Classification Review Module (CRM)
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: CLA™ — Classification Architecture
Parent Standard: Classification Validation Standard (CVS)
Operational Layer: Classification Validation Governance Layer
Category: Governance & Classification
Subcategory: Classification Governance
Type: Parent Standard Module
Governed Space: Classification Review
Version: 1.0
Status: Canonical · Open Module
Origin Date: 4 August 2026
Compatibility: OOF Methodology OS · GOA™ · OBIDENITY® · INTEGROS® ·
ORA™ · AGA™ · AIG® · CLIA® ·
MGIA™ · ASGA™ · RIS™
AI-Readable: Yes
Authority: OOF®
Protection: MIP® — Methodological Intellectual Property
Canonical Language: English (UCL)
Minimum Implementation Framework
1. Define Review RequirementsEstablish review objectives, governance requirements, evaluation
criteria, review frequency, responsible authorities, and expected
outcomes.
2. Define Review Methodology
Develop standardized procedures for reviewing classification
decisions, evaluating governance effectiveness, documenting
observations, identifying improvement opportunities, and reporting
review results.
3. Define Review Validation Logic
Verify that classification decisions remain accurate,
evidence-based, governance-compliant, methodologically consistent,
operationally relevant, and capable of continuous improvement.
4. Define Governance Response
Establish procedures for review findings, classification
improvements, governance deficiencies, reassessment requirements,
corrective actions, reclassification, and continuous enhancement
initiatives.
5. Preserve Review Records
Maintain review reports, governance decisions, improvement actions,
validation history, approvals, timestamps, lessons learned, and
complete audit trails throughout the classification lifecycle.
Use Case 1 — Autonomous AI Governance
ScenarioAn organization performs periodic reviews of AI-generated
classifications used in autonomous operational decision- making.
Application
Classification Review Module governs structured evaluation of
classification methodology, governance performance, review findings,
and opportunities for continuous improvement.
Result
Classification quality continuously evolves while remaining
accurate, transparent, consistent, and operationally trustworthy.
Use Case 2 — Regulatory Classification Oversight
ScenarioA regulatory authority performs periodic reviews of classification
practices across multiple regulated organizations.
Application
Classification Review Module governs systematic assessment of
classification quality, governance effectiveness, review outcomes,
and improvement initiatives.
Result
Classification governance remains consistently effective,
continuously improved, and aligned with long-term governance
objectives.