Show what AI really changes in real work
Many organisations already use AI, yet the value stays hard to grasp. In the Reality Lab I test on a real task where AI saves time, improves quality, or makes knowledge more usable. The focus is solid observation rather than show effects.
What it is about
A practical entry point for everyone who wants to experience AI in real work. I pick a task from daily work, look at today's flow, and test how AI genuinely supports it.
Suitable tasks
Turn meeting notes into decisions, tasks, and risks
Sort email threads and derive next steps
Structure documents and make gaps visible
Prepare recurring reports
Review first assistants or prompt systems
How it works
Pick a task. A concrete task that really occurs and creates effort.
Capture the situation. How is it done today, which data, where is the friction?
Test AI support. A first flow with clear prompts, check steps, and result formats.
Make the impact visible. Compare old and new by time, quality, rework, and risk.
Outcome
A reviewed example task
A visible before and after comparison
Concrete insights on AI use in daily work
First prompt or workflow building blocks
A recommendation for the next sensible step
What is deliberately not promised
The Reality Lab is not a full rollout and does not replace data protection approval or IT architecture. It quickly shows whether a topic has substance and which next step is worth it.
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.
Next steps
A good fit after this: Impact Day, AI training, or Implementation and prototyping.