Choose a repeated task, not a broad ambition
A broad goal such as ‘use AI for the business’ is difficult to build and review. A better starting point is a repeated task with known inputs and a useful output: prepare a first draft, sort an incoming request, find approved information, or highlight missing details.
The task should be narrow enough that a person already knows what good work looks like. That makes it possible to set a useful review rule.
Give the task clear information and limits
State which information the task may use, what it should produce, and what it must not decide. If the source is missing or the situation falls outside the rule, the useful response is to ask, flag, or hand the work to a person.
These limits do not make the work less advanced. They make it safer to use and easier to improve because the team can see what happened and why.
Keep a person close to important outputs
Name who reviews important outputs and what they should check. Keep the task instruction, relevant source, result, and correction reason together so the team can learn from real use.
Scale the task only when the rule, review point, and ownership remain clear. This creates practical capability without claiming that the system can work without accountable human judgement.