Demonstrating what AI truly changes in real work
Many organisations already use AI, but the tangible value remains hard to measure. In the Reality Lab, I test real tasks to observe where AI saves time, improves quality, or makes knowledge accessible. Reliable observation over show effects.
What it is about
A practical way to see what AI actually does to real work. We pick one task from your everyday routine, look at how it runs today, and test where AI genuinely helps.
Suitable tasks
Turning meeting notes into decisions, actions and risks
Sorting email threads and deriving next steps
Structuring documents and making gaps visible
Preparing recurring reports
Reviewing a first assistant or prompt system
How it works
Choose a task. Something concrete that really occurs and really costs effort.
Record the starting point. How is it done today, which data is involved, where does friction appear?
Test AI support. A first workflow with clear prompts, review steps and output formats.
Make the difference visible. Compare old and new by time, quality, rework and risk.
What you get
One reviewed example task
A visible before-and-after comparison
Concrete insights into using AI in everyday work
First prompt or workflow building blocks
A recommendation for the next sensible step
What this deliberately does not promise
The Reality Lab is not a full rollout, and it does not replace data protection sign-off or IT architecture. It shows quickly whether a topic has substance and which next step is worth taking.
Method
A real task, visible proof, clear anchoring. I start with one concrete task, check what changes in everyday work, and secure the result so it stays usable.
Next steps
A good fit afterwards: Impact Day, AI training, or implementation and prototyping.