In this episode we discuss how an initial pilot for a sensitive AI system can be scoped so that it creates more than demo value and actually improves learning quality and decision quality.
Topics covered
- Which questions should be clarified before a project starts
- Why oversized pilots usually lose focus
- Which signals indicate a strong operating context
Three working principles
A pilot becomes useful when it is tightly framed, has visible responsibility, and learns from real cases instead of idealized examples.
That reduces expectation fog and makes progress observable.
Next step
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