Two sellers with different security roles open the same opportunity record and see different next-best-action recommendations from Copilot. One seller has full read access to the account's related cases and contracts; the other has a restricted role that hides those tables. A consultant investigating this behavior should explain to the sales manager that:
Select an answer to reveal the explanation.
Short Explanation
Think of two people looking at the same case file, but one of them has pages removed before they get to read it. They are going to draw different conclusions, not because anything is broken, but because they are working from different amounts of information. That is what is happening here: next-best-action builds its suggestions from whatever data the viewing seller is actually allowed to see, so a seller without access to related cases and contracts is going to get different suggestions than a seller who can see all of it. It is not a caching glitch showing someone an old version, and there is no rule that everyone on a team needs matching access before the feature will work at all. It is also not a licensing failure, since both sellers are clearly getting AI-generated suggestions, just different ones. The real explanation is that the feature is doing exactly what it should: respecting each person's access while generating recommendations from what they can actually see.
Full Explanation
The correct answer is A. Next-best-action recommendations are generated based on the data accessible to the seller who is viewing the record, so a seller with a restricted role that hides related cases and contracts will see recommendations built without that context, while a seller with full access sees recommendations informed by it. This is expected, security-respecting behavior rather than a defect. Option B is incorrect because the difference is not a caching artifact; both sellers are seeing current recommendations, just generated from different visible data sets. Option C is incorrect because there is no requirement that all sellers share identical security roles for next-best-action to function; the feature is designed to work correctly across varying role configurations by respecting each user's access. Option D is incorrect because both sellers are actually receiving AI-generated recommendations, which rules out a licensing failure that would typically block the feature outright for one user. The consultant's role here is to correctly diagnose the behavior as security-driven personalization rather than a bug, so the manager does not pursue an unnecessary technical fix.