The AI-written email promises delivery on Friday. The source only says that Friday might be possible.
Put those two texts in front of someone after an AI workshop. Can they spot the difference, correct the promise and decide what to ask next? That small example tells you more about useful training than the number of tools shown on the course slides.
For a team choosing AI training in Saxony, begin with a task people need to handle better the following day. In this article, it is the customer reply that sounds right but goes too far.
Different roles need different practice
A sales colleague needs to judge whether a draft represents an enquiry accurately and avoids unsupported commitments. The person configuring an agent also needs to understand access, instructions and testing. A manager needs to assess whether the use is appropriate and who owns it.
A shared introduction can establish vocabulary. After that, separate the learning around actual work. Otherwise some people sit through material they will not use while the questions that matter to others remain unanswered.
Ask the training provider to describe the intended ability. “Understand AI” is too broad. “Check a draft against its sources and recognise missing information” can be practised and observed.
The imperfect example is more useful teaching material
A successful demonstration teaches operation. A deliberately incomplete case reveals whether someone can assess the output.
For the customer reply above, provide the original request and a draft containing an unsupported promise. Ask the participant to explain which sentence is wrong, correct it and decide whether a follow-up question is needed. This is a proposed exercise, not a claim about a completed training session.
Then change the case. Two sources may disagree, or the essential fact may be absent altogether. That reveals whether the person understands the check or has only repeated the demonstrated answer.
Introductory courses and project training do different jobs
In Saxony, the KI-Hub Sachsen-Thüringen is a starting point for learning and initial practical projects. The Zukunftszentrum Sachsen is another place to investigate relevant support. Look at the audience, content and current format.
An introductory course can help a team exploring the subject. A team introducing a specific workflow also needs practice with its own rules and exceptions. That may be organised internally or with suitable support.
A company needing the fundamentals should be able to learn them without commissioning an implementation project.
A legal requirement is not a complete curriculum
The European Commission’s explanation of Article 4 of the AI Act discusses AI literacy measures in relation to experience and context of use. That does not make one standard course or universal certificate the right answer for every organisation.
Record who uses which systems, what risks they need to understand and what measures you provide. Observing a practical ability and assessing the legal requirements of a particular deployment remain separate tasks. Completing a course does not settle every requirement.
Our standalone EU AI Act checker remains available as an orientation tool. It does not replace a professional assessment of the actual case.
Look at the next task after the course
Arrange a short review of real questions once people return to work. Where was a source missing? Which instruction was unclear? What could someone correct independently, and when did they need help?
That tells you what to practise next. A person may need more confidence checking an output. Or the process itself may need better source material. Uncertainty is not always a gap in an employee’s knowledge.
Practise the review in Pharen Hub
In Pharen Hub, Agents work with a defined task, permitted sources and boundaries. Workflows can place a human review before the next action. For training, we can use that setup to practise checking the delivery-date draft against its source and correcting it before approval. The learning goal remains the person’s judgement, not simply finding the approval button.
Bring a typical draft and its sources to the training discussion.
