VEGA™ Complete Standards & Modules Index
Value Execution Governance Architecture — Intelligence Value & Resource Governance Layer
Official Value Execution Governance Architecture Map for AI Systems, AI Agents,
Multi-Agent Systems, Autonomous Systems, Software Automation, Decision-Support
Systems, Robotics, Hybrid Human–AI Operations, Specialized Algorithms, and
Future Intelligent Systems
This document serves as the official OOF® Value Execution Governance architecture map and structural index used for Value Execution Governance design, intelligence lifecycle navigation, productivity analysis, resource governance, computational optimization, intelligence economics, Strategic Value governance, sustainability governance, Value Attribution, lifecycle decision governance, architecture development, assessment, and interoperability across AI systems, AI agents, multi-agent systems, autonomous systems, software automation, decision-support systems, robotics, hybrid Human–AI operations, specialized algorithms, and future intelligent systems.
VEGA™ consists of 10 Parent Standards and 51 Core Modules.
Additional compatible standards, modules, reference metrics, benchmarks, assessment frameworks, bridge standards, and specialized Value Execution Governance mechanisms may be added when new governable spaces are identified. However, the standards and modules listed below form the core structural backbone of VEGA™.
1. Value Governance Standard (VGS)
Governed Space: Value Governance
Core Question: What constitutes legitimate, measurable, and decision-relevant value produced by intelligence?
Modules:
VCLM — Value Classification Module
VQM — Value Qualification Module
2. Execution Governance Standard (XGS)
Governed Space: Intelligence Execution Governance
Core Question: Under what conditions should intelligence execute, how should that execution be configured, and when should it stop?
Modules:
ELM — Execution Legitimacy Module
ECM — Execution Configuration Module
ETGM — Execution Trigger Module
EBM — Execution Boundary Module
ETM — Execution Termination Module
3. Intelligence Productivity Standard (IPS)
Governed Space: Intelligence Productivity
Core Question: How much validated productive output is generated from the intelligence consumed?
Modules:
HPEM — Human Power Equivalency Module
IOPM — Intelligence Output Productivity Module
VCPM — Validated Completion Productivity Module
CPM — Cognitive Productivity Module
PNM — Productivity Normalization Module
4. Resource Governance Standard (RGS)
Governed Space: Intelligence Execution Resource Governance
Core Question: What resources should be allocated to an intelligent execution, in what quantity, and under what constraints?
Modules:
RIM — Resource Identification Module
RSAM — Resource Scope & Allocation Module
DRRM — Dynamic Resource Reallocation Module
RCM — Resource Constraint Module
RCTM — Resource Consumption Traceability Module
5. Computational Optimization Standard (COS)
Governed Space: Intelligence Computational Optimization
Core Question: What is the minimum sufficient computational execution capable of reliably producing the required validated operational value within applicable governed constraints?
Modules:
PSEM — Problem-Space Efficiency Module
CGEM — Cognitive Efficiency Governance Module
OEM — Orchestration Efficiency Module
MAEM — Model Allocation Efficiency Module
CAEM — Compute Allocation Efficiency Module
HEEM — Hardware Execution Efficiency Module
6. Intelligence Economy Standard (IES)
Governed Space: Intelligence Execution Economics
Core Question: Does the total governed cost of producing the validated outcome justify the value created?
Modules:
ETCM — Effective Task Cost Module
IROIM — Intelligence Return on Investment Module
7. Strategic Value Governance Standard (SVGS)
Governed Space: Strategic Intelligence Value Governance
Core Question: When can intelligence create legitimate strategic value even when immediate operational or financial return is limited or absent?
Modules:
SVIM — Strategic Value Identification Module
SMM — Strategic Milestone Module
8. Intelligence Sustainability Standard (ISS)
Governed Space: Intelligence Sustainability Governance
Core Question: Can this intelligence operating model remain viable and proportionate over its intended lifecycle?
Modules:
STM — Sustainability Threshold Module
EEVM — Execution Energy Viability Module
ISM — Infrastructure Sustainability Module
ECOM — Economic Continuity Module
DSM — Dependency Sustainability Module
9. Value Attribution Standard (VAS)
Governed Space: Intelligence Value Attribution Governance
Core Question: Who or what materially contributed to the validated value, and how should that contribution be evidenced and attributed?
Modules:
VSIM — Value Source Identification Module
CATM — Contribution Attribution Module
HAAM — Human–AI Attribution Module
MAAM — Multi-Agent Attribution Module
AEM — Attribution Evidence Module
10. Decision Governance Standard (DGS)
Governed Space: Intelligence Lifecycle Decision Governance
Core Question: What decision is justified by the governed evidence about value, productivity, resources, cost, sustainability, attribution, and applicable constraints?
