Training · Confident, capable, ready to evidence

Train your team to use AI with confidence.

Practical AI literacy sessions that also support your organisation's EU AI Act Article 4 responsibilities. Your team is already using Copilot, ChatGPT, Claude or Gemini. The question is whether they're using them well: sharper prompts, cleaner outputs, sensible habits around what stays inside the building. Sessions built for how your team actually works, with a attached: a practical, risk-aware programme tailored to the AI tools, roles and decisions in your organisation. No jargon. No panic. No slides about fines.

See the workshop tracks

The Article 4 bit, briefly

Four things worth knowing. That's it.

Who it applies to

Any organisation whose staff use AI tools at work. Not just tech companies. SMEs are in scope too.

What 'AI literacy' means

Staff understand what the tool does, where it's risky, and when to double-check its output.

When it matters

Article 4 has quietly applied since 2 February 2025. National authorities begin supervising from 2 August 2026. Nothing dramatic, but it's worth having your training on paper.

What 'good' looks like

The duty is to take reasonable measures, not guarantee outcomes. A short policy, dated training records, a light audit trail. That's what you'll have to show.

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Workshop tracks

Three tracks. Pick the one your team needs first.

Article 4 track

AI literacy for every team

"Staff use ChatGPT, Copilot, Claude or Gemini already, but nobody's sure what's private, safe or allowed."

  • Plain-English what/why/limits across Copilot, Copilot Studio, ChatGPT, Claude and Gemini.
  • Redaction habits, one-page acceptable-use policy your team will actually follow.
  • A defensible record of who was trained, on what and when, that helps you respond to Article 4 without an ISO project.
Half-day · on-site or remote · whole team
Time-to-first-value: same day
Practitioner track

Getting real work done with AI

"Teams have licences but still copy-paste the same thing five ways. No shared patterns."

  • A pattern library your team uses on Monday: email drafts, meeting notes, spreadsheet clean-up.
  • When to reach for which tool, without picking sides.
  • Small cohort, hands-on, working with your real (redacted) documents.
Half-day · small cohort · role-based
Time-to-first-value: within the week
Agent track

Building a first governed agent

"Everyone's heard about agents. Nobody's shipped one that a compliance person would sign off."

  • One useful internal agent: Copilot Studio, ChatGPT Team or Claude Projects.
  • Guardrails, a human-in-the-loop step, and a named owner.
  • No code required. You leave with the thing running.
Full day · small cohort · with your data
Time-to-first-value: within 2 weeks

On Monday morning

What your team will actually be able to do.

Before

"I paste customer emails into whichever AI is open at the time: desktop, phone, whatever."

After

One agreed pattern per task, redaction built in, one tool per pattern.

Before

"We've bought three different AI tools and nobody knows which does what."

After

A single-page map: this tool for this job, this one for that one. Everyone reads from it.

Before

"I think we're compliant? Nobody's actually written anything down."

After

A one-page policy, a dated training log, an incident channel. Contributes to evidencing reasonable measures under Article 4. Not a moment more.

Delivered for an Irish energy retailer, Irish secondary schools, and professional teams across Dublin.

Get your team ready for Article 4.

Artellis supports AI-literacy and governance implementation. This is not legal advice and does not guarantee regulatory compliance.