Understand AI, on your own cases.
Workshops for leadership and teams that work with real use cases from your company, not generic slides.
The situation
Most AI workshops stay generic: what is a language model, what can a chatbot do. Afterward, participants are informed but not capable of acting, because nothing connects to their own daily work.
We work on real tasks from your company: a report that's assembled manually every week, a request that always gets the same answer, research that costs hours. In the workshop, participants build a first working approach, not theory.
Afterward, participants know what AI is suited for in their area, what it isn't, and what next step they can take themselves.
Deliverables
Needs clarification upfront
A short conversation to assess the relevant tasks and the participants' level of knowledge.
Workshop with real cases
Work on concrete tasks from participants' everyday work, not examples from a slide deck.
A working first approach
By the end of the workshop, there's a working prototype or prompt for at least one use case.
Context on limits and risks
A clear explanation of where language models are reliable and where oversight is still needed.
Next steps per participant
A concrete recommendation for what each participant can implement next on their own.
Our approach
- 01
Preliminary conversation
We clarify audience, prior knowledge, and relevant tasks with the responsible parties.
- 02
Select cases
We jointly select the tasks to work on during the workshop.
- 03
Run the workshop
We facilitate hands-on work on the cases, with short explanation blocks in between.
- 04
Hand over results and next steps
We summarize results and name concrete next steps per participant or team.
Typical clients
| Format | Suited for |
|---|---|
| Leadership workshop | Leadership team, focused on decisions and priorities |
| Business-unit workshop | Teams from customer service, marketing, finance, or sales, focused on concrete tasks |
| Combined format | Leadership and business units together, when a shared prioritization is the goal |
Suited for: Leadership team, focused on decisions and priorities
Suited for: Teams from customer service, marketing, finance, or sales, focused on concrete tasks
Suited for: Leadership and business units together, when a shared prioritization is the goal
Outside our scope
We don't give generic keynote talks unrelated to your company, and we don't sell tool licenses afterward. A workshop also doesn't replace implementation: for use cases meant to go into production, a dedicated project follows.
Frequently asked questions
| Ausgangslage | Umsetzung | Ergebnis | |
|---|---|---|---|
| EdTech company, PE-financed | PE-financed EdTech company, technical picture unclear before the investment. | Tech DD, greenfield architecture, AI agents in production, AI-assisted engineering organization. | The company runs AI in day-to-day operations, not just in pilot projects. |
| EdTech company, engineering organization | Engineering team used AI coding tools individually, without a shared workflow. | Toolchain, adapted workflow, and quality gates for AI-assisted development. | The team works agentically as the default, with controls that fit the new way of working. |
| EdTech company, content production | Content production ran step by step by hand and depended on a few people. | n8n pipeline with LLM steps for drafting, structuring, and formatting, with human sign-off. | The content team works on quality, not on mechanical intermediate steps. |
Ausgangslage
PE-financed EdTech company, technical picture unclear before the investment.
Umsetzung
Tech DD, greenfield architecture, AI agents in production, AI-assisted engineering organization.
Ergebnis
The company runs AI in day-to-day operations, not just in pilot projects.
EdTech company, engineering organization
Ausgangslage
Engineering team used AI coding tools individually, without a shared workflow.
Umsetzung
Toolchain, adapted workflow, and quality gates for AI-assisted development.
Ergebnis
The team works agentically as the default, with controls that fit the new way of working.
EdTech company, content production
Ausgangslage
Content production ran step by step by hand and depended on a few people.
Umsetzung
n8n pipeline with LLM steps for drafting, structuring, and formatting, with human sign-off.
Ergebnis
The content team works on quality, not on mechanical intermediate steps.
Initial call: 30 minutes, concrete.
We discuss which tasks from your company are suited to a workshop.