A consultant is advising a sales team that uses AI-generated email drafting suggestions in Dynamics 365 Sales to speed up outreach. A seller reports that a recent AI-drafted email to a prospect included a claim about product pricing that was outdated by several months. What is the most appropriate process control the consultant should recommend to prevent this from reaching customers again?
Select an answer to reveal the explanation.
Short Explanation
An AI draft is only as accurate as the information it is pulling from, so if pricing hasn't been updated in the system, the assistant will happily write a confident, polished sentence with a number that is flat out wrong. The fix is not to throw the whole feature away, because most of what it drafts is probably fine, and it is not to exile it to internal notes where it can't actually help with the task it was meant for. It is also not about making emails shorter, since a short sentence can be just as wrong as a long one. What actually closes the gap is two things working together: a person reading over the draft before it goes out, catching anything stale, and someone keeping the source data itself current so the AI has less chance to get it wrong in the first place. Review plus clean data is what prevents this from happening again.
Full Explanation
The correct answer is C. AI drafting tools generate content based on available data and language patterns, so they can surface outdated or incorrect details when the underlying source data, such as pricing, has not been kept current; the appropriate control is a human review step before sending combined with keeping source data accurate, which addresses both the immediate risk and its root cause. Option A is incorrect because disabling the feature entirely discards its efficiency benefits for all correct drafts to guard against a data-currency problem that has a more targeted fix. Option B is incorrect because restricting AI drafts to internal notes only removes the productivity benefit for the exact use case the team wanted, external outreach, rather than fixing why the content was wrong. Option D is incorrect because shortening emails does not address factual accuracy; a two-sentence email can still contain the same outdated pricing claim, so length is unrelated to the actual defect. Pairing mandatory human review with accurate, current source data directly targets both the immediate safeguard and the underlying cause of the error.