Enterprise AI
Pilot
A limited real-world rollout used to test value, usability, and risk before scaling.
Example
One region uses the new assistant for eight weeks to test adoption and business results.
Why it matters
It helps teams learn from limited real use before exposing everyone to the change.
You'll hear it
“What did the pilot teach us about the difficult cases?”
Can you control it?
Sometimes
Sometimes. An organization can define or influence a pilot through its policies, processes, contracts, and product choices. Individual users may have fewer controls.
Common questions
- Can enthusiastic volunteers distort the results?
- Yes. Early users may differ from the wider group in skills, interest or tolerance for problems.
- Does a successful pilot guarantee success at scale?
- No. Larger demand and more varied users can expose new constraints.
- Should a pilot include a stopping option?
- Yes. Discovering that an approach is unsuitable can be a valuable result.