The Automation Checklist: Which Excel Processes Are Worth It

For many finance teams in Swiss SMEs, the question is no longer whether to automate, but where to start. The month-end close is complete, and the reports are generated. Yet, recurring routines in Excel remain a source of manual effort and potential errors. A well-founded cost benefit analysis automation SME leaders need is essential to set the right priorities. A structured automation potential analysis finance teams can use helps to objectively decide which excel processes to automate first. This article provides a checklist with four criteria for this purpose.

The Starting Point: An Inventory of Your Excel Routines

Before an assessment can take place, you need an overview. Create a complete list of all recurring tasks your team performs in Excel. These typically include preparing monthly reporting, liquidity planning, consolidating budget data, or preparing figures for the VAT return. Every process that recurs regularly is a candidate.

Describe each process in bullet points. What is the trigger, for example, a data export from the ERP system? What manual steps follow — copying, formatting, supplementing, and validating data? What is the final result, a report for management or a file for a public authority? This inventory is the basis for a systematic analysis and decision.

Criterion 1: The Frequency of the Process

The frequency of a task is an obvious first indicator. A process that is performed daily holds greater cumulative savings potential than a task that occurs only once a quarter. Automation aims to save time and reduce errors, especially for tasks that follow a specific logic and are repetitive (Excelhero 2023). The more frequent the repetition, the greater the leverage of automation.

However, consider not just the frequency, but the total time spent. A weekly task that takes four hours is a more significant candidate than a daily routine of ten minutes. Multiply the estimated time per execution by the number of executions per year. This gives you a comparable metric for the manual effort of each process. This calculation objectifies the discussion and directs the focus to the biggest time sinks.

Criterion 2: The Error-Proneness and Its Consequences

Manual data processing in Excel is error-prone. A wrong click, an overlooked row when copying, or a faulty formula can compromise data integrity. Such processes become particularly critical when data is regularly transferred, copied, and supplemented manually from other systems, such as an ERP system (Kärcher 2026). These interfaces are often the weakest links in the chain from the ERP export to the final report.

Assess not only the probability of an error but also its potential consequences. An error in an internal controlling report is annoying and requires corrections. An error in the VAT return or the annual financial statements, however, can have financial and legal consequences. Processes with high risk and severe impacts are priority candidates for automation, as it significantly increases process reliability.

A well-known example from the UK illustrates the risks of technical limitations. There, the use of outdated Excel templates (.XLS) for recording COVID infections resulted in almost 16,000 cases not being recorded because the maximum number of rows in the spreadsheets was reached (Zühlke 2021). This shows how quickly technical constraints or human oversight can lead to significant data loss and flawed decision-making bases. An automated process could have detected or bypassed this limit.

Criterion 3: The Complexity and Degree of Standardisation

A process must follow a clear logic to be automated (Excelhero 2023). Tasks that require human judgement or creative problem-solving at each execution are not suitable for simple automation. It is important to distinguish between complicated and complex processes. A complicated process can have many defined steps and is often an ideal candidate. A complex process, on the other hand, is characterised by unpredictable variables and decisions.

The degree of standardisation is crucial. Does the process run exactly the same way every time? Or does an employee intuitively adjust the steps depending on the situation? A process that is already well-documented and follows fixed rules can be automated more easily and quickly. If a process is not standardised, this step must be taken before automation. Defining fixed rules is often a large part of process optimisation itself.

Modern tools expand the possibilities. For instance, the automation of Excel tasks using Robotic Process Automation (RPA) can be done even without an installed version of Excel on the executing system (Automation Anywhere 2026). This facilitates integration into higher-level business processes where data is exchanged between different applications — for example, the ERP, a CRM, and Excel — without an employee having to intervene manually.

Criterion 4: The Strategic Value of the Outcome

The final criterion assesses the benefit of the process outcome. Does the Excel report merely serve for filing, or is it a central basis for important business decisions? The automation of a process that delivers a critical key figure for management has a higher strategic value than the automation of a purely administrative task.

The true value of automation often lies not just in time savings. It lies in freeing up capacity for higher-value activities. When the creation of the weekly liquidity forecast is automated, the controller can concentrate on analysing the figures, commenting on deviations, and developing actionable recommendations. The finance department thus transforms from a mere provider of numbers into a strategic partner for management.

Therefore, prioritise processes whose automation allows your team to focus more on analysis and advisory services. The time saved thus becomes not just an efficiency gain, but an investment in the quality of your finance function and the steering of the company.

Your Next Steps for the Potential Analysis

With these four criteria, you can now conduct a systematic evaluation of your Excel processes. This approach creates an objective and transparent basis for decision-making. It transforms the general need for automation into a concrete, prioritised plan.

• Create a simple matrix, for example, in Excel.
• List your identified, recurring processes in the rows.
• Enter the four criteria — frequency/effort, error-proneness/risk, degree of standardisation, and strategic value — as column headings.
• Rate each process for each criterion on a uniform scale, for example, from 1 (low) to 5 (high).
• The sum of the points per process creates a ranking. The process with the highest score is your most promising starting point for automation.

This analysis is more than just an exercise. It is an internal strategy document for the further development of your finance processes. It clearly shows where the greatest levers for efficiency and quality improvements lie. With this data-driven prioritisation, you can purposefully take the initiative and realise the greatest possible benefit for your company.

Excel and Microsoft are registered trademarks of Microsoft Corporation. Other product and company names mentioned may be trademarks of their respective owners.