Understand AI, on your own cases.
Workshops for leadership and teams that work with real use cases from your company, not generic slides.
Generic AI workshops inform but don't enable action
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.
A working first approach instead of AI slides
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.
From the pre-call to a working prototype
- 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.
Leadership, departments, or both combined
| 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
No keynote talks and no product pitches
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 | |
|---|---|---|---|
| B2B services company, family-run | The leadership team discussed AI ideas without shared selection criteria. | An assessed process list with initial initiatives, owners and next steps. | Leadership can start implementation and explain why other ideas were deferred. |
| E-commerce company, owner-led | Developers used AI tools individually and assessed results differently. | A configured toolchain, tested quality checks and a shared measurement plan. | The team can use agents for suitable tasks and review changes in a controlled way. |
| PE fund with advisory boards, partner-led | Pitch decks and management reports contained AI promises that were hard to verify. | A shared review framework with evidence requests, red flags and DD assignments. | The investment team and advisory boards can question AI claims more precisely and commission reviews. |
| Continuing education provider, owner-led | The service team wanted its own workflow to prepare responses to recurring course inquiries. | A working n8n workflow with LLM drafts, approval and a documented handover. | The team can run, check and adapt the workflow itself within clear boundaries. |
B2B services company, family-run
Ausgangslage
The leadership team discussed AI ideas without shared selection criteria.
Umsetzung
An assessed process list with initial initiatives, owners and next steps.
Ergebnis
Leadership can start implementation and explain why other ideas were deferred.
Ausgangslage
Developers used AI tools individually and assessed results differently.
Umsetzung
A configured toolchain, tested quality checks and a shared measurement plan.
Ergebnis
The team can use agents for suitable tasks and review changes in a controlled way.
PE fund with advisory boards, partner-led
Ausgangslage
Pitch decks and management reports contained AI promises that were hard to verify.
Umsetzung
A shared review framework with evidence requests, red flags and DD assignments.
Ergebnis
The investment team and advisory boards can question AI claims more precisely and commission reviews.
Continuing education provider, owner-led
Ausgangslage
The service team wanted its own workflow to prepare responses to recurring course inquiries.
Umsetzung
A working n8n workflow with LLM drafts, approval and a documented handover.
Ergebnis
The team can run, check and adapt the workflow itself within clear boundaries.
A first conversation takes 30 minutes.
We discuss which tasks from your company are suited to a workshop.