ETHORITY®
ETHORITY · ADVISORY SERVICE · FROM €2,400 · 1 DAY TO 3 MONTHS
Literacy has been law since Feb 2025. Make it show.
Help your people use AI safely: role-based training on the tools they use, a usage policy your works council can review, and an evidence file for Article 4.
- 2 Feb 2025
- AI literacy duty (Article 4) in forceReg. (EU) 2024/1689, Art. 113 · EUR-Lex · eur-lex.europa.eu ↗
- €3,900
- Literacy Day, one in-house day, up to 20 peopleETHORITY price list, 16 Oct 2026
- €2,400
- Leadership Session, half a day for executivesETHORITY price list, 16 Oct 2026
- 20
- participants per Literacy DayETHORITY price list, 16 Oct 2026
Article 4 has applied for more than eighteen months.
The Omnibus softened the wording to measures that support sufficient literacy; documented measures still matter.
White & Case, Aug 2026
Three outputs in one package: skills, rules and evidence.
Training alone leaves no proof; a policy alone changes no habit.
ETHORITY product sheet, 16 Oct 2026
Up to eight internal AI champions trained in Programme M.
A train-the-trainer day keeps the knowledge inside the company after month three.
ETHORITY product sheet, 16 Oct 2026
Who it is for
HR and learning teams, works councils that want rules before a wider rollout, companies introducing Copilot, ChatGPT Enterprise or similar assistants, and legal and compliance teams that need Article 4 evidence. It fits well after a Readiness & Maturity Check or an AI Act Readiness Sprint, which tell us which tools and roles matter.
The question it answers
Can our people use AI well, do they know the rules, and can we show what we did?
What you receive
Select a result to see it in a scenario.
Scenario: a logistics company introduces an AI assistant; 60 key users are trained first (Programme S).
- 1
Training by role, built on the tools you actually use and on live examples from the Good AI Prism registry, not generic slides.
Training by role
Read as text
AI Literacy & Adoption · Training by role · Scenario
Scenario: a logistics company introduces an AI assistant; 60 key users are trained first (Programme S).
What AI is, AI in your role, Data, Quality, Rules and law, Personal plan
- Dispatch: 20 people
- Customer service: 20 people
- Sales: 12 people
- Team leads: 8 people
Real tasks per role, e.g. dispatch: "Draft the delay notice for a customer"
- 2
AI usage policy of three to five pages: approved tools, forbidden uses, data rules, labelling and escalation, drafted for works council consultation.
AI usage policy
Read as text
AI Literacy & Adoption · AI usage policy · page 1 of 4 · Scenario
Scenario: a logistics company introduces an AI assistant; 60 key users are trained first (Programme S).
How we use AI at work
Approved tools:
- The company AI assistant
- Translation in the approved tool
Not allowed:
- Customer data in public AI tools
- Decisions about people made by AI alone
Data rules:
- Customer and personnel data only in approved tools
- Trade secrets stay inside the company
Label and escalate:
- Mark AI-written customer texts
- Report doubts to the AI owner
Drafted with the works council · acknowledged by every participant
- 3
Evidence file: participant lists, content, dates, learning-check results and policy acknowledgements, structured for audits.
Evidence file
Read as text
AI Literacy & Adoption · Evidence file · Article 4 · Scenario
Scenario: a logistics company introduces an AI assistant; 60 key users are trained first (Programme S).
Date | Group | Participants | Learning check | Policy acknowledged
3 Nov 2026 | Dispatch | 20 | 95% | 20 of 20
10 Nov 2026 | Customer service | 20 | 95% | 20 of 20
17 Nov 2026 | Sales and team leads | 20 | 90% | 19 of 20
60 people trained · 59 acknowledgements · Structured for audits
- 4
Prompt and use-case cards for each role.
Prompt and use-case cards
Read as text
AI Literacy & Adoption · Prompt and use-case cards · Scenario
Scenario: a logistics company introduces an AI assistant; 60 key users are trained first (Programme S).
Dispatch · Delay notice:
Write a short, polite notice to the customer: shipment, new arrival time, reason in one sentence. No promises on compensation.
