An AI workshop that leaves something behind
An AI workshop with a working prototype at the end.
The usual AI workshop ends with full notebooks and a good feeling that fades after two weeks. Our AI workshop ends with a working prototype. Your team works hands-on on a real use case from its own daily work and builds a running solution with modern tools. That is the difference between listening and doing. People who built it themselves apply it afterwards, and that is exactly the point of an AI workshop worth running.
Next step
What you gain
You gain a team that does not just know AI but uses it, and a result that stays.
Instead of an attendance certificate you take away a prototype, a configured toolstack setup and colleagues who can tackle the next use case themselves.
The fixed scope keeps the effort predictable, the format is done in days.
The workshop can serve as one documented component of a proportionate AI-literacy programme under Article 4; additional measures depend on roles, systems and risks.
How the workshop runs
The flow is clear and dense. At the end stands a result, not a slide deck.
- Tool start
A short start so everyone begins on the same level, regardless of prior knowledge. (Duration: 30 minutes. Output: shared basis)
- Challenge choice
We pick the real task to build on. (Duration: 60 minutes. Output: chosen challenge)
- Build
Your team creates the prototype with our coaching, on real data, with tools like Lovable, n8n, custom GPTs and Claude Code. (Duration: 3 to 4 hours. Output: working prototype)
- Pitch
The result is shown and goes straight into use. (Duration: 45 minutes. Output: result plus next steps)
If you want, use the more intensive AI hackathon format across several days and teams, the same idea at a larger scale.
Typical workshop challenges
What teams start with are tasks that cost time in daily work. An email reply assistant that pulls context from the inbox and drafts answers in your own tone. A daily briefing agent that bundles to-dos and commitments from mail and chat. A meeting-to-action-items tool that turns a transcript into owners and deadlines. An internal knowledge bot on your own documents. You pick the challenge that really occupies you, we bring the stack and the guidance.
AI workshop with prototype vs. classic AI seminar
A classic seminar transfers knowledge on slides, a workshop lets the team apply the knowledge and build with it.
- After the seminar a certificate remains, after the workshop a prototype and a team that can continue.
- The difference shows after 30 days, when the seminar is forgotten and the prototype still runs.
- If you want delivery afterwards, the direct continuation is on AI implementation that takes the prototype into production.
| Criterion | Classic AI seminar | AI workshop with prototype |
|---|---|---|
| Result | knowledge, certificate | working prototype |
| Format | lecture, slides | hands-on, real data |
| Application afterwards | low | high, because self-built |
| Toolstack | theory | proven in use |
| Continuation | open | straight into implementation |
Book your strategy call at our booking calendar or reach us at info@ki-agentur.co.
Book a strategy call
Book your strategy call via the calendar: Book a strategy call. Alternatively, reach us by email at info@ki-agentur.co.
- Pick a slot right in the calendar
- Clarify your use case and goals together
- A clear next step after the call
Or send an email to info@ki-agentur.co
Pick a free slot.