Many companies test AI. Significantly fewer bring it into everyday life. The difference rarely lies in the technology.
Why pilot projects peter out
A pilot thrives on curiosity and exception. Everyday life thrives on repetition and responsibility. Between the two, the unspectacular part is often missing: clear processes, responsibilities and time for practice.
Three prerequisites for everyday use
- A specific process: Not 'AI in marketing', but 'drafting quotation texts'.
- Access to the right data, and an idea of what may be missing.
- A responsible person who reviews results and answers questions.
Small applications, big impact
The most valuable entry points are small and recurring:
- Summarise meeting notes and translate into tasks.
- Create initial drafts for texts, offers or concepts.
- Search internal documents and find answers.
- Check routine data and mark deviations.
Take people along
AI changes roles before it changes positions. Teams need guardrails: What may be entered? Who checks results? When does a person decide? Training is not a one-off appointment, but part of the routine.
The best pilot is useless if nobody knows how it changes the working day.
Conclusion
A pilot becomes routine when responsibility, process and practice come together. Anyone who clarifies these three points does not need new technology for the next step, only decisions.