OOF™ Origin Open Foundation™

Independent Methodological Authority

Architecture Ecosystem: Structured Reality Standards™
Architecture Family: ADIT® — Continuous Audit & Evidence Governance Architecture
Parent Standard: Audit Findings Standard
Operational Layer: Audit Findings Governance Layer
Category: Governance & Enforcement
Subcategory: Audit & Evidence Governance
Type: Parent Standard Module
Governed Space: Finding Classification
Version: 1.0
Status: Canonical · Open Module
Origin Date: 30 July 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)

Governed Space

Finding Classification

Canonical Definition

Finding Classification Module defines the governance framework for classifying
audit findings according to standardized governance criteria, operational
significance, severity, priority, impact, and evidence quality. It establishes
classification methodology, governance controls, validation mechanisms, and
continuous classification assurance necessary to ensure that audit findings
are categorized consistently, objectively, and transparently across all
governed environments.

Operational Role

Finding Classification Module governs the classification layer of audit
findings by ensuring that every identified finding is assigned an objective
and standardized classification before validation, reporting, and
organizational response.

Minimum Implementation Framework

1. Define Classification Framework

Establish classification categories, severity levels, priority criteria,
impact assessment rules, governance thresholds, and responsible authorities.

2. Define Classification Methodology

Develop standardized procedures for evaluating findings according to evidence
quality, operational impact, governance significance, and organizational risk.

3. Define Classification Validation Logic

Verify that assigned classifications are evidence-supported, methodologically
justified, consistent with governance policies, and independently
reproducible.

4. Define Governance Response

Establish procedures for disputed classifications, reclassification requests,
inconsistent assessments, governance exceptions, and corrective actions.

5. Preserve Classification Records

Maintain complete records of classifications, supporting evidence, decision
rationale, governance approvals, timestamps, revisions, and historical changes
throughout the audit lifecycle.

Example Use Cases

Use Case 1 — Autonomous AI Governance

Scenario

An audit identifies multiple governance deviations within an autonomous AI
system.

Application

Finding Classification Module governs the classification of each finding
according to severity, operational impact, governance significance, and
verified supporting evidence.

Result

All findings receive objective, consistent, and evidence-based classifications
that support governance decisions and prioritization.

Use Case 2 — Regulatory Compliance Audit

Scenario

A regulatory audit identifies several compliance deficiencies across a
critical infrastructure operator.

Application

Finding Classification Module governs the standardized categorization of each
deficiency using predefined governance criteria and verified audit evidence.

Result

Audit findings are consistently classified, transparently documented, and
suitable for regulatory reporting and corrective action planning.

Canonical Closing Statement

Finding Classification Module establishes the canonical governance framework
for consistently classifying audit findings. By governing classification
methodology, severity assessment, prioritization, validation, and continuous
classification assurance, the module enables objective audit reporting,
accountable governance, operational transparency, and independent verification
across all operational domains.