External AI systems now generate decision-relevant descriptions of enterprises on a continuous basis. These descriptions influence purchasing decisions, risk assessments, regulatory understanding, and reputational trust, often before stakeholders engage with any owned or official enterprise channels.
Despite this influence, such representations are typically ephemeral, non-logged, and non-reproducible from the perspective of the enterprise being described. The purpose of this record is not to interpret, assess, or judge AI behaviour, but to document what has been observed, repeatedly and systematically, across models, time windows, and sectors.
This article summarises a consolidated evidentiary record accumulated during a structured research programme and establishes a temporal reference point for subsequent governance discussion. The evidence predates the introduction of any system designed to preserve or govern such records .
Despite this influence, such representations are typically ephemeral, non-logged, and non-reproducible from the perspective of the enterprise being described. The purpose of this record is not to interpret, assess, or judge AI behaviour, but to document what has been observed, repeatedly and systematically, across models, time windows, and sectors.
This article summarises a consolidated evidentiary record accumulated during a structured research programme and establishes a temporal reference point for subsequent governance discussion. The evidence predates the introduction of any system designed to preserve or govern such records .