Built to be modular
You start small and grow from there. What’s basic competency today becomes tomorrow’s foundation for deeper roles and responsibilities.
AI competency under Article 4 of the EU AI Act
AI arrived in the enterprise long ago.
AI arrived in the enterprise long ago.
Organizational maturity often hasn’t.
For everyone taking the EU AI Act seriously: M2 helps companies train employees in a targeted way, build audit-ready evidence, and embed AI responsibly across the organization.
✓Two clear modules — Basic & Practitioner
✓Governance & policies
✓Audit-ready documentation
The Real Problem
AI is scaling faster than companies can govern it.
Many organizations aren’t too slow with AI. They’re too unstructured. Usage grows bottom-up, while policies, accountability, training, and technical integration lag behind.
The gap is widening
Build competency too late, and you don’t automate productivity — you automate risk.
The danger isn’t any single instance of AI use. It becomes dangerous when many small, unresolved uses combine into a new shadow infrastructure — professionally, legally, technically, and organizationally.
01
Shadow AI
Employees use ChatGPT, Copilot, Claude, or Gemini before companies know what data, content, and decisions are running through them.
02
Competency gaps
Prompting isn’t enough. Teams need to understand limitations, hallucinations, data protection, copyright, and human oversight.
03
Missing evidence
Attendance records, training content, policies, and effectiveness checks are often not in a state that holds up under audit.
04
Unclear accountability
When AI outputs feed into decisions, it must be clear: who reviews, who documents, who is accountable?
Our Solution
A training concept that grows with your organization.
We’ve developed a modular training system that brings entire teams and whole companies to a shared, auditable baseline — while going deeper exactly where responsibility actually sits.
One training program. All employees. In one go.
From case workers to executive leadership: in one coordinated system — not four disconnected training sessions.
Audit-ready documentation
Attendance, content, effectiveness — every training session is documented so it can be presented in an audit, not explained after the fact.
Extendable by role
Every role gets exactly the depth it needs — from the shared foundation to strategic responsibility. No more, no less.
From practice.
For practice.
No lecture-style teaching, no wall of theory. Real scenarios, real tools, real decisions — straight from your teams’ day-to-day work.
The common thread: We make entire teams and organizations EU AI Act-ready — but not every employee needs the same depth. That’s exactly why the modules build on one another.
See Our 2 Modules
The M2 Training Programs
Two modules — one clear goal.
Basic establishes the shared baseline understanding for everyone. Practitioner deepens applied competency for anyone using AI on a regular basis. Both can be booked independently.
Module 1 · Basic
Art. 4 EU AI Act
AI Driving License Basic
AI Literacy Compact
Contents
- AI Literacy — AI, LLM, Copilot, agent: concepts, differences, and limits of use explained clearly
- Safe use — five ground rules for everyday work
- Green / Amber / Red — simple triage for inputs and data
- Output review — spotting hallucination, bias, and data protection issues
- Escalation — when to stop, when to ask?
- Knowledge check & certificate — documented proof of competency with a certificate of attendance and an audit-ready evidence list
For companies that need to build documentable AI competency quickly. Participants leave the training with a shared understanding of the rules — and the evidence that Art. 4 EU AI Act requires. No prior knowledge needed, no technical background required.
Module 2 · Advanced
4x more depth
AI Practitioner
Applied Competency & LiveAccess
Contents
- Prompt Contract — goal, context, limits, output, review: structured prompting in detail
- Practical risk assessment — confidently evaluate AI use cases against realistic business scenarios
- Error inspection & verification — systematically check outputs for risk and robustness
- LiveAccess — hands-on work with an approved LLM tool, using your own use cases
- Experiment Canvas — scope, measure, and review your own 30-day pilot
- Certificate of competency — individual feedback, documented results
For teams and individuals who want to do more than understand AI — who want to use it productively every day. Participants develop their own Prompt Contracts, review outputs in a structured way, and launch a concrete pilot — with a clear measurement point and review date. The company gains AI users who are ready to deploy, not passive training graduates.
The Trainers
Who’s behind the M2 AI training portfolio.
