Replacing Excel with an Application: When Does It Make Sense?

In many businesses, there is that one Excel file. It calculates prices, generates documents or tracks the status of orders. It has grown over the years until it does exactly what the business needs.

Often, one person built it. What happens when that person is unavailable or the file needs to change?

You may have wanted to tidy up the process for a long time. But a custom application sounds like a major project with a high price tag. Today, it is worth revisiting that assumption: AI can support software development and reduce the effort required for some tasks. Whether and how much that changes the total cost depends on the project.

Your Excel file is already a custom solution

A spreadsheet that has grown over time is often more than a list of numbers. Its formulas, macros and workflows contain knowledge accumulated over years: Which conditions apply to which customer? When should a document be created? What happens in an exceptional case?

That knowledge is valuable. The difficulty comes when nobody apart from the person who built the file understands how it all fits together. Changes become risky, errors are hard to trace and a single file carries a lot of responsibility. Collaborating, managing access or connecting other systems can also become difficult.

That does not mean every spreadsheet needs replacing. Excel can still be the right tool for a straightforward analysis or a flexible draft. The question changes when an important process depends on it every day and an outage or mistake would have real consequences.

What happens when Excel runs an entire process?

In one pargoo project, an Excel solution used macros - automated steps inside the file - to generate letters and update their status. The Excel workflow was fragile; the subsequent software solution was faster and more stable.

The example shows what matters in a replacement: copying cells into a new interface is not enough. First, you need to understand the rules behind the letters and status changes, including the exceptions that come up in daily work. Only then can you decide how the process should work in an application.

AI was not used in that project. Today, it can support steps like these during development.

How AI helps with development

AI can help developers analyse existing formulas and macros, describe how they fit together and raise questions about possible exceptions. During implementation, it can also assist with writing code and creating tests.

It does not replace the knowledge of the people who understand the process or the need for them to validate the results. AI can misinterpret rules or miss exceptions. The people responsible for the process and the development team need to check together that the new application produces the right results, especially in rare but important cases.

The distinction matters: here, AI is a tool used during development. The finished application does not need to contain AI. It can be a clearly structured piece of software that carries out defined rules.

What does a custom application cost today?

AI can speed up individual development tasks. In our view at pargoo, that can make a custom solution less expensive than developing it without this support. There is no universal saving: the effort depends on factors such as how understandable the existing file is, the number of exceptions, the integrations needed and the quality of the data.

Introducing the application to the team, operating it and making future changes should also be part of the cost assessment. At the same time, consider the current situation: How much knowledge depends on one person? How much work goes into manual checks? What happens if the file is unavailable or an error goes unnoticed?

A useful first step is to analyse the process and define a manageable initial scope. This helps you assess which solution fits and what budget it requires before committing to a full project.

The person behind the spreadsheet still matters

The person who built the file often knows its rules and exceptions better than anyone else. It is understandable if they are initially sceptical about replacing it: they have spent years creating a solution the business relies on.

That is why they should be involved from the start. Their knowledge helps the team understand the existing logic and check the new application. Depending on the technical solution and their experience, they may also help shape future changes or continue working on the software with AI assistance. The project team can agree on what makes sense for their situation.

Software should be enjoyable to use

An application is only helpful if people can and want to use it in their daily work. In another project at an industrial company, a large Excel file was used for documentation and automated reporting. In the end, people did not fill it in, so the data needed for the reports was missing.

That raises a question for any new system: is entering information clear and practical for the people doing it? A clear interface, sensible defaults and early feedback from the team can help.

Software needs to work. It can also be enjoyable to use.

Keep Excel, choose an off-the-shelf product or build your own?

Not every established process needs a custom application. These questions can help you assess your options:

• Keep and improve Excel: Is the process straightforward, used by only a few people, and easy to document and assign responsibility for? Tidying up and better protecting the file may be enough.
• Consider off-the-shelf software: Does an existing product cover your most important requirements, and can you work well with its built-in workflows? If so, assess data migration, integrations and ongoing costs too.
• Consider a custom application: Does the process involve many specific rules? Do available products require substantial compromises? Is the process important to your business? If so, a custom solution may be worth exploring.

The first step does not have to be a major investment. Start with the file that an important workflow relies on. Speak to the people who use and maintain it. Document what works well, where uncertainty arises and which rules must be preserved.

At pargoo, we can look at your existing process with you and explore the right next steps, from analysis to implementation. Find out more about our approach on our services page.