Many SMEs want to use AI — but uncertainty around data protection, liability, and the EU AI Act often slows down implementation.
The good news:
With a clear framework, AI compliance can be implemented quickly, pragmatically, and in a way that fits SMEs.
Data Inventory & Risk Assessment
Before introducing AI tools, transparency is essential:
- What data are we actually using?
- Where are potential risks (personal data, confidential information, bias)?
- Which processes are suitable for AI — and which are not?
A simple risk classification (low / medium / high risk) already creates clarity.
Clear Internal AI Policies
SMEs need simple, understandable rules for working with AI:
- What data may be processed with AI — and what may not?
- Which AI tools are approved?
- How do we reduce hallucinations and sources of error?
- Who is responsible?
For most SMEs, a 2–3 page AI policy is more than sufficient.
Documentation & Transparency
AI compliance does not mean bureaucracy — it means traceability.
This includes:
- concise process documentation
- version control of the AI models in use
- transparent communication with customers and employees
With this, an SME already meets the core requirements of the EU AI Act and Swiss data protection regulations (nDSG).
Conclusion
SMEs do not need to fear AI compliance.
With a lean framework, AI can be used securely, legally compliant, and productively — without sacrificing speed or innovation.