AIM — Approval Integrity Module
OriginID: OOF-OID-RIS-AIM-2026-06-28-0005
Architecture Ecosystem: Structured Reality Standards™
Foundation Family: OOF® Foundation Standards™
Operational Layer: Runtime Governance Layer
Governed Space: Approval Integrity
Category: Execution & Enforcement
Subcategory: Runtime Governance
Type: Runtime Integrity Standard Module
Parent Standard: Runtime Integrity Standard™ (RIS™)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 28 June 2026
Compatibility: OOF Methodology OS · Runtime Integrity Standard™ (RIS™) · GOA™ · ORA™ · AGA™ · CLIA® · MGIA™ · AIG™ · ASGA™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL™)
Canonical Definition
Approval Integrity Module (AIM) defines the governance conditions underwhich operational approvals remain valid, explicit, authorized,
traceable, verifiable, enforceable, and continuously applicable
throughout the complete execution lifecycle.
AIM governs approval integrity.
The module establishes the methodological conditions required to ensure
that every significant operational action is executed only under
governance-valid approval conditions that remain effective at the exact
moment of execution.
Approval is not permission recorded in history.
Approval is governance confirmed at execution.
AIM governs that confirmation.
Module Operational Space
AIM governs:- approval integrity
- execution approval
- approval authorization
- approval validation
- approval traceability
- approval governance
- approval lifecycle
- approval evidence
The module applies wherever organizations require governance-valid
approval before operational execution.
Module Function
The module applies wherever organizations must preserve:- valid operational approvals
- explicit authorization
- governance-valid execution
- approval traceability
- approval evidence
- reconstructable approval history
Its function is to ensure that every significant operational action
remains independently verifiable as properly approved before and during
execution.
Minimum Implementation Framework
1. Define the Approval ObjectIdentify which operational actions, decisions, processes, or executions
require governance approval.
2. Define Approval Integrity Conditions
The organization shall define:
- approval authority
- approval scope
- approval validity
- execution conditions
- governance evidence
- approval traceability
3. Define Approval Degradation Detection Logic
The governance methodology shall identify:
- missing approvals
- expired approvals
- unauthorized approvals
- approval scope violations
- missing governance evidence
- governance-invalid approval conditions
4. Define Operational Response or Governance Logic
Governance response may include:
- approval validation
- execution suspension
- approval renewal
- governance escalation
- operational reassessment
- approval recovery
5. Preserve Traceability & Restrict Invalid Conditions
The organization shall preserve reconstructable traceability of:
- approval origin
- approving authority
- approval history
- execution linkage
- governance interventions
- resulting operational outcomes
Operational integrity shall not be considered valid if materially
significant approvals cannot be reconstructed, reviewed, verified, or
governed.
Use Case 1 — AI Financial Transaction
Scenario
An AI system initiates a high-value financial transaction requiring
governance approval before execution.
Application
AIM ensures that approval remains valid, explicitly authorized,
continuously verifiable, and directly linked to the executed action.
Result
The organization strengthens governance confidence, reduces operational
risk, and preserves trustworthy execution.
Use Case 2 — Autonomous Industrial Operations
Scenario
An autonomous production system requests authorization to initiate a
high-risk maintenance operation.
Application
AIM verifies that execution proceeds only after governance-valid
approval has been confirmed and remains applicable throughout execution.
Result
The organization improves operational safety, reinforces governance
discipline, and preserves confidence in autonomous decision execution.