Month-end close is one of the most visible indicators of how well a finance function operates. When it runs smoothly, reporting flows into the business with minimal disruption. When it does not, the impact is felt across every level of the organization.
In many cases, the problem is not the absence of systems. It is how work moves between them.
Despite widespread ERP adoption, finance teams continue to rely on spreadsheets, manual reconciliations, and informal coordination to complete core close activities. What begins as a practical workaround gradually becomes embedded in the operating model, introducing delays, duplication, and increasing effort with each reporting cycle.
Recent data reinforces how persistent this issue remains. A 2025 benchmark found that 94% of finance teams still rely on Excel during the close process, with spreadsheet-driven workflows continuing to slow reconciliation and delay reporting cycles.
Meanwhile, a 2025 update from Deloitte highlights that organizations are under increasing pressure to deliver faster, more insight-driven reporting, as business leaders demand real-time visibility into performance and decision-making.
For the organization in this case study, these pressures had reached a tipping point.
The month-end close had extended to 12 days, forcing the finance team to work extended hours. At the same time, the operational teams were repeatedly pulled into reconciliation efforts.
The assumption was that this was the cost of operating a complex manufacturing and distribution business.
The reality was that the underlying issues were structural, and thankfully, solvable.
The organization operated across multiple sites, combining manufacturing and distribution activities within a single financial reporting structure.
This created a financial environment with several layers of interdependency.
Accounts payable and receivable processes generated high transaction volumes daily. Inventory movements needed to be captured accurately across locations. Production orders introduced work-in-progress calculations that had to align with financial reporting. Expense submissions from employees added another stream of financial activity, often with inconsistent timing.
Each of these processes fed into the month-end close.
Individually, they were manageable. Collectively, they created a system where timing, sequencing, and accuracy became increasingly difficult to coordinate.
Over time, the organization adapted by introducing workarounds:
These adjustments kept reporting moving, but they also introduced new dependencies. As transaction volumes increased, so did the effort required to manage them.
The close process became less about executing a defined workflow and more about coordinating across fragmented activities.
A detailed analysis of transaction flows and finance processes revealed that delays were not caused by a single failure point. Instead, they were the result of multiple inefficiencies interacting across the close cycle.
These issues were not always visible in isolation. They became most apparent during period end, when timing constraints exposed the underlying friction in the system.
Supplier invoices entered the organization through multiple channels, including email, paper, and digital uploads. Without a standardized intake process, invoices often required manual intervention before they could be recorded in the system.
This created delays at several points:
These issues compounded as the close approached. Finance teams were often required to chase approvals, correct entries, and ensure that invoices were properly reflected in financial results, all within a compressed timeframe.
Organizations that rely heavily on manual invoice processing experience significantly longer cycle times and higher rates of exception handling. In this case, invoice processing was a key driver of downstream delays.
Inventory plays a central role in both operational performance and financial reporting. When inventory movements are not recorded accurately and in real time, the impact extends directly into the close process.
In this organization, inventory transactions were not consistently captured as they occurred. Instead, adjustments were often made later in the process, particularly near period end.
This created several challenges:
Inventory accuracy was approximately 89%, which meant that a meaningful portion of financial reporting required adjustment before it could be finalized. Leading organizations target inventory accuracy levels above 95% to support both operational execution and financial reporting integrity.
The gap between current performance and this benchmark represented a significant source of inefficiency.
Production orders are a critical link between operational activity and financial reporting. When they are not closed in a timely manner, the impact is felt across work-in-progress calculations and financial statements.
In this organization, production orders often remained open after physical completion. This created a disconnect between what had occurred operationally and what was reflected in the financial system.
As a result:
This timing mismatch introduced uncertainty into the close process and increased the amount of manual intervention required.
Employee expense submissions introduced another layer of complexity.
Expenses were frequently submitted late, often with incomplete documentation. This required finance teams to follow up with employees, validate receipts, and determine appropriate accounting treatment.
During the close cycle, this created additional pressure:
While each individual expense was relatively small, the cumulative impact on the close process was significant.
In addition to process inefficiencies, the organization faced technical limitations within its ERP environment.
System performance issues included:
In practice, this meant that certain close activities could not begin until others had completed. For example, financial processing could not start until inventory close had finished, creating a sequential bottleneck.
These delays were not always visible in day-to-day operations, but they became critical during period end, when timing was constrained.
The impact of these issues extended well beyond the finance function and into the day-to-day operation of the business.
Month-end close became a cross-functional effort, requiring constant coordination between finance, operations, and supply chain teams. Finance staff worked extended hours to reconcile discrepancies and complete adjustments, while operational teams were regularly pulled away from their core responsibilities to investigate data gaps and resolve issues late in the cycle.