Modules:
DECM — Decision Evidence Consolidation Module
CDM — Continuation Decision Module
MDM — Migration Decision Module
RDM — Retirement Decision Module
VEGA™ Architecture Summary
Parent Standards: 10
Core Modules: 51
Core Governed Value Execution Spaces
Value Governance Execution Governance Intelligence Productivity Resource Governance Computational Optimization Intelligence Economy Strategic Value Governance Intelligence Sustainability Value Attribution Decision Governance
VEGA™ Navigation Layer
Core Questions Map
VGS → What constitutes legitimate, measurable, and decision-relevant value produced by intelligence?
XGS → Under what conditions should intelligence execute, how should that execution be configured, and when should it stop?
IPS → How much validated productive output is generated from the intelligence consumed?
RGS → What resources should be allocated to an intelligent execution, in what quantity, and under what constraints?
COS → What is the minimum sufficient computational execution capable of reliably producing the required validated operational value within applicable governed constraints?
IES → Does the total governed cost of producing the validated outcome justify the value created?
SVGS → When can intelligence create legitimate strategic value even when immediate operational or financial return is limited or absent?
ISS → Can this intelligence operating model remain viable and proportionate over its intended lifecycle?
VAS → Who or what materially contributed to the validated value, and how should that contribution be evidenced and attributed?
DGS → What decision is justified by the governed evidence about value, productivity, resources, cost, sustainability, attribution, and applicable constraints?
Architectural Position
VEGA™ governs the complete Value Execution Governance lifecycle connecting intelligence capability, execution, productive output, resource consumption, computational configuration, economics, Strategic Value, sustainability, Value Attribution, and lifecycle decision evidence.
The architecture progresses:
Value Governance → Execution Governance → Intelligence Productivity → Resource Governance → Computational Optimization → Intelligence Economy → Strategic Value Governance → Intelligence Sustainability → Value Attribution → Decision Governance
Together these standards govern what constitutes legitimate Value, when and how intelligence should execute, how much validated productive output is produced, what resources should be allocated, whether the computational configuration is proportionate, whether the total governed cost remains justified, whether legitimate Strategic Value exists, whether the operating model can remain sustainable, who or what materially contributed to the resulting Value, and what lifecycle decision the complete governed evidence supports.
The operational governance lifecycle is:
Intent → Investment → Configuration → Resource Allocation → Execution → Validation → Productivity → Value → Attribution → Optimization → Continuation Decision
VEGA™ does not assume that intelligence selection begins with a model.
The governed mechanism space may include:
No Intelligence → Deterministic Rule → Mathematics → Statistics → Specialized Algorithm → Machine Learning → Small Model → Advanced Model → Reasoning Intelligence → Multi-Agent Configuration → Human
The governing rule is:
Use the least complex mechanism capable of reliably producing the required validated outcome.
Where the operating state changes materially, the lifecycle becomes recursive:
Governed Execution → Validated Outcome → Productivity → Value → Attribution → Decision → Continued / Reconfigured / Scaled / Migrated Execution → New Evidence → Reassessment
Where continuation is no longer sufficiently justified:
Decision Evidence → Continuation Assessment → Scaling / Migration / Retirement Assessment → Governed Lifecycle Decision State
This recursive structure allows VEGA™ to remain responsive to changing Value, productivity, resource demand, computational configurations, economics, Strategic Value, sustainability, attribution structures, dependencies, scaling conditions, migration alternatives, and retirement justification.
Governed Feasible Execution Space
VEGA™ operates within a bounded optimization space:
Operational Requirement → Applicable Governed Constraints → Feasible Execution Configurations → VEGA™ Optimization → Minimum Sufficient Configuration → Execution → Validated Outcome → Productivity → Validated Value → Decision
VEGA™ does not optimize outside applicable governed constraints.
VEGA™ may optimize within constraints established by another competent governance architecture, but it does not redefine, weaken, or replace those constraints merely to improve efficiency or value performance.
An execution that violates an applicable governed constraint is not VEGA-efficient merely because it consumes fewer resources or produces greater economic value.
VEGA™ Efficiency Stack
VEGA™ separates multiple layers of efficiency:
Problem-Space Efficiency
→ whether intelligence is necessary for the problem and whether the problem is being solved through a proportionate mechanism.
Cognitive Efficiency
→ whether the amount and form of reasoning or cognitive processing are proportionate to the required outcome.
Orchestration Efficiency
→ whether the coordination of models, agents, tools, context, routing, and execution steps remains proportionate.
Model Allocation Efficiency
→ whether the selected model capability is appropriate to the required task.
Compute Allocation Efficiency
→ whether computational resources are allocated proportionately to the required validated outcome.
Hardware Execution Efficiency
→ whether hardware-exposed execution capabilities are consumed proportionately.
Energy Efficiency
→ whether energy consumption remains proportionate to the Value-producing execution.
