Many companies know what they are doing – but not always exactly how they are doing it.

Processes run, systems work, teams make decisions. But where do frictional losses occur? Where does reality deviate from the plan?

In our new webinar series, we will show you how you can use data-driven methods to gain clarity about your real processes – and how AI helps to translate this insight into real control capability.

A modern digitization project without AI – is that even conceivable or justifiable?

The answer is as sobering as it is liberating: YES!

Many current problems can still be solved effectively with classic process automation. While companies invest considerable resources in AI initiatives, the return on investment of which often takes years to materialize, proven automation approaches can deliver measurable results within months.

The key challenge lies not in the technology itself, but in the correct allocation: which approach addresses which problem most effectively? This article guides you through the strategic decision-making process and highlights the differences between classic process automation, intelligent process automation (IPA) and autonomous AI agents.