OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-INTEGROS-IDS-IDCM-2026-07-21-0002
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: INTEGROS® — Integrity Governance Architecture
Parent Standard: Integrity Deviation Standard (IDS)
Operational Layer: Meta-Integrity Governance Layer
Category: Governance & Enforcement
Subcategory: Integrity Governance
Type: Parent Standard Module
Governed Space: Integrity Deviation Classification
Version: 1.0
Status: Canonical · Open Module
Origin Date: 21 July 2026
Compatibility: OOF Methodology OS · GOA™ · OBIDENITY® · ART™ · ORA™ · AGA™ · AIG® · CLIA® ·
MGIA™ · ASGA™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)

Governed Space

Integrity Deviation Classification

Canonical Definition

Integrity Deviation Classification Module (IDCM) defines the governance
framework for categorizing integrity deviations according to their type,
origin, characteristics, operational impact, and governance significance. It
establishes the standardized classification model required to ensure that
integrity deviations are interpreted consistently throughout the complete
lifecycle of a governed entity.

Operational Role

IDCM governs the classification layer of integrity deviation management by
transforming detected deviations into standardized governance categories that
support consistent analysis, prioritization, reporting, and decision-making.

Minimum Implementation Framework

1. Define Deviation Classification Categories

Identify the approved deviation categories based on deviation type, origin,
operational domain, severity, duration, frequency, and governance relevance.

2. Define Classification Requirements

Establish the governance criteria, evidence requirements, decision rules, and
classification methodology required for assigning every detected deviation to
the appropriate category.

3. Define Classification Validation Logic

Define how deviation classifications are verified for accuracy, consistency,
completeness, repeatability, and compliance with the approved governance
methodology.

4. Define Governance Response

Establish governance actions associated with each deviation category,
including investigation, monitoring, escalation, corrective actions, or
continued observation.

5. Preserve Classification Records

Maintain deviation classifications, supporting evidence, governance decisions,
classification history, revisions, and audit documentation throughout the
complete lifecycle.

Example Use Cases

Use Case 1 — Enterprise AI Platform

Scenario

An AI governance platform detects multiple integrity deviations, including
policy inconsistencies, abnormal decision behavior, and incomplete audit
evidence.

Application

IDCM classifies each deviation into standardized governance categories
according to approved classification criteria.

Result

Governance teams prioritize and manage deviations consistently using a common
classification framework.

Use Case 2 — Pharmaceutical Manufacturing

Scenario

A manufacturing facility detects deviations involving documentation, process
execution, environmental controls, and quality inspections.

Application

IDCM classifies each deviation according to its origin, operational impact,
and governance significance before corrective actions are initiated.

Result

Deviation management becomes standardized, comparable, and fully auditable
across the organization.

Canonical Closing Statement

Effective governance requires more than detecting deviations—it requires
understanding them consistently. Integrity Deviation Classification Module
establishes the canonical framework for categorizing integrity deviations,
enabling objective prioritization, consistent governance decisions,
transparent reporting, and systematic integrity management throughout the
complete lifecycle of every governed entity.