Many companies save time with AI, yet this rarely shows up in the bottom line. In the second edition of the online dialogue “KI-Adoption im Mittelstand” (AI adoption in the German Mittelstand), Peter Kramer (CTG Consulting) and Simon Kozlik (heuristiq AI Studio) show why this is the case and how it can be changed.
The PDF summarises the path to a robust business case in four steps: choose a value stream with a clear P&L lever and an owner, rather than pursuing ten use cases in parallel. Measure the baseline before building, separating working time from waiting time. Redesign the process, because only the redesign turns faster tasks into better results.
For managing directors and decision-makers who want to see AI investments not only justified but actually reflected in the results.
