AI in the Mid-Market: Why Structure Matters More Than Technology
Many mid-sized companies hesitate to adopt AI in a structured way — rarely out of technology scepticism, but out of uncertainty: which use cases genuinely pay off? How do you stay compliant with the EU AI Act without overwhelming internal processes? And how do you stop a single pilot project from going nowhere?
My experience as a Certified AI Manager shows: the limiting factor is rarely the technology itself — it’s the missing structure to turn individual experiments into a company-wide approach. Three levels determine whether AI genuinely takes hold: employees’ underlying mindset, the practical skillset around how the tools work, prompting, and data security, and disciplined use of specific tools in daily work. Bringing these three together is what turns a one-off pilot into a resilient roadmap.