AI: How a company saves 198,000 euros through a single application

From hype to returns: The Otto Group and German medium-sized companies are demonstrating how AI applications are moving beyond the pilot phase. Through targeted integration into the value chain, one company is already achieving annual savings of 198,000 euros.

AI: How a company saves 198,000 euros through one application

The phase of pure experimentation with artificial intelligence is increasingly giving way to hard business calculations in the German economy. In mid-November 2026, current practical case studies prove that the use of AI applications has left the pilot phase and is delivering measurable financial returns. While large corporations like the Otto Group are already using complex infrastructures, the example of a German medium-sized company shows how a targeted AI solution can generate savings of 198,000 euros per year. This development marks a turning point for management, as the focus is now increasingly on scalability and integration into existing business processes.

From hype to measurable efficiency increases

For a long time, abstract promises about the potential of generative AI dominated discussions in boardrooms. Now, concrete key figures are moving into the foreground. At the Otto Group, it is becoming clear that AI no longer functions merely as an assistance system for texts, but intervenes deeply in the value chain – from logistics optimization to personalized customer communication. Those responsible emphasize that success does not depend on technology alone, but on the ability to prepare the organization for these changes. Meanwhile, in the SME sector, it is evident that even specialized applications in administration or customer service are sufficient to save six-figure sums by automating routine tasks and reducing error rates.

Changing requirements for management education

This dynamic has a direct impact on the requirements for future managers and is reflected in the curricula of modern MBA programs. The ability to calculate and implement business cases for technological innovations is becoming a core competency. It is no longer just about a theoretical understanding of algorithms, but about change management and the ethical and economic evaluation of AI projects. Academic providers in the DACH region are responding by firmly integrating modules on data literacy and AI strategy into their general management programs. The goal is to train managers who can distinguish between short-term technology trends and sustainable efficiency gains.