Workshops for leaders
AI Practice Workshop for leaders.
In the AI Practice Workshop up to four leaders set up AI for their own work. In the management workshop the leadership team decides together where AI matters economically and where to start.
- Duration
- 1 day on site
- Practice workshop
- up to 4 people
- Management workshop
- 6–12 people
- Write-up
- within 1 week
AI Practice Workshop · on your own tasks
- 01
Preparation
Your tasks
Preparatory call, questionnaire and tech check
- 02
Practice day
Your tool
One day: set up your own routines and check results
- 03
Follow-up
Your daily work
Short guide and a personal one-to-one session
Format 1 · AI Practice Workshop
Your leaders work with AI themselves, on the tasks they handle every week.
Leaders do not need to code. They should know what they can delegate to AI and where they have to check for themselves.
Whether a vendor overpromises, a pilot is realistic or a ban is needed is hard to judge without having experienced what AI does today and where it fails. So this day starts with your own work: each person tries out which tasks they can hand to AI and sets up the matching routine.
- Participants
- up to 4 people
- Format
- 1 day on site, one-to-ones by video
- Result
- a set-up toolkit per person
- Follow-up
- short guide within 1 week, 1-hour one-to-one per person
What you try out on your own tasks
Good prompts
Turn three offers into a decision paper with comparison, recommendation and open risks.
Standing context
Record metric definitions, report format and taboos once instead of explaining them in every chat.
Connectors
Prepare a customer conversation from mail history, the last minutes and the open offer.
Skills
“Comment on monthly variance”: compares actuals, plan and prior year and writes the comment in your format.
Agents and long tasks
Have three possible suppliers compared with a table, an assessment and sources while you do something else.
Schedules
Every Monday at 7: key appointments, open points from last week’s mail and industry news on one page.
Which features your tool offers for this is settled in the preparatory call and the tech check. The exercises are matched to it.
Before
- Preparatory call: tool, participants, existing rules, permitted documents
- Questionnaire (about 15 minutes): the two or three tasks that cost the most time each week
- Tech check (about 30 minutes) with your IT: accounts and features
The day
- Foundations: good prompt, standing rules, skills, connectors, agents, schedules
- Focus: your own use cases in your own tool, with Stefan and Alexander at your side
- No rigid agenda: emphasis follows prior knowledge and questionnaire
Afterwards
- Short guide with templates within one week, separate for each person and editable
- One-to-one session (1 hour by video) per person, about a week later
- Refine together: what has worked, where it sticks, which building block comes next
Prerequisite
A business account for a shared AI tool for each person, such as ChatGPT, Claude, Microsoft 365 Copilot or Gemini, with a data processing agreement, and a laptop. If access is missing, we clarify in the preparatory call what is needed first. Everything stays in your own accounts. Our live examples use public or synthetic data.
Not part of this format: tool selection, licences, programming, integrations into business systems and company-wide roll-out.
Format 2 · AI Adoption Management Workshop
The leadership team decides together where AI matters and where it starts.
What the day looks like
Your leadership team at one table, your processes on the whiteboard. By the end it is clear which bottleneck comes first. Illustration.
Why this workshop
Leadership doesn’t need to code, but it needs to be able to decide.
In many companies AI is happening in three places at once: staff use private accounts, IT trials licences, and individual departments launch pilots. What is missing is a shared picture in the leadership team, and a prioritisation that weighs value, data and risk together.
That is what this day delivers. Stefan brings the perspective of management, controlling and operational excellence; Alexander the technical reality of models, data and integrations. You get both, without anything lost in translation.
Who it’s for
Executive leadership
who are accountable for AI investments and don’t want to decide on gut feeling.
Operational leadership
from plant, operations, sales, purchasing or customer service, who know where things really get stuck.
IT & digital
who need to judge feasibility, data readiness and operation realistically.
Agenda
One day in six steps.
Sample agenda. We adapt the focus to your situation in the preparatory call.
- 09:00
Where do we really stand?
A quick inventory: what AI use already exists, official and unofficial? Where are licences, pilots and policies? Placed on a maturity model that rates normal operations, not intentions.
- 10:00
What AI does today, live
No hype slides. Using examples from your own context we show what current models, agents and connected company data can do today, and where they reliably fail.
- 11:30
Surface the bottlenecks
Together with operational leadership: where do you lose time, margin or decision quality? Processes, recurring decisions, knowledge tasks, indirect functions.
- 13:30
Set the guardrails
Which data may go into which tool? What do GDPR, the AI Act and works-council law actually require? Where are the red lines, and where are bans unnecessary?
- 14:30
Prioritise
Candidates are scored on value, feasibility, data readiness and risk. The result: three initiatives worth doing, and a deliberate list of what you will not do now.
- 16:00
Next step
The most important initiative gets a one-page brief: question, owners, data, metric, acceptance criteria. You decide if, when and with whom to start.
What you take away
Results you can work with the next morning.
Shared situation picture
Where your current AI use and maturity stand, agreed within the leadership team.
Prioritised initiative map
All candidates with value, feasibility, data readiness and risk, transparently scored.
Brief for the top initiative
Question, ownership, data sources, metric and acceptance criteria on one page.
Draft guardrails
Data traffic light and tool tiers as the basis for your AI policy.
Written summary
Within one week: results, recommendations and open items.
And then?
You deliver it yourselves, or we support the first initiative, for example as a Decision Sprint.
See initiatives →
FAQ
About the workshop
How many participants make sense?
How do we prepare?
On site or online?
What does the workshop cost?
Do we have to commission an initiative afterwards?
Next step
Is the workshop right for your leadership team?
We can find out in 30 minutes. You describe the situation, we tell you honestly whether a workshop is the right starting point, or something else.
