What is vendor-neutral AI advice?

How to identify non-neutral AI advice

Identifying whether AI advice is vendor-neutral requires looking at the commercial structure of the advisory relationship, not just the adviser’s claim of independence. Several indicators suggest non-neutral advice. A consulting firm that is also a certified implementation partner for Microsoft, Google, or AWS has a financial interest in recommending those platforms — their partnership status often depends on the volume of implementations they deliver. A firm that earns referral fees or commissions from tool vendors is structurally incentivised to recommend those vendors. A firm whose revenue model depends on implementation work has an incentive to recommend complex platforms that require extensive implementation. None of these relationships necessarily produce bad advice, but they create incentives that are not aligned with the client’s interests — and clients deserve to know they exist.

Why structural neutrality matters more than a claim of neutrality

Any advisory firm can claim to be vendor-neutral. Structural neutrality is different: it means there are no commercial relationships with vendors that could shape advice. Acuity AI Advisory has no vendor partnerships, no reseller agreements, no referral arrangements, and no implementation revenue. The business model is advisory fees from clients — which means the only incentive is to produce advice that serves the client’s interests. This is the definition of structural neutrality. When evaluating AI advisors, ask directly: do you have commercial relationships with any AI platform vendors? Do you earn fees or commissions from any AI tool providers? Is any of your revenue dependent on clients purchasing specific platforms? The answers reveal the actual structure of the advisory relationship.