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AI literacy

Understand AI.
Work smarter.
Keep your own judgement.

AI literacy means using AI consciously, critically and responsibly. You do not need to become a programmer. You do need to judge when AI helps, what information to share and when to intervene.

Discuss training for your team Explore the benefits ↓

Practical · Relevant to your work · Dutch or English

People stay in control

01A clear instruction

02A useful draft

03A critical review

04An informed decision

More than a good prompt.

A convincing answer is not necessarily correct. An AI-literate employee understands the capabilities and limitations of the tools they use, can assess results and knows where their responsibility begins.

Understand

Recognise what the system does and where uncertainty remains. A language model can produce plausible but incorrect information.

Apply

Choose suitable tasks, provide relevant context and define the expected output.

Review

Check facts, sources, calculations, assumptions and potential bias before using results.

Act responsibly

Consider data, copyright and consequences for colleagues and customers. Know when to seek advice.

Good for your people.
Useful for your organisation.

For employees

Build confidence through understanding.

Prepare first drafts of emails, content and documents more efficiently.
Recognise incorrect, incomplete or one-sided answers.
Know what information belongs in which approved tool.
Combine professional expertise with AI and feel able to ask questions.

For employers

A shared approach to everyday work.

Select workflows by time, quality and risk.
Agree on tools, access and human review.
Share expertise beyond a single enthusiastic colleague.
Track improvements and make responsibilities clear.

What research shows

Potential in numbers.
Context included.

These studies measure AI use or assistance, not the return on AI Clarity training. They illustrate why skills and appropriate task selection matter. Results depend on the task, team and tool.

40%

less time on writing tasks

In an experiment involving 453 college-educated professionals, bounded writing tasks took less time with ChatGPT. Assessed quality improved by 18%.

Not a study of whole working weeks or training.

Noy & Zhang · 2023 ↗

15%

more issues resolved per hour

Across 5,172 customer support agents, productivity rose on average with an AI assistant. Effects varied between workers.

One business context; not automatically transferable to your team.

Brynjolfsson, Li & Raymond · 2025 ↗

75%

used AI at work

In the 2024 global survey of 31,000 knowledge workers, three quarters reported using AI at work.

Self-reported data from 31 markets, not a current Dutch SME statistic.

Microsoft & LinkedIn · 2024 ↗

No guaranteed time savings or revenue claims. We establish your baseline and test what improves in your actual work.

In everyday practice

The same tool.
A better way to work.

Consider a new lead requesting an offer. A good workflow combines speed with review.

1. Set boundaries

Use approved services, rates and terms. Share only necessary data in a suitable environment.

2. Prepare a draft

Draft a relevant reply and proposal. Turn missing information into questions rather than invented facts.

3. Review and send

Check prices, tone and commitments. Standard acknowledgements can be automatic; custom quotes are approved first.

AI literacy and the AI Act

A practical responsibility.

The European Commission’s current guidance says Article 4 requires providers and deployers to take measures supporting AI literacy, considering knowledge, experience, context and risks.

There is no mandatory standard certificate or universal training format. The guidance clarifies that no specific individual proficiency level is guaranteed. Additional requirements apply to human oversight of high-risk systems.

Europese Commissie / European Commission — AI Literacy Q&A ↗

Source checked on 20 October 2026. Practical information, not legal advice. Training does not automatically establish compliance.

How AI Clarity helps

From individual knowledge to everyday practice.

We design the programme around your team’s tasks and tools. First establish what is needed rather than prescribe identical training for everyone.

Explore

Map tools, roles and recurring tasks.

Practise

Use safe example data to practise instructions, review results and recognise exceptions.

Agree

Create a practical checklist, approved tools, review points and a named contact.

Maintain

Record learning activities, review experience and update guidance when tools or tasks change.

What you can receive

A role-specific training plan
Exercises and reusable instructions
An output review checklist
Working guidelines and a follow-up plan

Measure the contribution, not just attendance.

Compare a representative task before and after the pilot: completion time, quality using the same criteria, corrections and independent completion. Include review and maintenance time. Discuss whether staff know when to stop or seek advice.

Where does your team stand?

Select what is already in place. This check stays in your browser and is not a test or compliance assessment.

What is in place?We know which AI tools are used and for what.Staff know what data they can and cannot share.AI output is reviewed before reaching customers.Each role has practised relevant scenarios.We have a named contact and review our guidelines.

0 of 5 in place. Choose one topic to start with.

Frequently asked questions

Does everyone need to code?

No. Most staff need practical skills: choosing tasks, giving context, checking outputs and handling data. Technical roles have different learning needs.

Is AI literacy just prompt training?

Prompting is one part. AI literacy also covers limitations, sources, privacy, bias, copyright and the impact of decisions on people.

Does the research prove training saves 40% of time?

No. The figures concern AI assistance and use in specific studies, not the effect of our training. We agree how to evaluate your programme in advance.

How long does a programme take?

That depends on the roles, tools, prior knowledge and work involved. We discuss requirements and then propose scope, timing and pricing.

Can training be remote?

Yes. We work online in Dutch or English, using scenarios relevant to your team.

Sources & methodology

Research figures retain their original context and year. Our proposed programme is not an intervention tested in these studies. The 2025 AP publication provides background; the Commission Q&A is used for current Article 4 guidance.

A team that knows what it is doing

Make AI part of good work.

Tell us about your team, tools and questions. Together we identify a practical starting point.

Discuss training for your team

Understand AI.Work smarter.Keep your own judgement.