Executive Summary
Article 4 is not a future requirement. Providers and deployers of AI systems have been required since 2 February 2025 to ensure a sufficient level of AI literacy for staff and other persons dealing with AI systems on their behalf.
The Commission has taken a flexible approach, but that does not remove the obligation. The real operational question for SMEs is not “Do we need a programme?” It is “Can we prove we tailored literacy measures to our systems, roles, and risks?”
Most SMEs are handling Article 4 badly. They either ignore it because it looks “soft”, or they reduce it to a generic lunch-and-learn on AI ethics. Both approaches are weak. The Commission’s Q&A makes clear that Article 4 requires providers and deployers to take measures that reflect technical knowledge, experience, education, training, the context of use, and the persons affected by the AI system.
What Article 4 actually requires
Article 4 is broad by design. It does not prescribe one mandatory curriculum, one exam, or one certificate. It requires a sufficient level of AI literacy. That means your literacy programme has to be defensible against your real operating model.
- Providers must equip teams building or materially modifying AI systems to understand the system, its risks, and the AI Act obligations relevant to their role.
- Deployers must ensure staff using systems in practice can operate them appropriately, identify failures, and apply human oversight where required.
- Other persons are in scope too. Contractors, service providers, and outsourced operators are not outside the obligation merely because they are not employees.
What the AI Office says is the minimum
The Commission’s Q&A is more useful than most summaries circulating online. It says organisations should, at minimum, build a general understanding of AI in the organisation, identify whether they are acting as a provider or deployer, consider the risk level of the systems involved, and tailor measures to role, context, and sector.
That means a decent Article 4 programme usually covers five layers:
- Basic AI concepts and system boundaries.
- The organisation’s role in the AI value chain.
- System-specific risks, failure modes, and limitations.
- Relevant EU AI Act obligations, especially transparency, oversight, and incident escalation.
- Decision rights: who can override, stop, escalate, or report issues.
What SMEs should document now
This is where most companies fail. Training happened informally, but nothing ties it to legal scope, system inventory, or operational risk. Build a small evidence pack instead of a bloated academy.
| Evidence item | Why it matters | Minimum SME standard |
|---|---|---|
| AI system inventory | You cannot tailor literacy without knowing which systems exist. | Named list of systems, owners, purpose, affected users, and risk tier. |
| Role matrix | Article 4 is role-sensitive. | Map teams to provider/deployer functions and required knowledge. |
| Training record | You need evidence that measures were actually delivered. | Date, audience, content summary, attendance, and version control. |
| System-specific guidance | Generic awareness is insufficient for real operations. | Short handling notes for high-risk or sensitive systems. |
| Escalation path | Literacy is partly about knowing when not to trust the system. | Named owner for incidents, overrides, complaints, and legal review. |
What not to do
- Do not treat one generic AI awareness video as compliance.
- Do not rely only on vendor instructions for use, especially for higher-risk deployments.
- Do not ignore contractors and external operators acting on your behalf.
- Do not run the programme without versioning and evidence retention.
30-day execution plan
Week 1: lock the AI inventory and identify provider vs deployer roles. Week 2: define three training tracks: executive, operator, technical owner. Week 3: deliver system-specific sessions for any high-risk, Article 50, or incident-sensitive workflows. Week 4: consolidate evidence into one folder and assign annual refresh ownership.
Use our EU AI Act Training Platform as the front-end delivery layer, and the 12-question Compliance Checker to confirm whether your portfolio needs additional high-risk or transparency content.
About the author: Abhishek G Sharma is the founder of Move78 International Limited. He holds ISO 42001 Lead Auditor, CISA, CISM, CRISC, and CEH certifications. He brings over 20 years of practitioner experience in cybersecurity, AI governance, and enterprise risk management.
Disclaimer: This page is educational and operational guidance only. It is not legal advice. Published: March 2026.