Narrow the idea
A broad AI ambition becomes actionable when it is translated into one workflow, one user group, and one measurable outcome.
This makes tradeoffs visible and helps teams decide whether to train, prototype, integrate, or defer.
Move with evidence
Implementation decisions should be based on workflow evidence: data access, user behavior, expected time savings, review burden, and operational risk.
The next step should be concrete enough for leaders and operators to evaluate together.