Orientation

First sort out what really helps

When AI is interesting but priorities, risks, and next steps are still unclear, a clear view of the situation creates order. I sort out with you where AI genuinely helps and which entry point is realistic.

Sort the situation More on the AI Reality Lab

What it is about

Most AI efforts fail on the question of where AI actually helps. That is what I clarify first. Many options become one reliable direction before time, budget, or energy drift the wrong way.

Typical starting situations

AI is already being tried, but without a common line.
There are many ideas, but no prioritisation.
Leaders want to understand the potential, without hype.
Data protection, quality, and responsibility are still open.
First training happened, but everyday practice stays unclear.

How it works

Understand the situation. I clarify where AI is used today and which tasks create the most friction.
Sort the options. I separate quick wins, necessary guardrails, and topics for later.
Make risks visible. Data, approvals, roles, and possible misuse come up early.
Define the next step. The result is a clear entry point that fits the organisation, rather than a heavy strategy plan.

Outcome

A clear picture of the situation
Prioritised fields of action
Realistic first use cases
Notes on risks and responsibilities
A recommendation for the next step

Suitable formats

Orientation call: first overview and quick assessment. Duration: 60 to 90 minutes. Good for management, project leads, domain owners.
Decision workshop: assess and prioritise several options. Duration: half a day. Good for organisations before introducing or expanding AI use.
AI Reality Lab: test on a real task what AI concretely changes. Duration: one session plus review.

Method

A real task, visible proof, clear anchoring. I start with a concrete task, check the difference in everyday work, and secure the result so it can keep being used.