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Daniel Dahan · AI training for teams
AI in your team’s work.
Let’s start with a real task.
I teach teams how to move from “what can it do?” to useful everyday work with AI. Through concrete examples, with room for questions, mistakes and checking the result.
Who it is for
Not everyone needs to become an AI specialist.
For teams starting to use AI or looking to bring structure to their first experiments. For managers and business owners who want to understand relevant uses, limitations and a sensible next step for their company.
What we work on
Beyond the prompt. All the way to a result.
We choose tasks that fit participants’ roles. I show the whole process: source material, questions, an initial response, verification and revision. These examples illustrate what a workshop can cover:
Prepare content
Move from a brief and product information to a draft, checking factual accuracy and suitability for the audience.
Turn notes into next steps
Identify tasks, responsibilities and open questions without treating assumptions as agreements.
How we work
See it. Try it. Check it.
- 01
Understand the task
What needs to be produced, who will use it and what would make the result useful?
- 02
Work through an example
I demonstrate the process live, including what to do when the first answer is incomplete or wrong.
- 03
Participants take part
With computers, they carry out their own task. In a demonstration-led format, they examine the example and map a task from their own work.
- 04
Check and keep what works
We distinguish a useful result from an impressive answer, then record the approach, its limits and a next step.
Lessons from the classroom
The programme learns from the people in the room.
Show the whole example first
One lesson from teaching was to demonstrate a complete example before independent work. Even a clear explanation does not always show someone how to begin.
Individual pace, shared steps
In the practical session, participants built their own ways of working with AI, including scheduling tasks. A clear sequence helped them continue independently despite differences in experience.
That is why I start with people, their tasks and their working conditions. The number of tools shown is not my measure of a good workshop.
What we agree beforehand
The format needs to fit the setting.
Hands-on workshop
Participants carry out tasks and check the responses. Before the session, we agree on tool access, materials and the group’s starting level.
Demonstrations and guided exercises
Without individual access to tools, we use a shared screen and task sheets. This lets people experience the approach; it is not a promise of hands-on proficiency without practice.
We use materials prepared for safe use. I do not ask participants to paste confidential company data into tools. AI can draft a proposal; a person checks it before making a decision, sending it or publishing it.
Training or implementation?
Training builds the ability to work with tools. If a problem requires connecting company data, integrating systems or changing a process, we discuss a separate implementation. Those are different commitments.
Explore BusinessOS →Let’s talk
What would your team like to handle better?
Tell me what the company does, who would attend and which task is difficult today. We can use that to discuss the scope and format. Timing and pricing are agreed individually.
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