Potential analysis for your first or next orchestration case.
We assess process maturity, data reality, risk, economic leverage, and the right starting path.
Short answer: what does the potential analysis deliver?
A structured first assessment of which process carries a first pilot economically and from a governance perspective — with capacity, cost and approval logic instead of gut feeling.
Example from our potential calculator: 8 people with 6 hours of repetitive work per week and a 40% automatable share release 998 hours per year, or 0.59 full-time equivalents.
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Every Saturday at 11:00 Europe/Berlin, the format gives a compact mix of market filtering, practical cases, questions, and clear next steps.
Next session: Saturday, September 12, 2026 at 11:00 · Europe/Berlin. The series then continues on a weekly rhythm.
What an AI potential analysis is
An AI potential analysis is a structured first assessment: before you invest, it clarifies which specific process AI agents can sensibly take load off — and which they cannot.
Five things are assessed: how mature the process is, what the data situation really looks like, the decision rights (what an agent may prepare and what people must decide), the risks from privacy, governance and the supply chain, and the economic leverage.
The result is an assessment, not an offer: one named entry case, the metric its success can later be measured against — and a clear statement when a case does not hold up.
What we capture in the potential analysis
Not as a pitch, but as a defensible first qualification.
- Which process currently creates friction, waiting time, or repetitive manual work?
- Which data sources and systems are involved?
- Which decisions may an agent prepare but must not take autonomously?
- Where do privacy, governance, or supply-chain risks appear?
- Which metric later proves that the rollout is economically worthwhile?
Frequently asked questions about the potential analysis
Who is a potential analysis worthwhile for?
For companies with at least one recurring, clearly describable process where it is genuinely open whether AI agents can carry it. Without that concrete process there is no basis — then a general orientation is more honest than an analysis.
How does it differ from the ROI calculator?
The ROI calculator estimates the economic effect of a process from a few inputs. The potential analysis additionally examines data situation, decision rights and risks — that is, whether that effect can be realised at all.
What should we gather beforehand?
A description of the process, the systems and data sources involved, and the question of which decisions must stay with people internally. The more concrete this is, the more defensible the assessment.
What happens if no case pays off?
Then we say so. An analysis that declares every case viable would be worthless — its value lies precisely in ruling out hopeless cases early.
What you can start with right away
Three entry points that work without an appointment — and make the later analysis more concrete.
Request analysis
The more concrete your information, the faster we can assess the case.
Start potential analysis
If you want to prioritize a real process, a few clear inputs are enough for a strong first assessment.