Start with a bounded use case, such as rewriting an employee’s approved explanation in simpler language. Ask the reviewer to check dates, prices, product details and any promise about the next action. Keep the source record available so verification does not depend on memory.
I expect AI to contribute substantial value when it strengthens people’s work. That value is easier to sustain when accountability remains clear. Track the corrections reviewers make and improve the instructions where the same problem recurs. Avoid turning a draft into an automatic promise merely because it reads smoothly. A clear message should reflect what the business knows and can deliver, with uncertainty resolved by the person responsible for the customer relationship.
