Can it happen that AI is not the right solution for a use case?

Yes, it can. That is exactly what the AI pilot project is designed to find out.

Not every AI use case can be implemented effectively. The AI pilot project is deliberately conceived as an exploratory implementation format. It tests with real data and real code whether and how AI can take on a specific task. In some cases, it turns out that AI does not deliver the desired value given the available data, constraints, or objectives.

This is not a failure but a valid outcome of the AI use case assessment: clarity instead of assumptions. It prevents misguided investments and provides valuable input for a better, well-founded AI strategy.

Important to note: we assess whether an AI use case is fundamentally realistic before the project even starts. Ideas that, based on our experience, are not technically or practically viable, we decline. Within the project itself, we then determine how well AI can solve the task – or where its limitations lie.