For SMEs, practical AI skills that enable targeted use of AI in day-to-day operations are particularly relevant. The focus is on understanding, classification, and application, not in-depth technical expertise.
A fundamental understanding of AI and its potential applications is central. SMEs should know what types of AI exist, where they can be meaningfully deployed, and what their limitations are. This knowledge helps develop realistic expectations and avoid poor decisions. Closely linked to this is the ability to identify suitable use cases, such as along recurring processes or data-intensive tasks—a question also addressed in our article “How do I identify specific use cases for AI in my company?”
Equally important is the competent handling of AI results. Employees must be able to interpret, question, and take responsibility for results. Especially in SMEs, where decisions are often made close to operational business, this capability is crucial. AI should support, not steer unreflectively.
Furthermore, SMEs need organizational and procedural knowledge. This includes understanding how AI is integrated into existing workflows, what data is required, and what rules apply for usage, approvals, and accountability.
Last but not least, change and learning competencies are particularly relevant in the AI field because small and medium-sized enterprises often work with limited resources and require rapid adaptation to new technologies. Employees who can learn flexibly and adapt to new processes ensure that AI solutions are implemented efficiently, potential is quickly leveraged, and the company remains competitive. With our offerings in training and professional development, we help you build precisely these competencies in a targeted manner and strengthen them throughout the entire organization.
