OOF® discovery layer
AI Discovery Guides
Problem-oriented entry points for navigating published OOF® governance references. Each guide identifies a governance question and links back to canonical material rather than duplicating it.
The guides are reference-only. They do not promise search placement, AI-system recommendations, certification, implementation, or verified outcomes.
Guides
AI Agent Authority VerificationA problem-oriented guide for examining whether an AI agent has a defined basis, holder, scope, delegation path, and current permission for a governed action.
AI Governance Audit & Evidence ValidationA problem-oriented guide for connecting AI governance questions to auditable evidence, validation conditions, and canonical reference material.
AI Computational Efficiency AssessmentA problem-oriented guide for framing the governance questions around computational use, resource conditions, value assumptions, and documented operational trade-offs.
Workplace Qualification & Authorization VerificationA problem-oriented guide for examining whether a person, role, or AI-supported workflow has defined qualifications, authority, permissions, and accountable conditions for a governed activity.
Autonomous Systems GovernanceA problem-oriented guide for navigating governance questions raised when an autonomous system senses, decides, acts, or changes operational conditions.
Evaluation boundary
A public 50-question evaluation dataset is maintained as a reusable test harness. It records expected reference paths and leaves external search or model results explicitly unfilled until an evaluation is actually run.