What do you gain?
Practical impact, not a theory circus
Automate
Discover how one smart prompt makes repetitive tasks disappear so your people can focus on creative work.
Integrate
Connect AI output directly to existing workflowsâfrom CRM to Power BIâand make processes 30% smoother.
Innovate
Use experiment sprints to invent new services that seemed impossible only yesterday.
Secure
Learn safe prompt patterns and policy so data stays protected and compliance risks decrease.
Short but powerful.
A steep learning curve? We turn it into a gentle slope.

AI is everywhere
We notice that almost every company has tried a one-off ChatGPT pilot, yet structural value often fails to emerge. That is why we combine theory (maximum 20%) and practice (minimum 80%) in a single session.
Ready for use
Participants leave the room with a set of crafted prompts, a prototype workflow and a list of next steps. Not just a fun Friday afternoon exercise but something that saves time on Monday.
Immediate productivity gain
Improved AI literacy across the team
Safe, repeatable prompt frameworks
Inspiration for future AI agents
Clear decision criteria for next steps
Programme in 5 steps.
From context to prototype: this is how we extract maximum value from AI in a single session.

Step 1 â Set the context.
We start with a quick baseline assessment: which tools does your organisation already use, where are the bottlenecks, what is the level of data maturity? By showing concrete examples from your practice we create a shared framework.

Step 2 â The power of prompts.
From basic to expert. We explain the building blocksârole, goal, context, constraintsâand demonstrate prompt chaining for more complex tasks. The group applies this immediately to its own cases so aha moments arise spontaneously.

Step 3 â ChatGPT in your daily work.
Brainstorming, rewriting, analysing tables; we show how ChatGPT Plus also processes images and raw data. We continually stress the importance of human oversight.

Step 4 â Beyond ChatGPT: AI agents.
Participants discover how internal knowledge bases, API connections and file systems merge into a mini agentâa digital colleague that handles tickets or drafts social posts.

Step 5 â Build a prototype.
During the break-out sub-teams immediately create a working prototype, often in Zapier, Make or Python. The result is a live workflow before the session ends, however small.
A philosophical view on AI adoption

From fear to curiosity
History shows that every technological wave both eliminates and creates jobs. Artificial intelligence is no exception. Yet todayâs debate is often polarised: utopia versus doom. During the AI workshop we nuance that opposition.
Queues disappear, value rises
By automating routine tasks humans can focus again on connection and creativity. That may sound idealistic, but examples such as automated customer service show a measurably higher NPS.
Responsibility remains human
Although models are becoming faster, ethics is still a human task. We therefore always spend time on bias detection and the formulation of guardrails, because only then can trust grow.
Seven concrete prompt formats

Ready to try in your job
Everyone googles "best prompt", but copying rarely works. That is why we teach you to create tailored templates.
Persona prompt
Ask ChatGPT to act as "Senior B2B SaaS marketer" and you suddenly receive contextual advice instead of generic copy.
Format prompt
Provide a JSON schema or table structure and the AI returns data ready for upload.
Style prompt
Specify tone, jargon and humour. For example: "Write in plain language, casual, with an occasional joke."
Checklist prompt
Red-team prompt (spotting errors)
Scenario prompt
Multi-step prompt
A critical note: limitations and pitfalls

AI does a lot, but not everything
Generative models sometimes hallucinateâthat is common knowledge. But there are subtler risks: over-reliance, waning creativity, hidden costs.
Data leak lurking
Paste your internal KPIs into a public tool and that information could theoretically feed model training. Hence we teach safe zones and scrub strategies.
Pseudo-optimisation
An AI-generated report may look fancy, but if the data source is flawed it remains worthless. We therefore emphasise data cleaning before automation.


Ready to work smarter?
Schedule a no-obligation call and discover how our AI workshop gives your people and processes an acceleration boost. We listen first, advise secondâand only then plan the session.
đ Why do we need an AI workshop if employees are already experimenting with ChatGPT?
A one-off experiment prompt is fun but rarely leads to structural productivity growth. The workshop establishes a common foundation, introduces security guidelines and delivers ready-made workflows that are integrated straight away.
đ€ How long does the AI workshop take?
On average half a day. We sometimes extend with an extra prototype afternoon, but that depends on your schedule.
đĄ Can non-tech colleagues join as well?
Absolutely. We use clear language and plenty of practical examples. In our experience marketing or HR teams often achieve the biggest gains.
đĄïž Is our data safe?
Yes. We demonstrate how to anonymise sensitive information, how to deploy closed-source models and which policy rules are essential.
đ What is the difference between this AI workshop and standard training sessions?
We focus on doing, not just listening. Participants build a mini agent or workflow themselves so the learning curve is steeper and the ROI becomes tangible.
đ How do we measure success afterwards?
We define KPIs in advanceâtime saved, error reduction, customer satisfactionâand plan a follow-up to check results and fine-tune.
đ° How much does such an AI workshop cost?
That depends on group size and extra modules. During an intake we explore the scope and only then send a proposal.
đŻ Can we train multiple teams at the same time?
Certainly. We split the group into parallel tracks and scale up guidance with additional AI experts to guarantee quality.