Check: times and order number
Customer service · Answer a complaint:
Summarise the complaint in two sentences, then draft a reply in our tone. Mark anything you are unsure of.
Check: facts against the order
Sales · Prepare a visit:
List the customer’s last five orders and three questions for the visit, using only the CRM export.
Check: no data outside the CRM
- 55
In Programme M: a train-the-trainer day, an adoption survey and a short adoption report on which uses stuck.
1 / 4 · Training by role
Built on the tools you use, with real tasks from each role.
Scenario: a logistics company introduces an AI assistant; 60 key users are trained first (Programme S).
Read as text
AI Literacy & Adoption · Training by role · Scenario
Scenario: a logistics company introduces an AI assistant; 60 key users are trained first (Programme S).
What AI is, AI in your role, Data, Quality, Rules and law, Personal plan
- Dispatch: 20 people
- Customer service: 20 people
- Sales: 12 people
- Team leads: 8 people
Real tasks per role, e.g. dispatch: "Draft the delay notice for a customer"
How it works
- 09:00
What AI is and is not: how generative AI works and where it fails. Learning check: spot the error.
- 10:00
AI in your role: five to eight real tasks from the group's daily work, done live with the approved tools.
- 11:30
Data and confidentiality: what may go into which tool; personal data, trade secrets, customer data.
- 13:15
Quality and responsibility: checking outputs and sources, the human in the loop, when not to use AI.
- 14:15
Rules and law: your usage policy, AI Act basics (Article 4, Article 50 labelling), copyright. Policy acknowledgement.
- 15:00
Personal plan: each participant picks two uses to apply in the next 30 days.
Packages and price
Leadership Session
€2,400 one-time · net
Half a day for executives: opportunities, risks, duties and decisions.
Scope and delivery by agreement
See what this package includes →Request this package →Literacy Day
€3,900 one-time · net
One in-house day, up to 20 participants, one target group. Additional groups €3,900 per day.
Scope and delivery by agreement
See what this package includes →Request this package →Programme S
€11,500 one-time · net
Three days for different roles, usage policy and evidence file, in four to six weeks.
Scope and delivery by agreement
See what this package includes →Request this package →Programme M
€21,900 one-time · net
Six days over three months, train-the-trainer, policy, evidence file and adoption report.
Scope and delivery by agreement
See what this package includes →Request this package →Terms
Net prices. Remote sessions at the same price. Work starts after confirmed payment and complete agreed inputs. Your time: a 30-minute preparation call plus participant time as booked.
Boundary
Training, policy and documentation for Article 4. The evidence file records each measure, and individual competence stays with your own HR processes.
Who is accountable for the result
Sten Franke
Founder & CEO
Sten Franke designs and builds AI systems, from model testing and cloud setup to the interfaces people use. He connects business decisions, software architecture and practical implementation.
AI architecture · Model testing · Cloud engineering · UX
His work spans programming, LLM evaluation, Google Cloud and AWS environments, and web applications built with Next.js and React. He connects business requirements, software architecture and practical implementation. Creator of the Good AI Prism, he brings market intelligence into AI decisions. Earlier, he created the Social Media Prisma, led a BVDW Social Media working group and contributed to its Social Media Kompass. His entrepreneurial work includes ethority, Gridpatrol and mediatime, following a practical foundation in electronics and industrial robotics.
sten@ethority.aiReal offerings we compare against
Training uses the assistants your teams meet in practice. Three German and European workplace assistants show what participants learn to check: nele.ai hosted in Germany, meinGPT with on-prem option and Lumo for Business.
nele.ai
nele.ai · Platform
nele.ai is a browser and desktop AI workspace for German SMEs billed through a company-wide monthly credit pool instead of per-user licences, with uploaded knowledge bases and optional pseudonymisation.
- Published price
- How it is billed
- Where data is stored
- Does it train AI on your data?
meinGPT
SelectCode (MeinGPT) · Platform
MeinGPT is a Hetzner-hosted German AI platform for Mittelstand firms offering multi-model chat and assistants, plus an 'Outpost' that connects on-premise systems through an outbound-only connection.
