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Why process optimisation comes before any automation
In many Swiss SMEs, processes have grown over years. A quote is written in Word, the invoice in another program, and the addresses sit in three lists. Everyone on the team knows how it works, but nobody has ever written it down. As long as everything runs, hardly anyone notices. But as soon as someone goes on holiday, a new employee starts or order volume rises, it becomes clear how much time is lost in detours, follow-up questions and duplicate data entry.
Automate straight away in this situation and you set the detour in stone. A bad process that runs automatically is still a bad process, just faster. That’s why we start by looking at the big picture. We clarify what a process is actually meant to achieve, which steps it really needs and which exist only out of habit. Often this step alone brings noticeably more speed and fewer errors, with no new software at all. And it creates the foundation on which automation and AI really pay off later.