What should have been a structured reporting process instead became a recurring disruption, placing strain on both people and processes.
Organizations with inefficient close processes not only incur higher operating costs but also struggle to respond to changing business conditions on time.
In this case, the close process had become:
The organization needed a different approach.
To address these challenges, the organization implemented a modern ERP platform alongside Process Pilot to analyze transaction-level data across finance and operations.
This was not simply a system upgrade. It was a shift in how processes were understood and managed.
Rather than relying on assumptions about how work should flow, the organization examined how it actually flowed.
Process Pilot provided visibility across the full lifecycle of financial transactions, including:
This allowed the organization to see where delays occurred, how processes interacted, and where rework was introduced.
The analysis revealed that many of the issues experienced during close were not isolated problems. They were symptoms of underlying process design.
For example:
By identifying these patterns, the organization was able to focus on root causes rather than repeatedly addressing symptoms.
With a clear understanding of how processes operated, the organization implemented a series of targeted improvements.
These changes focused on how work was structured, rather than introducing additional layers of oversight.
Invoice intake and processing were standardized to reduce variability. Approval workflows were structured to ensure consistent routing and timely completion.
This reduced delays and eliminated a significant portion of manual intervention.
Inventory movements and production order closures were aligned more closely with real-time activity.
This reduced the need for estimates and allowed financial reporting to reflect actual operations earlier in the close cycle.
Defined cut-off points were introduced across finance and operations.
This ensured that transactions were recorded within the appropriate period and reduced the volume of late adjustments.
Technical improvements were implemented to reduce processing delays.
This included optimizing scripts, addressing infrastructure bottlenecks, and enabling more efficient execution of close activities.
A focus on accuracy at the point of entry reduced the need for downstream corrections.
Transactions were recorded correctly the first time, reducing rework and improving overall process efficiency.
The impact of these changes was measurable across multiple dimensions.
Month-end close was reduced from:
12 days → 5 days or less
The close process became more structured and significantly less disruptive to the organization.
Invoice cycle times improved by over 40%.
This reduced approval delays and minimized corrections during the close cycle.
Inventory accuracy improved from approximately:
89% → at least 95%
Production orders were closed closer to real-time completion, stabilizing work-in-progress earlier in the close process.
Expense submission timeliness improved significantly, reducing the need for manual accruals and adjustments.
Manual rework was reduced across accounts payable, accounts receivable, inventory, and work-in-progress processes.
Overtime requirements decreased, and finance teams were able to allocate more time to reporting and analysis.
The impact of the transformation was felt immediately beyond the finance function.
Management accounts were delivered earlier in the reporting cycle, giving leadership more time to interpret performance, respond to emerging trends, and make decisions while they still mattered. Instead of reviewing results weeks after period end, the business was able to engage with financial outcomes in a more relevant timeframe.
Operational teams also experienced a meaningful shift. Month-end no longer introduced the same level of disruption, as fewer issues required investigation and escalation. With upstream processes running more effectively, finance and operations were better aligned, reducing the need for back-and-forth during critical reporting windows.
Perhaps most importantly, the organization moved away from a model built on workarounds and manual intervention. In its place, it established a more scalable operating foundation; one that can support continued growth while enabling future investments in automation and AI-driven optimization.
Before the transformation, month-end close was defined by sustained pressure and constant escalation. Finance teams spent much of the cycle chasing missing information, resolving discrepancies, and coordinating across departments to keep reporting on track.
After the changes were implemented, the experience shifted meaningfully. Processes became more structured, issues were identified earlier in the cycle, and the volume of last-minute adjustments declined. Instead of reacting to problems as they surfaced, teams were able to execute against a defined workflow with greater consistency.
The close process evolved from a reactive effort into a repeatable, well-sequenced operation.
With improved visibility into financial processes, the organization is now positioned to continue refining performance.
The same data that supported the initial transformation can now be used to identify further opportunities for improvement.
This creates a continuous improvement cycle, where processes are regularly evaluated and adjusted based on actual performance.
Many organizations view long close cycles as an unavoidable outcome of complexity.
In reality, the constraint is often not the system, but the process.
When transaction flows, timing, and responsibilities are not aligned, inefficiencies accumulate and become embedded in the operating model.
By analyzing how processes actually operate, organizations can identify where improvements will have the greatest impact.
If your finance team relies on manual reconciliations, spreadsheets, and late adjustments to complete month-end close, the opportunity for improvement may already exist in your data.
Process Pilot helps organizations uncover where financial workflows are slowing down operations and where changes can be made.
Discover what Process Pilot can uncover in your finance processes.
Schedule a chat with SNCL.
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