AI Competence That Meets the EU AI Act
Practical trainings and workshops that enable organizations of any size or industry to use AI competently, responsibly, and in line with Article 4 of the EU AI Act.
Clarify what AI competence means for your organization under the EU AI Act.
Why this matters now?
Artificial intelligence is already used in daily work — often without clear understanding of its limitations, risks, or responsibilities.
With the EU AI Act, AI competence is no longer optional.
Organizations are expected to ensure that people who use AI systems understand:
- what AI can and cannot do
- where risks and limitations lie
- when AI use is appropriate — and when it is not
Using tools is not the same as being competent.
Responsibility cannot be delegated to software.
PRIMARY ENTRY POINT
AI Competence Training under Article 4 EU AI Act
My primary offering is AI competence training and workshops that help organizations meet the requirements of Article 4 of the EU AI Act in a practical, understandable, and defensible way.
These trainings are designed for:
- organizations of any size or industry
- professionals who use AI in their daily work
- teams that need clarity, not hype
Participants learn:
- how modern AI systems work at a conceptual level
- typical risks such as hallucinations, bias, and overreliance
- their responsibilities when using AI outputs
- how to decide when AI should — and should not — be used
Goal:
The goal is not tool mastery, but sound judgment and responsible use.
This is the recommended starting point for organizations that use AI in any form.
FROM TRAINING TO PRACTICE
Many organizations start with AI competence training — and then ask for support in applying what they learned responsibly in practice.
Depending on needs, this can include:
Responsible AI & GenAI Systems
Design and implementation of internal AI systems, such as RAG-based assistants or document intelligence solutions, with a strong focus on reliability, explainability, and responsible use.
Data Science & Analytics Projects
Analytics, dashboards, forecasting, and machine-learning models that support real business decisions — not just reporting.
Education & Training Partnerships
Collaboration with education providers and institutions on courses, certificate programs, and extended learning formats in AI and data science.
These offerings are not prerequisites.
They are available when organizations are ready to go beyond training.
How I work
My work is guided by a few clear principles:
- No hype: AI is powerful, but limited. Both must be understood.
- No black boxes: Decisions must be explainable and defensible.
- Responsibility first: Legal, ethical, and organizational implications are part of the work — not an afterthought.
- Practical relevance: Everything connects back to real decisions and daily work.
This approach is especially important in regulated environments — but it benefits any organization that wants to use AI seriously.
About
I work at the intersection of AI, data, regulation, and decision-making.
My background combines:
- hands-on work in data science and analytics
- development of AI and GenAI systems
- training and teaching for professionals and organizations
My focus is not on selling tools, but on helping organizations build lasting competence and confidence in working with AI.
Start with clarity
If you would like to understand what AI competence means for your organization — and how to approach it under the EU AI Act — let’s talk.
Clarify what AI competence means for your organization under the EU AI Act.