This training portfolio isn’t a bought-in standard program — it was developed at M2, by experts who know AI from the responsibility of running real systems in regulated environments.
Dr. Klaus Iffländer brings AI into practice. As a data scientist and AI trainer, he turns complex AI into tangible, actionable competency — using scenarios where mistakes have real consequences.
Dr. Faruch Amini is the mind behind the program. As a PhD futures researcher and architect of AI systems, he thinks beyond individual models — connecting data quality, operations, and regulatory requirements into one coherent picture.
What unites them both: they close the gap between understanding and implementation. Between theory and responsibility.
Schedule a Free ConsultationDr. Klaus Iffländer
Data Scientist & AI Trainer
Your TrainerTranslates AI into real actionable competencyDr. Faruch Amini
Principal — AI Innovation & Market Development
The ArchitectDeveloped the AI Driving License
Free Live Webinar
The EU AI Act Practice Check: How companies establish AI that’s safe, traceable & compliant.
Clarity instead of uncertainty: we show which obligations are actually relevant and how companies can deploy AI safely, traceably, and in a way that’s prepared for the EU AI Act.
- 01 Overview: what the EU AI Act concretely means for companies
- 02 Which deadlines and obligations are becoming relevant now
- 03 The most common misconceptions around Art. 4 and AI competency
- 04 How AI governance and secure AI architectures can be implemented in practice
Live · 60 Minutes
More clarity. Less uncertainty.
We’ll also give you a look at how companies can build AI competency in a structured way — from training all the way to audit-ready cognitive architectures.
Go to the Webinar Page →
FAQ
The most common questions about AI literacy and Article 4 of the EU AI Act.
Article 4 requires providers and deployers of AI systems to take all reasonable measures to ensure that everyone involved with AI has a sufficient level of AI competency (AI literacy). This applies to both private-sector companies and public bodies. What matters isn’t a specific certificate, but evidence of appropriate, documented measures — tailored to roles, risk classes, and the specific context of use.
Yes. The EU AI Act applies to all organizations that deploy or operate AI systems — regardless of whether they’re privately or publicly organized. Public authorities and administrations are subject to the same competency requirements. Especially in areas involving sovereign decisions or sensitive citizen data, the requirements for demonstrable AI competency increase.
Shadow AI describes the uncontrolled use of AI tools such as ChatGPT, Copilot, or Gemini by employees, without the organization knowing about it or being able to govern it. In regulated environments — whether a public authority, an operator of critical infrastructure (KRITIS), or a financial services provider — shadow AI can lead to data protection violations, compliance breaches, and liability risks. Targeted AI literacy training builds awareness, clear rules, and safe usage competency.
An audit-ready record needs more than an attendance list. What matters is documented training content, mapping to roles and risk classes, effectiveness checks (e.g., a quiz with a minimum pass rate), issued certificates of competency, and clear training policies. The M2 AI training portfolio is designed exactly for this — every module delivers auditable documentation for internal audits and supervisory authorities.
Operators of critical infrastructure (KRITIS) — organizations in sectors such as energy, healthcare, transport, water, or telecommunications — are already subject to heightened requirements under the German IT Security Act (IT-Sicherheitsgesetz) and the NIS2 Directive. Combined with the EU AI Act, the requirements for AI competency, governance, and evidentiary obligations increase considerably. A generic e-learning course isn’t enough here — it takes role-based training with clear documentation.
A generic e-learning course conveys basic knowledge, but not actionable competency. Genuine AI literacy emerges when employees understand what AI can and can’t do, what risks arise with sensitive data, and how to critically review outputs — and when that knowledge is deepened by role and documented in an audit-ready way. The M2 training concept combines both: fast baseline competency for everyone, with modular depth for leadership and specialist departments.
The initial consultation is free and non-binding. In 45 minutes, our experts work with you to analyze: Where does your organization use AI today? What risks arise from a lack of AI literacy? Which measures would help immediately? The conversation isn’t a sales pitch — it’s an honest assessment of where you stand.
Ready for the next clear step?
In the free consultation, we’ll clarify what AI competency your organization actually needs — and how to build training, governance, and evidence in a pragmatic way.