Not sexy, but profitable: the invisible lever for your success

“If I’m honest, what we do isn’t particularly sexy.” Philipp Künsch says this without hesitation. After 25 years, he knows exactly how that sentence sounds. And he still says it. Because it’s true.

Our customers don’t come to us because they want to sell more. They come because something isn’t quite working. Systems that don’t talk to each other. Work that gets done twice. Processes that function, but cost more than they should. The tricky part is that you often don’t see it. It hides in everyday operations, in things that somehow work, but not really.

It often starts innocently. A system gets extended or something new is added. Only once people start working with it does it become clear how tightly everything is connected. Data is scattered, terms are interpreted differently depending on the application, processes overlap without anyone truly having the full picture. That’s when it becomes painful. Information arrives late and often only makes sense after corrections.

We’ve seen this again and again over the years. As soon as data is brought into a shared context, daily work changes. Systems remain in place, but they stop working against each other. Changes are made in one place and carry through, without having to adjust everything at once. Business teams move faster because they no longer have to wait for every technical change. You notice it most when something shifts. In grown system landscapes, even small changes tend to ripple out. Suddenly they affect multiple areas at once. When the foundation is right, the effort stays manageable and the rest falls into place.

The difference lies in the data

With AI, the discussion shifts, but the principle doesn’t. Models need access to data that is structured in a way they can understand and that behaves reliably. Without that foundation, it remains experimentation. With it, value emerges.

After 25 years, the same pattern keeps showing up. The biggest lever is not doing more, but losing less. Not sexy, that’s true. You don’t see it immediately in revenue, but you do see it in EBITDA.

​Lizard Learning:

Most companies know that their systems don’t work together perfectly. But as long as things somehow run, it gets pushed aside. What gets lost doesn’t show up in revenue. You see it where it hurts: in EBITDA and in time.

If you’re looking for a starting point, don’t begin with IT. Start with your people. Ask them where they lose time every day. Where data is transferred manually. Where someone is waiting for information that already exists somewhere else. The answers usually reveal very quickly where the gaps are.