AI Literacy · Adoption · Article 4 EU AI Act
AI adoption is more than a one-off training session. Teams need sufficient skills, clear rules and use cases that fit their work. I connect AI literacy with the selection, prioritization and operation of concrete AI workflows.
This service fits when management and teams expect more from AI but isolated experiments fail to scale. Different skill levels, unclear usage rules and missing ownership prevent pilots from becoming dependable workflows.
- AI literacy training for product and business teams with role-specific examples
- A regular AI forum for team leads and accountable roles
- Discovery and prioritization of suitable AI use cases
- Clear usage rules and responsibilities for each working context
- Support for selected AI workflows through to documented operation
- A shared understanding of opportunities, limitations and safe use
- Use cases are selected by value and risk rather than enthusiasm
- Rules, ownership and documentation remain in place after training
- 01
Understand roles and context
We clarify how teams use AI, what knowledge already exists and which risks matter.
- 02
Build skills
Training content and examples reflect participants' actual tasks and responsibilities.
- 03
Embed application
Selected use cases receive rules, owners and a clear path from testing into operation.
Relevant case study
At Dishbrain, Luca designed and developed an AI literacy learning platform in the context of the EU AI Act. In a product engagement, he also established a monthly AI forum with all team leads and supported AI-assisted test automation.
Read case studyFAQ
What does Article 4 of the EU AI Act require?
Article 4 requires providers and deployers to take measures to ensure a sufficient level of AI literacy. Technical knowledge, experience, education, training, context of use and affected people must be considered. Implementation therefore depends on the specific context.
Is one standard course enough for everyone?
A shared foundation is useful, but often insufficient. People using AI need different content from those selecting, operating or approving it. Training should therefore reflect roles and context of use.
Is the training legal advice?
No. It builds practical competence and supports operational implementation. Case-specific legal assessments belong with your appropriately qualified legal and data protection professionals.
Tell me briefly what you are working on. You will get an honest view on whether and how I can help.