AI in small & medium-sized companies - status quo and future prospects

Why SMEs and AI are not a contradiction in terms

Artificial intelligence (AI) has long since made the step out of the innovation departments of tech giants and into the wider economy. The potential is also huge for SMEs - whether in process optimization, project management or customer communication. Nevertheless, many companies are hesitant to take concrete steps. The impression is that AI is too complex, too expensive or only something for corporations with large amounts of data and their own development teams.

But this is precisely the wrong way to think. With their flexibility, short decision-making processes and often pragmatic implementation mentality, SMEs are ideally placed to benefit from AI technologies - provided they are prepared to embrace change. 

Realistic fields of application - from text to scheduling

AI in SMEs does not necessarily have to mean "robotics and deep learning". Applications that save time and nerves on a daily basis are much more likely:

• Text creation and summaries: Automated writing of reports, offers, presentations or emails based on short key points.
• Data analysis & evaluations: Quick interpretation of tables, deviations or forecasts. - Project support: AI-supported tools, such as Can Do, identify risks in schedules or suggest suitable alternatives in the event of resource bottlenecks.
• Idea generation & creative processes: Support for brainstorming sessions, concept drafts or product ideas as a basis for discussion and work.

The key lies in the selection of suitable tools and a clearly defined goal: what should the AI do - and what shouldn't it do?

Typical challenges as opportunities: positively shaping technology, mindset & data protection

SMEs today are faced with the exciting task of dealing with new technologies such as AI. Similar issues arise time and again, which - if addressed correctly - can become real drivers of development:

• Building an understanding of technology: Terms such as "machine learning" or "prompt engineering" (building the best prompt) may seem complex at first, but this is precisely where the opportunity for further training and knowledge building lies. With clear examples and practical training, technological concepts can be quickly translated into tangible applications.
• Promote a new mindset: AI is not a threat, but a tool that can make everyday working life easier. When companiesshape change as a jointlearning journey, an environment is created in which openness, curiosity and a spirit of innovation can grow.
• Consciously shaping data protection & security: SMEs in particular have a high sense of responsibility for sensitive data. This is a great strength! Trust in AI applications can be further strengthened through targeted education and the use of GDPR-compliant tools.

Instead of seeing stumbling blocks, it is worth understanding these points as natural components of a transformation process. With transparent dialog, targeted training and the first secure implementation steps, AI becomes a real asset in everyday working life.

Employees as the key to success

Perhaps the most important success factor is often underestimated: the involvement of employees. AI is not an end in itself - it will only deliver its benefits if the people in the company can use it properly. Therefore:

• Employees must be allowed toreduce fears - through exchange and open communication.
• Training is essential in order to properly utilize the potential of AI tools and avoid misuse.
• People remain the decision-makers - AI is a tool that makes them better, not replaces them.

Those who actively shape this cultural change will not only ensure technological transformation, but also interpersonal transformation within the company.

Success factors for the first AI steps

So what does it take for a successful start?

• A clear use case: not AI for AI's sake - but a real problem that it can solve.
• Pilot groups and quick wins: it's better to start small, get feedback and adapt. Proof of concepts offer a real opportunity for a quick sense of achievement.
• Build up knowledge: Train employees, promote exchange, make experiences visible.
• Think long-term: AI is not a sprint, but a marathon - with milestones and adjustments along the way.
  

Conclusion: SMEs have everything they need

Entering the world of AI doesn't have to be expensive or complicated. What is needed is a clear mindset, a little curiosity - and the will to take the people in the company with you. If you want to delve deeper into the topic, the KI LEAGUE is a platform for further training, exchange and concrete best practices from SMEs.