Finance Automation: Why Expertise Matters More Than Code

Many finance departments are looking for a finance process automation provider. The recurring tasks for month-end and year-end closing are resource-intensive. Automation promises efficiency and accuracy. However, the market for such services is confusing and full of generalists. Choosing the right partner is a decision with far-reaching consequences. It is not a purely IT project. It is a specialist finance project where the partner's domain knowledge is crucial.

The Risks of Purely IT Solutions

An automation project in finance is fundamentally different from other IT projects. The logic of double-entry bookkeeping, the requirements of accounting standards, and tax regulations are complex. A partner who brings only programming skills but lacks this specialist knowledge cannot fully understand the underlying processes. They automate a sequence of steps without grasping their accounting or regulatory significance.

This carries significant risks. An error in an automated process can go undetected and propagate for months. Incorrect postings, faulty accruals, or an incorrect VAT return are possible consequences. The repercussions range from incorrect management reports to problems during an external audit. The risk of faulty automation can therefore be greater than the risk of a controlled, manual process.

The complexity of reporting is in itself a risk factor. A study shows that the complexity of financial reporting is a significant predictor of fraudulent financial reports (Tehrani 2024). A poorly designed automation increases this complexity instead of reducing it. It creates a 'black box' whose internal workings are no longer comprehensible to the finance team. Ensuring correctness is delegated to an external partner who may not be able to bear the professional responsibility.

What Domain Knowledge Means in Finance

Domain knowledge in a finance context goes far beyond basic accounting skills. It means understanding the entire chain from the ERP transaction to the final report. A knowledgeable partner knows the typical challenges a Swiss SME faces during month-end closing. They understand the need for provisions, the logic of accruals and deferrals, and the specifics of Swiss VAT.

Such a partner speaks the language of the CFO and the controller. They can not only receive functional requirements but also critically question them and optimise them based on their experience. They know what information management needs to steer the company and how this data must be extracted from the ERP system and prepared. This understanding is the prerequisite for creating a robust and sustainable automation solution.

Automation does not replace the ERP system; it builds upon it. The partner must therefore understand the structure of ERP data exports and know how to transform them into a reliable reporting structure. Without this knowledge, an automation solution quickly becomes a fragile construct that needs to be adjusted with every small change in the ERP system or reporting requirements.

The Quality of Accounting Data as the Ultimate Goal

The main goal of automation in finance is not just to save time. It is to increase the quality and reliability of financial information. A study confirms that digital transformation has a positive and statistically significant effect on the quality of accounting information (Ebrahimi 2024). It improves transparency, reduces information asymmetries, and limits opportunistic behaviour by managers.

Well-executed automation creates traceable and standardised processes. Every step is documented and reproducible. This leads to higher data quality and strengthens confidence in the figures. However, this goal can only be achieved if the automation partner knows and can implement the criteria for high data quality in finance. They must be able to translate the principles of proper accounting into code.

The importance of reliable digital processes continues to grow in an uncertain economic environment. The same study highlights that environmental uncertainty influences the relationship between digital transformation and data quality (Ebrahimi 2024). In unstable times, fast and reliable financial data are essential for corporate management. Manual, error-prone processes then become a real business risk.

Anticipating Future Requirements: The Example of ESG

The requirements for financial reporting are constantly evolving. A current example is reporting on Environmental, Social, and Governance (ESG) criteria. What was a niche a few years ago is increasingly becoming the standard. An analysis of 22 countries shows that ESG reporting is reaching global saturation, with disclosure increasing from 89.2% in 2019 to 97.1% in 2024 (Delgado Sanchez 2027).

This development is accompanied by a pluralistic and dynamic reporting architecture where various frameworks are used in parallel (Delgado Sanchez 2027). For finance teams, this means additional complexity. New data must be collected, validated, and reported according to specific standards. An automation solution must be flexible enough to integrate such new requirements.

A pure IT service provider with no connection to regulatory topics will reach its limits here. In contrast, a partner with deep expertise in finance and accounting can anticipate such developments. They can design an automation architecture that can accommodate not only today's requirements but also foreseeable future ones.

What You Should Check When Selecting a Partner

The selection of a partner for automating your finance processes should be done carefully. It is your responsibility as a finance manager to verify the provider's professional competence. Do not rely on technical demonstrations alone. Conduct a specialist discussion. The following questions can help you assess a potential partner's domain knowledge:

• Describe the typical month-end closing process in a Swiss manufacturing or service SME.
• What is your experience with the specifics of Swiss VAT returns, particularly with mixed-use input tax?
• How do you ensure that an automation you build complies with the principles of proper accounting (e.g., GAAP)?
• An accounting standard changes. What is your process for adapting the automation accordingly?
• Who in your team is responsible for the functional correctness of the solution, and what is their professional background?
• Can you give an example where you questioned a client's functional requirement and proposed a better solution?

The answers to these questions will give you a clear picture of whether the partner just writes code or truly understands your professional challenges. A competent partner will welcome these questions and be able to provide precise answers related to the Swiss context. A generalist will remain vague or deflect to purely technical aspects.

Choosing an automation partner is one of the most important decisions for the future of your finance department. Take the time to scrutinise their professional suitability as thoroughly as their technical capabilities. A partner who speaks your language will create a solution that not only works but also sustainably improves the quality and reliability of your financial reporting.