Vectored Conversational AI Testing provides a way to observe emergent behaviour that cannot be captured through static prompt‑based testing. By treating conversation as a dynamic behavioural surface, the method reveals how an AI system adapts, stabilises, or degrades as conversational conditions change. This includes identifying behavioural drift, inconsistencies, boundary‑handling failures, and breakdowns in reasoning or self‑maintenance under load. Vectored Conversational AI Testing is designed to expose real‑time behavioural evidence that supports evaluation, safety analysis, and compliance workflows. It offers a practical framework for assessing how an AI system behaves under real or near‑real conversational conditions, producing evidence that can be used in risk management, behavioural auditing, and system assurance.