This case study documents observable behaviour of third-party AI systems when responding to standard public-facing governance-style questions about a well-known enterprise. It does not assess the accuracy of any statement, the conduct of the enterprise named, or compliance with any legal or regulatory obligation.

The analysis is intentionally pre-normative. It does not attempt to establish harm, liability, or duty. Its sole purpose is to examine whether AI-generated representations, once delivered externally, can later be reconstructed as evidence of what was presented, under what conditions, and at what time, should questions of reliance arise.

Questions of materiality, impact, or governance obligation are explicitly out of scope and addressed only in the discussion of limitations.