How Alesia helps you meet the EU AI Act's AI-literacy rule.

Article 4 of the AI Act is enforceable as of August 2026. If your organization uses tools like ChatGPT, Claude, or Gemini, you're a "deployer" under the law, and deployers have to show reasonable measures for staff AI literacy: training, a usage policy, and oversight of how AI actually gets used. Alesia gives you the operational layer that requirement assumes exists: live usage visibility and enforced policy, on every device. Here's what the law requires, and exactly where Alesia fits.

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What Article 4 actually requires

"AI literacy" isn't a certificate or a course everyone has to pass. It's a standing obligation to know what AI tools are in use across your organization and take reasonable, risk-based measures so the people using them understand what they're doing.

  • Covers more than your own employees. Contractors and service providers using AI on your behalf count too.
  • You don't have to test anyone's literacy level, but you do need to be able to show what training or measures you put in place.
  • Deployer obligations like this one carry penalties up to €15M or 3% of global annual turnover.
Read Regulation (EU) 2024/1689 on EUR-Lex

What this means day to day

In practice, most of this comes down to visibility you probably don't have yet:

  • Knowing which AI tools are actually in use across the org, not just the ones you sanctioned.
  • A usage policy staff have actually seen, not just a line in the employee handbook.
  • A record of what happens when someone hits a risky moment, not the content, but that a decision was made.

How Alesia helps

Alesia gives you the operational layer Article 4 assumes exists: Analytics shows which AI tools and models are actually in use across the org; Governance enforces a real, live usage policy on every device instead of a PDF nobody reads; and every flagged moment is logged as metadata (category, severity, decision), so you have an actual record instead of a guess.

FAQs

No. Alesia gives you usage visibility and policy enforcement, which support the operational side of Article 4. It doesn't replace legal review, a documented AI governance program, or the risk-management and technical-documentation work required for high-risk AI systems.

Yes. Using an AI system, even one you didn't build, makes you a "deployer" under the Act. Article 4's AI-literacy obligation applies to deployers, not just AI providers.

There's no fixed curriculum. Regulators expect measures scaled to risk, role, and context: someone using AI to draft emails needs less than someone feeding it customer data. What matters is that you can show you thought about it and did something.

Deployer obligations including AI literacy carry fines up to €15M or 3% of global annual turnover. Beyond the fine, "we had no idea what our teams were doing with AI" is not a good position in front of a regulator or a customer's security review.

The high-risk system deadlines (Annex III and Annex I) were pushed back under a provisional 2026 political agreement. Article 4's AI-literacy obligation was not part of that delay. It's enforceable now, regardless of whether your organization ever touches a high-risk AI system.

Alesia isn't a compliance product. It doesn't cover the Act's risk-management systems, technical documentation, or human-oversight requirements for high-risk AI (a lawyer or a documented governance program still owns that). It covers the operational side: knowing what AI tools are in use, enforcing a real usage policy, and keeping a record of flagged moments.

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