Automation

The Automation Potential Analysis: A Strategic Framework for the Finance Team

Emanuel Flury·25 October 2026·6 min read
A controller sits at a desk in a Swiss office, reviewing a complex Excel spreadsheet on his screen during the month-end closing.

The conventional potential analysis for automation projects falls short if it only measures hours saved. A strategic framework assesses the contribution to data quality, resilience, and decision-making.

Finance departments are actively seeking opportunities for automation. Conducting an automation potential analysis in the finance department is a key step in this process. However, many companies focus on a simple metric: the hours of work saved. This approach is understandable, but it fails to capture the full value. A modern analysis must go deeper and assess the strategic contribution of automation. It is about more than just efficiency. It is about the quality of decisions, the stability of processes, and the future viability of the company.

Beyond Time Savings: The Qualitative Value of Automation

Simply calculating the hours saved leads to an incomplete assessment. It suggests that automation merely speeds up existing processes. However, the true potential lies in the qualitative improvement of the work. Finance teams spend a great deal of time on repetitive tasks such as collecting, reconciling, and formatting data. This work is prone to errors and ties up valuable resources.

Automation frees qualified professionals from these manual tasks. The time saved is not spent in unproductive phases but is channelled into higher-value tasks. These include analysing variances, developing scenarios, and providing strategic advice to management. The role of the finance team is transforming — from a mere data administrator to a strategic partner.

Tools like Microsoft 365 Copilot illustrate this development. The direct integration of AI into familiar workflows reduces fragmentation and accelerates decision-making. Teams can revise content more efficiently, thereby improving the quality of their analyses (Microsoft 2026). Automation thus lays the foundation for more informed and faster decisions throughout the company.

Data Quality and Resilience in Uncertain Times

Manual processes are one of the greatest threats to data quality. Every copy-paste action, every manual adjustment in an Excel spreadsheet, is a potential source of error. These errors can go undetected and lead to incorrect conclusions and flawed reports. Automated processes largely eliminate these risks. They ensure that data is processed consistently and traceably.

The chain from ERP export to the final report becomes robust and transparent through automation. Every step is documented and repeatable. This increases confidence in the financial figures, both internally and externally. Studies confirm that digital transformation has a positive and significant effect on the quality of accounting information (Accounting, Finance and Computational Intelligence 2024).

This effect is particularly important in an uncertain economic environment. External uncertainties increase the pressure on the finance department to provide reliable and up-to-date information. Digital technologies are crucial for maintaining the quality of accounting information under unstable business conditions (Accounting, Finance and Computational Intelligence 2024). High data quality is not an end in itself — it is the foundation for the company's resilience in times of crisis.

Another aspect of data integrity is fraud detection. Complex manual processes can make it difficult to uncover irregularities. Modern algorithms can provide support here. The combination of text analysis of annual reports, complexity indicators, and anomaly detection algorithms significantly improves the identification of fraudulent financial statements (Journal of Management and Business Solutions 2024). An autoencoder neural network achieved an accuracy of 0.93 in this process (Journal of Management and Business Solutions 2024). Automation therefore also strengthens internal control systems.

Supporting Strategic Goals: From ESG to Macroeconomics

A potential analysis should also assess how automation supports overarching corporate goals. A current example is the requirements for sustainability reporting (ESG). Collecting and preparing non-financial key figures is often a manual and time-consuming process. The data comes from various sources and must be consolidated and verified.

Automation can structure this process and ensure data quality. This is not just a matter of compliance. Well-founded sustainability reporting can have a positive impact on financial performance. A study in the pharmaceutical sector showed that green accounting has a positive and statistically significant impact on financial performance (Jurnal Literasi Akuntansi 2025). Automation creates the data-technical foundation to make sustainability efforts measurable and controllable.

The quality of financial reporting even has an impact on a macroeconomic level. A study on Iran's economic data found that conservative accounting had a negative and statistically significant effect on economic volatility (Accounting, Finance and Computational Intelligence 2023). Strengthening conditional conservatism in financial reporting can contribute to macroeconomic stability (Accounting, Finance and Computational Intelligence 2023). Automation, as a means of ensuring high-quality and consistent reporting, thus makes an indirect contribution to the stability of the economic environment.

A Framework for Your Potential Analysis

A comprehensive potential analysis for automation projects in the finance department should go beyond mere time savings. We recommend systematically evaluating the following dimensions. These questions will help you to capture the true strategic value of an automation project.

  • Strategic Alignment: How does automation support our company's overarching goals? Does it contribute to risk mitigation, the development of new business opportunities, or the strengthening of our market position?
  • Data Integrity and Resilience: How does automation improve the quality, consistency, and traceability of our financial data? Does it strengthen our ability to produce reliable reports even in volatile times?
  • Decision-Making: Does automation enable management to make faster decisions based on better data? Are analytical capacities freed up within the finance team?
  • Scalability and Future-Proofing: Is the proposed automation solution flexible enough to grow with the company? Can it be adapted to future regulatory changes or new reporting requirements?
  • Employee Development and Satisfaction: How does automation change the roles and tasks within the finance team? Does it promote the development of analytical and strategic skills and reduce monotonous, error-prone work?

The Next Steps This Month

You do not have to wait for an external partner to begin a strategic analysis. You can lay the groundwork for an informed decision today. Select a recurring process from your month-end closing, for example, the creation of a specific report.

Document the process from start to finish. Note down every single manual step, from the ERP export to the final figure. Do not just record the time required. Instead, identify the critical points: Where do errors frequently occur? Where do assumptions have to be made because data is missing? At which points is the process not transparent?

Discuss this documentation with your team. Do not ask the question: “How can we do this faster?”. Instead, ask: “What could we do with this information if it were always correct, complete, and instantly available?”. This perspective shifts the focus from pure efficiency gains to strategic potential. You will thereby create a solid foundation for any further discussion about automation.

Microsoft, Copilot, Excel, Power BI and Dynamics are registered trademarks of Microsoft Corporation. SAP is a registered trademark of SAP SE. Abacus is a registered trademark of Abacus Research AG. bexio is a registered trademark of bexio AG. Sage is a registered trademark of The Sage Group plc. Odoo is a registered trademark of Odoo S.A.

Which of your routines is worth automating, we quantify beforehand — in your own hours. Potential analysis →

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written by

Emanuel Flury
Emanuel Flury

Founder of Skopa. Nearly ten years of process automation in Fortune-500 environments, today for Swiss SMEs.

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