Using AI Safely at Work: build competence, document due care

More than a course: in 2–3 hours, each person builds the foundations for the safe use of AI tools and personal data. Your company automatically receives the training record to match: a certificate with QR verification and a documentation folder per person.

Cleanly documented, without you having to be an expert yourself: oriented towards AI literacy under Art. 4 EU AI Act and the relevant data protection principles of the revDSG.

Why this course fits Swiss SMEs

Understandable, not technical.

In 2–3 hours, the course explains what employees may do with AI tools in everyday work, what is risky, and how to avoid mistakes — no jargon, with examples from office life. The website is available in German, French, Italian, English and Ukrainian — the course itself is currently available in German.

The documentation folder fills itself.

For every trained person, structured documentation is created automatically: course content, test result, role context, timestamps and refreshers. Oriented towards the requirements of Article 4 of the EU AI Act. A documentation aid — not legal advice, but a solid basis when someone asks.

One dashboard, no chasing.

You can see at any time who has been invited, who has completed the course and where a refresher is due. The system sends the reminders — not you.

Certificates anyone can verify.

Every certificate carries a QR code with a public verification URL. Customers, partners or recruiters can confirm its authenticity in seconds — no login, no call to you.

Modules

1. What AI can do — and what it can't

Strengths, limits and typical misconceptions about AI in everyday office work.

2. Allowed or risky? Rules in the workplace

Clear guardrails for tools, approvals and responsible use within the team.

3. Protecting personal data and confidential information

Practical examples covering customer data, payroll data, job applications and internal information.

4. Checking AI output: spotting hallucinations

Methods for spotting plausible-looking errors, invented sources and uncertain claims.

5. Safe prompts in daily work

Phrasings that give employees useful results without entering confidential information.

6. Recognising fraud and manipulation (deepfakes, phishing)

Warning signs of faked voices, images, emails and payment requests.

7. Copyright and sources

Careful handling of third-party content, source attribution and AI-generated text.

8. The AI Act in brief

An overview of the key terms and what AI literacy means in everyday work.

What this means for your employees

  • Confidence instead of guesswork. After the course, everyone knows what may go into an AI tool and what may not — no more secret experimenting or hesitating to ask.
  • A credential that lasts. The certificate with QR code is publicly verifiable and belongs to the person — it also counts on a CV and for a future job change.
  • No one is put on the spot. The quiz can be repeated as often as needed, and nobody sees failed attempts — not even the employer. It is about understanding, not weeding people out.

Why the documentation folder is the real value

Curriculum

Modules, lessons and duration are recorded for each person.

Quiz result

The folder contains the completion date, the passing final result and the certificate ID.

Verification

Every certificate can be verified publicly using its verification code.

revDSG and EU AI Act — what they are really about, in plain terms

Behind the unwieldy names are two simple ideas: people's data should be protected, and AI should be used in a way that can be trusted. Both involve less bureaucracy than they sound — and both start with employees knowing what they are doing. Here is the short version, without legalese. (Orientation, not legal advice.)

Switzerland · since 2023

What does the revDSG want?

The revised Swiss Federal Act on Data Protection (revDSG/nFADP, in force since September 2023) has a single goal: protecting people's data — your customers', your employees', your job applicants'. It applies to every company in Switzerland, regardless of size or industry, because practically every company works with personal data: addresses, contracts, payslips, emails.

  • Know which personal data you hold and what it is used for — and be able to stand by it when someone asks.
  • Protect data appropriately: who has access, where it flows, which tools are in use — AI tools included.
  • Inform employees so they can make the right call in everyday situations — for example, not entering customer data into open AI tools.
More about the revDSG

The basic idea is simple: whoever holds people's data handles it with care — knowing which data is used for what, protecting it appropriately and not passing it on thoughtlessly. This is exactly where AI comes in: anyone who enters personal data into an open AI tool gives it away.

EU · since 2024

What does the EU AI Act want?

The EU AI Act is the European Union's AI law (entering into force in stages since 2024). Its goal: AI should be used — but safely, transparently and by people who understand what they are operating.

  • If your company has customers or partners in the EU, or AI output is used there, parts of the regulation may affect you too.
  • Employees who work with AI tools should have a basic understanding of what these tools can do — and what they can't.
  • Record who was trained, when and in what: structured documentation is the simplest way to demonstrate this diligence.
More about the EU AI Act

The riskier an AI application, the stricter the rules; for ordinary office work, one point matters most: Article 4 requires companies to ensure sufficient “AI literacy” among their employees — they should know what the tools in use can do, where their limits lie and what to watch out for. For Swiss companies, this becomes relevant as soon as there is an EU connection, such as customers in the EU. And regardless of any obligation: what the AI Act asks for is simply sensible — enable people before you hand them tools.

Why this is worth it for every company — even leaving the law aside

  • Trust you can see: customers prefer to give their data to a company that visibly handles it with care. Data protection is not a cost item but a mark of quality — like clean bookkeeping.
  • Fewer mistakes, more calm: when everyone knows the same ground rules, the typical everyday mistakes don't happen — and you don't have to hope that nothing goes wrong.
  • Look good when someone asks: whether it's a customer, an industry association or the executive board — those who have trained and documented answer in two minutes rather than with a red face.

The easiest way to start: first look, then train. Start with the free AI Risk Check — 16 questions, about three minutes, an instant traffic-light result. You will then know where your business stands. The second step is the basic training: the Linup KI-Pass, 2–3 hours per person, with an automatic documentation folder.

Why here, and not a cheap off-the-shelf course?

Training documentation per person

Linup records curriculum, result, role context and timestamps. That is more than a certificate to file away.

Swiss focus

Language, CHF pricing and data protection context are geared to Swiss SMEs.

For mixed workforces

The website is available in German, French, Italian, English and Ukrainian — the course itself is currently available in German.

Understanding instead of clicking through

The final quiz tests the most important rules. Anyone who doesn't pass repeats it free of charge and without pressure.

Trust before you buy

14-day money-back guarantee.

No reasons required, no forms — an email is all it takes.

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