipt collection, coding and reconciliation.

Capturing more of that information as transactions happen means fewer incomplete expenses waiting for finance at month-end.

2. Categorize transactions before reconciliation

AI and automation can suggest categories or GL codes earlier in the expense process, with finance reviewing or correcting them as needed.

There’s significant room to automate this work. Only 21% of finance teams currently use automated transaction categorization, while another 55% are interested in it.

The more coding that happens throughout the month, the less finance has to complete from scratch during reconciliation.

3. Auto-sync completed transactions to accounting systems

Connected systems can keep transaction data, documentation and coding together as information moves from expense management into accounting. That eliminates the need to manually recreate work that’s already been completed.

The result is fewer manual handoffs and less work to resolve before close.

The cumulative payoff

Individually, each of these automations removes a piece of manual work. Together, they can significantly reduce the amount of work left for finance at month-end. The most advanced finance teams work this way: they average 3.6 live AI capabilities, compared with 0.5 among teams just getting started. 

The potential payoff is significant: among finance teams furthest along in AI adoption, 81% report reduced close times and 80% report less manual review.

Those gains build as automation matures. Reported reductions in close time rise from 5% at the earliest stage of AI adoption to 42% at the next stage and 81% among the most advanced teams.  

Finance teams don’t have to automate every part of the close at once. Starting with one repetitive, high-friction workflow can reduce the amount of unfinished work that reaches month-end. From there, teams can measure the impact and automate more of the process over time. 

From months late to closing within the month

Cypressbrook, a property management company with spending happening across its portfolio, shows what that can look like in practice. Missing receipts, manual GL coding and incomplete reconciliation could push expenses into future periods. At times, the company was closing its books two to three months late.

“(PEX) is a time saver. The onboarding is quick, and reconciling is so much easier with Auto Enforcer and being able to add GL codes. I would always recommend PEX.”

Brenda Ladewig, Accountant, Cypressbrook Multifamily Management, L.P.

With PEX, Cypressbrook moved more of that work upstream. Managers now submit receipts as transactions happen and assign GL codes using AI-powered suggestions. Complete expense data can move into the accounting system without finance re-entering it.

Those changes mean less cleanup is waiting at month-end. Cypressbrook now closes its books within the month and saves five hours every month on reconciliation.

How PEX helps reduce month-end cleanup

PEX helps finance teams complete more expense work throughout the month, so there’s less left to resolve during close.

• Capture receipts earlier. Cardholders can submit receipts through the PEX mobile app, text or email. AI-enabled receipt matching connects documentation with the corresponding transaction, while automated workflows follow up on missing receipts, notes and tags before they become month-end cleanup

• Code transactions sooner. PEX supports pre-programmed GL coding based on merchant data mapping, helping transactions map to the right codes automatically

• AI-powered GL coding can also suggest codes based on transaction details and historical coding patterns, with users able to review and adjust the suggestions

• Keep completed data moving. More than 50 pre-built accounting integrations automatically sync transaction data, receipts and coding into accounting systems. That reduces manual data entry and helps keep expense information current as finance moves toward close

With less cleanup waiting at month-end, teams can close the books sooner, get accurate financial information into leaders’ hands faster and spend less time on repetitive administrative work. In other words, your team can do more without adding more work. 

See how your finance team compares. Download PEX’s 2026 State of Finance report to explore the findings and benchmark your team’s automation progress.