Machine-Readable Behavioural Compliance Evidence for AI Systems: A Specification Profiling Framework

Existing methods for evaluating AI behaviour conflate personality measurement with specification compliance. This paper presents the Specification Profiling Framework (SPF), a specification-verification method that produces machine-readable evidence of whether an AI system's observable output conforms to an explicit behavioural specification. SPF evaluates systems across eight behavioural constraints using a two-turn protocol that isolates specification effects from baseline behaviour. Methodology validation with four commercial AI systems reveals significant per-system variation: compliance ranges from 0/8 to 6/8 constraints. A specification reversal anomaly (D8 DomainStrictness) demonstrates that multi-dimensional separated assessment surfaces structural failures invisible to scalar scoring. All evidence artefacts are structured (JSON), reproducible, and mapped to EU AI Act conformity assessment requirements (Annex A).