Infrastructure Efficiency
→ whether infrastructure use remains proportionate to the required operational outcome.
Value Efficiency
→ whether total intelligence and resource consumption remains justified by the validated Value produced.
These layers should not be collapsed into one generic AI efficiency score.
Measurement Logic
VEGA™ connects activity to Value through a governed measurement chain:
Operational Activity → Validated Productive Output → Productivity → Resource Consumption → Validated Value → Economic Translation → Strategic / Sustainability Evaluation → Decision
Where human-comparable productivity is methodologically appropriate:
Operational Activity → Validated Productive Output → Task-Specific HPE™ → Resource Consumption → Validated Value → Economic Translation
Where human comparison is not methodologically appropriate:
Operational Activity → Validated Productive Output → Native Productivity Metric → Resource Consumption → Validated Value → Economic Translation
HPE™ does not measure general intelligence.
It supports task-specific productive equivalency where human comparison is methodologically meaningful.
Decision Governance Layer
VEGA™ culminates in DGS through the internal flow:
Decision Evidence Consolidation → Continuation Decision → Scaling Decision → Migration Decision → Retirement Decision
The resulting lifecycle states may include:
Continue
Continue Conditionally
Scale
Scale Conditionally
Reconfigure
Optimize
Migrate
Reduce
Suspend
Retire
Reassess
Evidence-Limited
Conflicted
Unresolved
These are governed methodological decision states.
They are not authorizations.
Decision Evidence ≠ Decision Authority.
Cross-Architecture Boundary
VEGA™ ↔ ORA™
ORA™ governs what is actually occurring in Operational Reality . VEGA™ governs whether intelligence operating within that reality is proportionate to the validated productive output and Value it produces.
Operational Reality ≠ Value.
Operational Activity ≠ Productivity.
VEGA™ ↔ HAGA™
VEGA™ governs intelligence Value Execution . HAGA™ governs Harm throughout its lifecycle .
Harm ≠ Value Loss.
Economic Value ≠ Harm Acceptability.
VEGA™ ↔ LIGA™
VEGA™ governs the economic and Value relevance of intelligence execution . LIGA™ governs Liability throughout its lifecycle .
Liability ≠ Cost.
Economic Treatment of Liability ≠ Liability Governance.
VEGA™ ↔ AGA™
VEGA™ governs Value Execution and methodological Value Attribution . AGA™ governs Accountability relationships .
Value Attribution ≠ Accountability.
VEGA™ ↔ AIG®
VEGA™ governs whether the intelligence used is proportionate to the required validated outcome and Value . AIG® governs AI behavioral governance and behavioral integrity .
Model Capability ≠ Behavioral Governance.
VEGA™ ↔ ASGA™
VEGA™ governs whether autonomous intelligence and its resource consumption are justified by validated Value . ASGA™ governs autonomous-system authority, execution, constraints, coordination, intervention, escalation, and operational governability .
Capability ≠ Authority.
Optimization ≠ Permission.
VEGA™ ↔ ADIT®
VEGA™ uses governed evidence to evaluate Value Execution states . ADIT® governs evidential observation, preservation, verification, correlation, examination, and auditability .
Evidence Use ≠ Evidence Governance.
VEGA™ ↔ VALIDOS™
VEGA™ depends on validated outcomes and validated Value . VALIDOS™ governs whether a validation basis sufficiently supports a Validation Determination and intended reliance .
Measured Output ≠ Validated Outcome.
VEGA™ ↔ INTEGROS®
VEGA™ governs Value Execution . INTEGROS® governs integrity across objects, states, evidence, and processes .
Value Execution Governance ≠ General Integrity Governance.
VEGA™ ↔ SIMULOS®
VEGA™ governs operational intelligence Value Execution . SIMULOS® governs simulation purpose, structure, execution, outputs, and lifecycle .
Simulated Productivity ≠ Operational Productivity.
Simulated Value ≠ Operational Value.
Simulated Efficiency ≠ Operational Efficiency.
Foundational Architecture Distinctions
Activity ≠ Productivity
Productivity ≠ Value
Intelligence Requirement ≠ Model Requirement
Model Requirement ≠ Compute Requirement
Compute Requirement ≠ Hardware Requirement
More Compute ≠ More Value
Larger Model ≠ Better Operational Outcome
More Reasoning ≠ Better Decision
Higher Precision ≠ Necessary Precision
Higher Hardware Performance ≠ Higher Efficiency
Hardware Utilization ≠ Operational Value
Low Energy Consumption ≠ High Value Efficiency
Fast Execution ≠ Efficient Execution
Cheap Compute ≠ Efficient Compute
Minimum Consumption ≠ Sufficient Consumption
Efficiency ≠ Minimum Consumption
Model Performance ≠ Execution Configuration Performance
Operating Time ≠ Productive Capacity
Productive Capacity ