Process Automation in Business: Why the greatest potential lies in small processes
1,400 times a month, an automated workflow at one of our industrial clients creates a complete project structure including all permissions. This used to be done manually; today, it runs in the background. It is precisely these small, unassuming processes that often hold the greatest potential for digital transformation, not the large AI or cloud projects that are most often discussed. When companies talk about digital transformation, the conversation often revolves solely around artificial intelligence, cloud solutions, or new software. Yet the very processes that cost time every day are overlooked: creating a folder structure, transferring data from one system to another, obtaining approval via email, moving documents, and entering information multiple times. Each of these tasks seems insignificant on its own, but they repeat daily, weekly-endlessly.
Learn more about this real-world example in our case study.
Why small processes make a big difference
Many companies look for the one big solution that will fundamentally transform their operations. In practice, however, measurable improvements often come from optimizing small, recurring tasks. The reason is simple: routines barely register in everyday work. They're just part of the job. At the same time, the time spent adds up significantly over weeks and months. One example: if a recurring task takes just three minutes and is performed 30 times a day, that already adds up to an hour and a half of work per day — for a single process. There's another factor at play: wherever people repeatedly perform the same manual steps, errors inevitably occur. Files get misfiled, information gets forgotten, permissions aren't assigned correctly. Every one of these errors costs additional time.
Which processes are suitable for automation?
Not every workflow should be automated. Processes that follow clear rules and recur regularly are especially well suited. These include, for example:
- creating standardized project or client folders,
- approval and release processes,
- transferring data between different applications,
- recurring notifications and reminders,
- processing incoming requests,
- and creating standardized documents and reports.
What these processes have in common is that they require few individual decisions and can therefore be reliably supported digitally.
The most important step happens before automation
Anyone thinking about automation often starts by looking for the right software. But first, the existing workflow should be examined more closely. Helpful questions include:
- Which tasks repeat daily or weekly?
- Which work steps cause the greatest amount of time spent overall?
- Where is information entered multiple times?
- Which activities regularly lead to follow-up questions or errors?
- Which workflows could function according to fixed rules without manual intervention?
Only once the process is understood and sensibly structured can you assess where automation actually adds value.
Process automation doesn't have to be a major project
Anyone thinking about automation often starts by looking for the right software. But first, the existing workflow should be examined more closely. Helpful questions include:
- Which tasks repeat daily or weekly?
- Which work steps cause the greatest amount of time spent overall?
- Where is information entered multiple times?
- Which activities regularly lead to follow-up questions or errors?
- Which workflows could function according to fixed rules without manual intervention?
Only once the process is understood and sensibly structured can you assess where automation actually adds value.
Conclusion
The greatest automation potential often lies in tasks that have long become second nature. It's precisely the small, recurring routines that, in sum, tie up a lot of time and are especially prone to errors.
Anyone who systematically examines these workflows and automates them selectively creates more consistent processes, reduces manual errors, and frees up capacity for tasks that require experience, collaboration, and creativity.
Digitalization, therefore, doesn't necessarily start with new technology - it starts with a close look at everyday work.