Most AI pilots do not fail
on the model.
They fail on data that was never meant for machine use. The model is rarely the problem.
Workshop · 1 day · from €5,500
Data first.
Then AI.
Which AI use cases are actually worth it — and which fail on your data foundation? Clarity in one day.
The starting point
Why this workshop?
Three observations from AI projects across industries.
Most AI pilots do not fail
AI activity is not
AI productivity.
Many companies confuse experimenting with value creation. We separate the two cleanly.
From €100 to €1 —
what suddenly pays off?
The most exciting use cases come from this question. But only if the data foundation supports them.
Self-test · 10 questions · 3 minutes
How AI-ready are you really?
Answer 10 yes/no questions on AI initiatives, use-case maturity, and data foundation. At the end you see your maturity level and a concrete entry recommendation.
Workshop agenda
What happens during this day?
Five blocks, one outcome per block. On-site, with a cross-functional team.
- 01
Strategic stress test
Eight curated strategy questions in the room: activity vs. productivity, strategy vs. experiments, what does inaction cost? 90 min.
- 02
Use-case inventory
Brainstorming along the value chain: 15–25 candidates with value and required data. 120 min.
- 03
Data reality check
A traffic light per use case: green (we have it), yellow (partial), red (fantasy). 80% drop out by design. 90 min.
- 04
Top-3 prioritization
Business impact × data maturity. The three strongest use cases get detailed. 120 min.
- 05
Pilot sketch
90-day plan for use case number one. 30 min.
Workshop package
Outcome and price.
What you take home after one day — and what it costs.
What you take home
- Use-case long list with traffic-light scoring (all candidates, transparent)
- Top-3 AI use cases with data-foundation specification
- 90-day pilot plan for use case number one
- Maturity findings with a clear recommendation: data foundation project yes/no
- 30-minute follow-up call with leadership 2 weeks later, included
References
Who has done this before?
Anonymized cases — specific references on request.
"Of 18 AI ideas, 3 realistic ones remained."
That saved us a burned budget. The first use case runs productively today.
"We thought we needed AI."
We first needed a clean data model. The workshop made that clear in one day.
"The first use case went live after 90 days."
Productive — because we clarified the data question first, not during the pilot.
FAQ
Frequently asked questions
Is the workshop only for companies already using AI?
No. Those just starting benefit most — we prevent investment in unrealistic use cases. Those already running AI sharpen their prioritization.
How is this different from AI strategy consulting?
We deliver no slides but a prioritized use-case list with data-maturity scoring and a 90-day pilot plan. Concrete, not abstract.
Is this about manufacturing AI or predictive maintenance?
No. We focus on data-driven business use cases — product data, sales, service, compliance automation. Production-line IoT is not our field.
Who from our team should attend?
Cross-functional: leadership or innovation leads, IT, and business units with concrete AI interest. 5 to 8 people.
What happens after the workshop?
You receive the findings within 2 weeks, then a 30-minute follow-up call. Depending on the result: a data foundation project or a direct AI pilot.
What if the workshop shows we are not ready yet?
Then that is the most valuable result. We show what needs to be built first — usually a clean data model. That saves you a burned AI budget.
Do we need technical knowledge?
No. The workshop is for decision-makers and business units, not data scientists. We clarify the data questions together, in plain language.
What does a follow-on AI pilot cost?
A typical pilot runs at 30–60 person-days, depending on the use case. Concrete numbers come from the workshop result.
Discovery call · 15 minutes · no sales pressure
Your contacts
We clarify together whether the workshop is the right fit for you — or not.
Mike Streibl
Digital Transformator · +Pluswerk
Data strategy, AI reality-check, and workshop facilitation. Has supported mid-sized companies on PIM, MDM, and data economy projects for 20 years.
Johannes Przymusinski
Solution Architect · +Pluswerk
Data model architecture and pilot delivery. 6 years of Solution Architecture, all three Pimcore Developer certificates (Junior, Senior, Enterprise).
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