Turn framework language into a reviewer-readable evidence position.
The objective is not to reproduce a framework as a static list. It is to identify the current AI system, preserve the evidence supplied, record accepted support and limitations, and expose unresolved dependencies before a procurement or assurance decision.
Questionnaires capture representations
They efficiently collect vendor statements across security, privacy, governance, resilience, and AI-specific topics.
Evidence packages preserve support
A package connects each material answer to a supplied artifact, system boundary, reviewer rationale, limitation, and current package version.
Unsupported answers become visible
Where no adequate artifact exists, the response should remain conditional or not established and enter the Gap Register rather than being treated as confirmed.
Establish what the current evidence can support.
The $3,500 fixed-scope Baseline covers one defined AI system and one review context. No annual license is required.