We Observed SMEs’ Interest in AI at WIN EURASIA
During our visit to WIN EURASIA, we observed SMEs’ curiosity about artificial intelligence. We explore what this interest means for businesses and how they can get started.
Event · 2025-05-30 · 3 min de leitura

During our visit to WIN EURASIA, we observed genuine curiosity about AI and a willingness to learn, particularly among SMEs with little connection to software and IT. This interest in sectors such as manufacturing, logistics and retail provides a starting point for getting to know the technology. For businesses, the next step may be to assess this curiosity in relation to concrete business needs and existing processes.
- 30 de maio de 2025
During our visit to WIN EURASIA, we at X Mind Solutions had the opportunity to meet people from different areas of industry. What stood out most was the genuine interest in artificial intelligence shown by SMEs with little connection to the software and IT world. Seeing that the desire to learn about technology extends beyond technology companies offered a valuable opportunity to look more closely at how businesses make sense of AI.
Our observation at the fair was that AI is also sparking curiosity in sectors such as manufacturing, logistics and retail. What stood out was openness to learning rather than technical expertise. This interest should not be interpreted as direct evidence of widespread adoption or investment decisions. Curiosity is a meaningful starting point for businesses to become familiar with the technology; moving towards implementation requires a separate assessment of needs, existing processes and technical conditions.
For a business with little connection to software and IT, the first step towards understanding AI may be to focus on business needs before technical terminology. Questions about which tasks are repetitive, where time is spent accessing information and which processes require human judgment can help establish this framework. In this way, general curiosity about technology can turn into concrete questions grounded in the business’s own ways of working.
At this point, it is important not to treat AI agents, automation workflows and system integrations as interchangeable concepts. Which parts of a workflow require AI, which steps can be carried out using predefined rules and how to connect with existing systems should each be assessed separately. For SMEs, the right starting point is to define a clearly scoped need and the expected functionality rather than seek the most comprehensive solution.
Our main impression from the WIN EURASIA visit was that businesses outside the technology sphere also have a strong curiosity about learning AI. At X Mind Solutions, we value addressing this curiosity through clear explanations and an assessment approach based on business needs. A productive initial conversation about AI should cover not only what the technology can do, but also where it is needed and where human oversight is required.
Perguntas frequentes
- What was the most striking observation during the WIN EURASIA visit?
- It was the genuine curiosity about AI and the willingness to learn shown particularly by SMEs with little connection to the software and IT world. This observation allowed us to see firsthand that interest in technology is not limited to technology companies.
- In which sectors was interest in AI observed?
- Manufacturing, logistics and retail were among the sectors where interest in AI was observed during the visit. This observation does not constitute a measurement of adoption rates or the success of implementations in these sectors.
- Where should an SME with limited technical expertise start with AI?
- The first step may be to define the need the business wants to address before selecting a solution. Identifying repetitive tasks, information access needs and steps requiring human oversight provides a clear framework for assessment.
- Is curiosity about AI enough to move straight to implementation?
- Curiosity and a willingness to learn are an important starting point, but they do not in themselves indicate readiness for implementation. Existing processes, technical conditions, system connections and the scope of human oversight must also be assessed.
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