CTG Library

AI Adoption in the German Mittelstand

An honest review after two years of AI in the Mittelstand: which assumptions have been confirmed, which have not, and why the next phase of adoption is primarily a question of organisation rather than technology.

AI Adoption in the German Mittelstand

Two years after the launch of the first AI initiatives, a clear picture has emerged in the Mittelstand: licences alone do not change work. In the online dialogue "Lessons Learnt", Peter Kramer (CTG Consulting) and Simon Kozlik (heuristiq AI Studio) took stock. This PDF summarises the key insights in a compact form.

You will learn why processes, data and responsibilities should come before tool selection, why new AI approaches need space outside established IT roles, and how time saved actually becomes measurable benefit. In addition, the conclusion shows how clear rules before the rollout increase acceptance among employees, and why models and costs should be actively managed rather than committing to a single provider.

The result: five practical guiding principles for managing directors and decision-makers who want to move AI in their own company from experiment to everyday use.

AI Adoption in the German Mittelstand

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AI Adoption in the German Mittelstand

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