A software vendor pitches Meridian's leadership on an "AI platform that eliminates the need for data scientists entirely" for the maintenance-manual knowledge assistant. What should the PM caution leadership about?
Select an answer to reveal the explanation.
Short Explanation
"No data scientists needed" is a red flag, not a selling point. Every AI initiative still needs someone who understands the data and the business problem — pilot the claim before you believe the slide.
Full Explanation
Avoiding vendor hype and product mismatches is an explicit CPMAI Task 1 enabler, and this scenario is a canonical example: a vendor claim that a platform removes the need for skilled practitioners entirely should raise immediate skepticism rather than excitement. Even highly automated ML tooling still requires domain expertise to frame the business question correctly, prepare and validate data, and interpret results — none of which a platform can substitute for. The correct PM response is to require a realistic, scoped pilot that tests the vendor's specific claims against Meridian's actual data and use case before any broader commitment. Option A jumps to a cost objection without evaluating the substantive claim at all. Option B is an unfounded assumption — open-source status has no direct bearing on whether this specific claim is trustworthy. Option C is the opposite of sound practice and exactly the kind of premature adoption vendor hype is designed to produce; skipping evaluation because a claim sounds convenient is precisely the failure pattern CPMAI warns against.