- Published price
- How it is billed
- Where data is stored
- Does it train AI on your data?
Lumo for Business
Proton · Product
Proton's Lumo for Business is a team AI chat assistant running open-source models (Qwen, GLM, Apertus) on Proton-controlled European servers, with no server-side chat logs and zero-access-encrypted history.
- Published price
- How it is billed
- Where data is stored
- Does it train AI on your data?
Read before you decide
Background for the training day, including why AI does not scale by itself.
AI-first means changing how you work, not counting tools.
What has to change across the organisation: strategy, work, decision rights, knowledge, evidence and leadership.
See the map on one page →
AI does not scale by itself. Redesign the work.
Start with one objective, choose the simplest approach for each task and measure the cost of every result you accept.
See the map on one page →
Preparing for the EU AI Act is the start; control happens in daily operation.
How to connect each EU AI Act duty to your systems, controls, evidence, monitoring and regular reassessment.
See the map on one page →Test your numbers first
The matching calculator is the EU AI Act Navigator: it shows the Article 4 duty by role. All tools sit in the ETHORITY AI calculator suite.
EU AI Act Navigator
Seven questions give an indicative risk class, your duties, the dates and the missing evidence, ready to take to your lawyer.
Pilot version · Scenario calculator
Open the calculator →AI Journey Planner
A plan from the first idea to scaling up, with milestones, owners, checkpoints and the EU AI Act dates in that period.
Pilot version · Scenario calculator
Open the calculator →Good AI Prism map
The market study examines 961 AI offerings. The separate online catalogue contains 485 profiles; the counts describe different populations.
Questions buyers ask
Does one day satisfy Article 4?
Article 4 asks for measures that support sufficient literacy for the people who use AI. A role-based day with documented learning checks is a strong measure; larger organisations usually need the programme.
Can the works council take part?
Yes. The policy is drafted for works council consultation, and Programme S includes a works council briefing.
Which tools do you train on?
The tools you have approved, plus what the staff survey of the Sprint found in use.
Can sessions be remote?
Yes, at the same price.
What do we keep?
The policy, the evidence file, the role cards and, in Programme M, trained internal champions.
Next step
Plan a training day in a 30-minute call. Where no AI inventory exists yet, start with the sprint; for yearly refreshers, the AI Governance Retainer includes literacy half-days.
ETHORITY · LONG READ
Your people already use AI. The question is whether you can show they use it well.
The AI literacy duty arrived quietly in February 2025. Most companies trained someone. Few can show who, on what, and with which rules.
The AI Act's literacy duty has applied since 2 February 2025. It is one of the shortest articles in the AI Act text on EUR-Lex and one of the easiest to underestimate. The July 2026 Omnibus softened its wording: providers and deployers now take measures to support a sufficient level of AI literacy among their staff. That is still a duty to act, and an auditor will ask what those measures were.
In practice, three things are usually missing. People were shown a tool but not trained for their role. There is no written policy that says which tools are approved and what data may go into them. And nothing documents what happened, so the company cannot show its effort.
AI Literacy & Adoption closes all three in one package. Training is built for one role group at a time, using five to eight real tasks from that group's daily work, done live with the tools the company has approved. Each module ends with a learning check, so the evidence file records knowledge rather than attendance.
The policy matters as much as the training. Three to five pages are enough: approved tools, forbidden uses, data rules, labelling and escalation. Drafting it for works council consultation from the start saves weeks later, and it gives the training a fixed reference.
The programmes add time and depth. Programme S covers three roles in four to six weeks. Programme M runs over three months, trains up to eight internal champions and ends with an adoption report: which uses stuck, and what blocks wider use. That report is often the first honest measure of whether AI is changing work at all, a point the insight on why AI does not scale by itself makes in detail.
Sources and further reading
YOUR NEXT STEP
Discuss your question with Sten Franke.
Bring your business question or the figures you already know. ETHORITY investigates within the agreed scope; together with Sten Franke you agree the next piece of work.