COOIM — Control Origin Integrity Module
OriginID: OOF-OID-AGA-COOIM-2026-06-14-0036
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Accountability Governance Architecture (AGA™)
Operational Layer: Control Governance Layer
Governed Space: Control Origin Integrity
Category: Governance & Enforcement
Subcategory: Chain of Control Governance
Type: Chain of Control Standard Module
Parent Standard: Chain of Control Standard (CCS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 14 June 2026
Compatibility: OOF Methodology OS · Chain of Control Standard (CCS)
· Authority Governance Standard (AGS) ·
Responsibility Governance Standard (RGS) · Capability Readiness
Governance Standard (CRGS) · INTEGROS® —
Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)
Canonical Definition
Control Origin Integrity Module (COOIM) defines the structuralconditions under which operational control remains attributable to
identifiable, legitimate, traceable, governable, accountable, and
operationally valid control sources throughout the
control lifecycle.
COOIM governs control origin.
The module establishes the integrity conditions required to
determine where operational control originated, who initiated
control, under what authority control was established, and whether
the source of control remained legitimate.
Module Operational Space
COOIM governs:- control origin
- control-source traceability
- operational-control attribution
- control provenance
- control-source legitimacy
- supervision origin
- command-source governance
- control accountability
The module applies wherever governance requires reconstruction
of control origins.
Module Function
The module applies wherever systems must preserve:- identifiable control sources
- traceable control origins
- reconstructable control history
- accountable control assignment
- governance-valid control attribution
- operationally valid control provenance
Its function is to ensure that governance can determine where
operational control originated and who established it.
Minimum Implementation Framework
1. Define the Control Origin ObjectThe organization must define which control environments
require origin governance.
This may include:
- management structures
- contractor environments
- subcontractor chains
- supervisory systems
- industrial operations
- AI governance systems
- autonomous-agent environments
- Human-AI operational systems
2. Define Control Origin Conditions
The system must define the conditions under which control
origin remains valid.
This includes:
- control-source requirements
- attribution requirements
- traceability requirements
- accountability requirements
- legitimacy requirements
- governance-valid origin conditions
3. Define Origin Degradation Detection Logic
The system must define how control-origin failures are identified.
This may include:
- unidentified control sources
- undocumented supervision
- illegitimate control relationships
- hidden command structures
- governance-blind control assignment
- unverifiable control origins
4. Define Operational Response or Governance Logic
The system must define governance logic for control-origin failures.
Governance response may include:
- control review
- source verification
- governance intervention
- control reconstruction
- corrective actions
- control reassessment
- operational invalidation where required
5. Preserve Traceability & Restrict Invalid Conditions
The system must preserve reconstructable traceability of:
- control assignments
- supervision sources
- governance reviews
- validation activities
- intervention procedures
- resulting control states
A control-governance environment must not remain origin-valid if
materially significant control relationships cannot be attributed,
reconstructed, reviewed, validated, or governed.
Use Case 1 — Contractor Environment
ScenarioA worker is formally employed by an agency but receives operational
instructions from a contractor operating at a customer site.
Application
COOIM reconstructs where operational control originated and
identifies the source of actual supervision.
Result
Governance gains visibility into the true origin of
operational control.
Use Case 2 — Human-AI Operational
Environment
ScenarioAn AI agent receives execution instructions through multiple
orchestration layers before performing operational actions.
Application
COOIM reconstructs the origin of control and identifies the source
that initiated operational direction.
Result
Governance gains visibility into control origins across
intelligent operational systems.
Canonical Closing Statement
Control Origin Integrity Module (COOIM) defines the structuralconditions under which operational control remains attributable to
identifiable, legitimate, traceable, governable, accountable, and
operationally valid control sources throughout the
control lifecycle.
Control cannot be governed if its origin cannot be identified.
Control origin integrity therefore becomes a foundational condition
of trustworthy chain-of-control governance.