LearnWize uses essential storage for login, language, theme, and your cookie choice. With your consent, we also use optional analytics to understand visits and improve the platform. You can change this anytime. Learn more
Since Article 4 of the EU AI Act applies, organizations need to explain which measures they take for people working with AI systems. LearnWize makes those measures role-based, practical, and demonstrable.
Evidence chain
LearnWize Article 4
The real question is whether you can show that training fits role, knowledge level, context of use, and impact of the AI systems people work with.
No overview of who uses AI and why.
No clear link between role, risk, and training.
No evidence that understanding was tested.
No reporting for Legal, HR, IT, and leadership.
Document which teams use AI, which tasks are involved, and which knowledge each role needs.
Connect training to the context in which AI is used, including impact on candidates, citizens, customers, or employees.
Let employees practice with realistic work situations, not only generic AI explanations.
Keep participation, scores, certificates, and completion records as evidence that understanding was tested.
Give HR, Legal, Compliance, IT, and leadership a clear view of where the organization stands.
Decide when training needs to be updated because of new tools, policies, roles, or risks.
For Copilot, ChatGPT, Gemini, Claude, or internal AI applications.
For evidence toward procurement, board, DPO, or regulator.
For HR, finance, healthcare, public sector, support, and product teams.
Map roles, AI use, and missing evidence.
Connect teams to use cases, risks, and learning paths.
Launch LearnWize training by audience.
Test understanding with scenarios and certificates.
Deliver reporting, evidence dossier, and refresh advice.