When AI Use Requires a Guess

An employee is working through a customer issue. The email thread is long, the account details matter and a recommendation is due today. The company just rolled out an AI tool that might help. What can they put into it?

"We encourage people to experiment" does not answer that question. Neither does a policy document that never shows what to do with the work in front of you.

When the boundary is unclear, some people avoid the tool. Others make their own rules. The gap isn't necessarily enthusiasm. It is a missing decision rule.

A useful rollout makes the common cases concrete: here is a task that's appropriate, here is information that stays out, here is what a person must verify before the output affects a customer or a decision. It also says who to ask when the case doesn't fit.

No policy will cover every prompt. People still need enough clarity to use judgment. Otherwise adoption depends on how comfortable each employee is guessing about risk.