AI policies no one reads help no one.

What we develop together

• Current state & shadow use What are employees using today — officially and unofficially? Do they know what they may use and what they may not? Do they know why?
  
  

• Data protection & GDPR-compliant tool use Which tools are allowed for which data? The answer is rarely black and white. In practice, that means: document X may be used without restriction, document Y only in anonymised form, document Z not at all. This classification must be specific, clear and understandable for every employee. Where European alternatives are needed — and why.
  
  

• Transparency rules for AI content When must a text be labelled as AI-generated? What applies to images, videos and chatbots? Clear rules by channel and use case — internal and external.
  
  

• Guardrails for sensitive areas HR, Legal, finance and customer communications — different areas need different rules. Not everything has to be banned. But some things do.
  
  

• Strategic no-go's What should the company never pursue with AI, in principle? If you offer a premium service, you should not replace customer service with a bot. If you rely on trust, you should not publish AI-generated text without labelling it. These decisions must be recorded in writing.
  
  

• Pragmatic ethical framework No philosophical treatise — just clear principles that work in day-to-day use and are modelled by the executive team.
  
  

• Embedding in the team A document alone changes nothing. We also develop how the guidelines are communicated, explained and reviewed.