A blog post about Finance ? Really ? Yes. Bear with me.
How do you test the digital maturity of any company? Here’s my simple test: try to get a 30-minute meeting booked with a couple of key operational people from their finance team. Oh, and also, try to book it in the first week of a new month or a new quarter.
The response is almost always the same: a polite decline, a suggestion to meet in two weeks (if you’re lucky). To quote Tom Waits: “It’s closing time.” The books are being closed, and the finance team has effectively hung a big, fat “Do Not Disturb” sign on its door for the entire business.
Which leads me to a fundamental question:
In an era of cloud computing, AI, and big data, why haven’t I encountered a single company where the financial close isn’t a manual, all-hands-on-deck fire drill?
Why are we still so dependent on sheer manpower to perform one of the most fundamental business processes? This is what I will explore in this article. Read on not only to get an understanding of why things are the way they are, but also how to have what I call a no-drama close.
Why Month-End is a Mess in Finance
From the outside and to non-Finance people, it may seem simple: add up the revenues, tally the costs, and produce the core financial statements. But as a data & AI strategist, when I look under the hood, I actually see a perfect storm of systemic issues that make this “simple” task a huge effort. Every single time.
Let’s look at some of the reasons why.
1. Garbage in, Gospel out
The good news for our Finance Bros is that the core of the problem, of course, isn’t finance; it’s the data flowing into finance. The finance team is often the last stop for data from dozens of systems: the CRM, the ERP, HR platforms, logistics software, etc. If that data is messy, inconsistent, or late, finance doesn’t get to do accounting. They have to do data janitorial work. They spend days, not hours, manually cleaning, validating, and reconciling numbers that should have been correct at the source. It’s the classic “garbage in, gospel out” problem, where they’re expected to produce pristine reports from flawed raw materials.
2. Control vs. Efficiency
Finance professionals are, by nature and necessity, meticulous and risk-averse. They are the gatekeepers of the company’s financial integrity. This instinct for control is vital, but it can also show up as a deep-seated scepticism towards far-reaching automation. A process run by a machine can feel like a “black box.” Many finance leaders want their teams to be able to “touch and feel” the numbers. The result? A preference for the familiar, manual control of an Excel sheet over a more efficient, automated system they don’t fully trust yet.
3. The Human Factor or “This is How We Do It”
Beyond the technical and process challenges lies the most powerful force in any organisation: inertia. People get comfortable with their routines. The month-end scramble, as stressful as it is, is a known quantity. The team knows how to handle it. Proposing a new system or a redesigned process means learning new skills and venturing into the unknown. Often, this change is considered a greater risk than simply struggling through the “busy week” one more time. It’s not laziness; it’s a natural aversion to change.
4. The Wrong Question
The status quo persists because we ask the wrong questions. We ask, “Did we close the books on time?” instead of asking:
- What if the goal of the finance team wasn’t just to report on the past, but to model the future? Freeing them from the manual grind unlocks their true strategic value.
- Why is “closing” a frantic event instead of a continuous, automated process? The technology exists for a “continuous close,” where transactions are reconciled in near real-time.
- What is the opportunity cost of having our brightest financial minds spend 25% of their time copying and pasting data? Instead of analysing performance and advising the business, they’re stuck in the operational weeds.
The Path to a “No-Drama” Close
So, how do we get to a place where scheduling a meeting during the close is actually possible? It requires a fundamental shift, moving beyond just buying new software.
- First, treat data like a product. This means establishing ruthless data governance and quality standards at the source. Finance should be the consumer of high-quality data, not the fixer of everyone else’s data problems. This involves making business units accountable for the data their activities generate.
- Second, automate intelligently, not just for automation’s sake. Before applying any technology, use tools like process mining to understand how the close actually gets done today. Identify the real bottlenecks and redundancies. Then, apply smart automation—like AI for anomaly detection or machine learning for predicting accruals—to augment human capabilities, not just mimic repetitive clicks.
- Finally, reframe the mission of the finance team. The goal of digital transformation isn’t to do the same work faster; it’s to elevate the work itself. Automation should be positioned as the tool that frees finance professionals from routine tasks, allowing them to become true strategic business partners. This transforms the conversation from one about job security to one about career growth and impact.
What Are the Limits of a “No-Drama” Close?
Can we fully automate everything? Probably not. There will always be a need for human judgment to handle unforeseen or complex transactions, interpret results, and communicate the story behind the numbers. An auditor will always want to talk to a human.
But the goal isn’t a “lights-out,” zero-human finance function. The goal is a “no-drama close”: one that is predictable, efficient, and largely automated. One where the team’s energy is focused on analysis and insight, not on manual reconciliation.
The next time your meeting request with the finance team gets declined, don’t just accept it. Ask why. The answer could be the starting point for the most valuable transformation your company ever undertakes.
Tired of the month-end “fire drill” and watching your team stuck in data clean-up?
Contact us and see how leading companies have successfully transformed their processes to save time and prevent chaos.