Documents, reports and long material
Extract questions, compare versions, build a draft and return to the source before relying on it.
Practical AI workshops for teams
Most of the session is spent on the team's own work. The content is built around their real tasks, and the scope is set by what they need to take with them.
Most of the session is spent on the team's own work
The session starts with a short explanation and a demonstration on a familiar task, then the team applies the principle itself. The work uses material that may be used, with a built-in stop to review the result.
At the end of the session the wording, templates and review rules that worked are collected. That is the material the team takes into the working day.
- UnderstandWhat the tool can do, and where it is likely to be wrong.
- TryOn a task the participants already know.
- ReviewThe sources, the numbers and the fit to the purpose.
- KeepA working method that can be used again.
The content is built around the team's tasks
The exact mix is set by the roles, the kinds of material and the aims defined for the session.
Spreadsheets and data
Write a formula, read a table, spot an exception and explain a result while checking the data and the calculation.
Writing and preparing outputs
Build a brief, a draft, a presentation or a message that fits the audience and the purpose of the work.
Research and checking information
Ask better questions, separate fact from hypothesis and require sources that can be opened.
Rules for sensitive information
Understand which information stays out, when to work without names and which tool fits each kind of material.
A task that continues on its own
Give a tool a task, files and boundaries, and build stopping points before a significant action.
The scope is set by what the team needs to take with it
A focused session
Useful when there is a clear problem to solve, such as summarizing a document, analyzing a sheet or preparing a draft.
A broader workshop
Work on several tasks, compare methods and define shared rules for the team.
A workshop with follow-up
Return after the team has tried the material at work, correct the templates and go deeper where people got stuck.
A workshop as an opening for broader adoption
A focused workshop can establish a shared language and a first working method. When the aim includes change in a department's processes, the work can continue into work by role, follow-up and use measurement.
Organizational adoption processQuestions that usually come up
Is the workshop tailored to the organization?
Yes. Before the session, roles, tasks and examples that may be used are chosen. A workshop for a finance team does not look like a workshop for a marketing team.
Which AI tools are taught?
The work uses tools that fit the task and that have been approved in the organization, for example ChatGPT or Claude. The aim is not to walk through a product list, but to do better work.
Should people bring material from work?
Preferably. A document, report, spreadsheet or real task makes the practice useful. If the material is sensitive, an anonymous version or an alternative example is prepared in advance.
Is prior experience required?
No. The pace is fitted to the level in the room. In a mixed group, exercises can be built at different levels around the same task.
Can the workshop take place at the company's offices?
Yes. The work can take place at the organization's offices across the country or in an online session, according to the group and the chosen exercises.
Is one workshop enough for adoption?
Sometimes it is enough to solve a focused task. Broader habit change usually needs a return, follow-up or work by role.
AI news
A conversation about one work process
The first conversation describes the process, where the information lives and what needs to change. From there it is clear whether to start with training, automation or a system.