Classification Foundation Module (CFM)
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: CLA™ — Classification Architecture
Parent Standard: Classification Foundation Standard (CFS)
Operational Layer: Classification Foundation Governance Layer
Category: AI & Interpretation
Subcategory: Classification Governance
Type: Parent Standard Module
Governed Space: Classification Foundation
Version: 1.0
Status: Canonical · Open Module
Origin Date: 3 August 2026
Compatibility: OOF Methodology OS · GOA™ · OBIDENITY® · INTEGROS® ·
ORA™ · AGA™ · AIG® · CLIA® ·
MGIA™ · ASGA™ · ADIT® · RIS™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)
Minimum Implementation Framework
1. Define Foundation RequirementsEstablish foundational classification principles, governance
objectives, methodological requirements, structural rules,
responsible authorities, and acceptance conditions.
2. Define Foundation Methodology
Develop standardized procedures for establishing, documenting,
reviewing, maintaining, and governing the methodological foundation
supporting all classification activities.
3. Define Foundation Validation Logic
Verify that the classification foundation remains objective,
consistent, reproducible, governance-compliant, methodologically
complete, and suitable for all subsequent classification processes.
4. Define Governance Response
Establish procedures for methodological inconsistencies, governance
exceptions, foundation revisions, corrective actions, continuous
improvement, and revalidation of the classification foundation.
5. Preserve Foundation Records
Maintain foundational principles, governance decisions,
methodological documentation, validation reports, approval history,
revision records, timestamps, and complete governance audit trails
throughout the classification lifecycle.
Use Case 1 — Enterprise AI Classification
ScenarioAn enterprise establishes a unified classification methodology
before deploying AI systems across multiple business units.
Application
Classification Foundation Module governs the establishment of common
methodological principles, governance rules, and foundational
consistency before operational classifications are created.
Result
The organization achieves objective, reproducible, interoperable,
and governance-valid classification across all AI- enabled
operations.
Use Case 2 — National Classification Framework
ScenarioA public authority develops a national classification methodology to
harmonize classifications across multiple government agencies.
Application
Classification Foundation Module governs the creation of common
methodological foundations, governance principles, structural
consistency, and standardized classification rules before
implementation.
Result
Classification becomes consistent, transparent, interoperable,
independently reproducible, and methodologically aligned across the
complete public governance ecosystem.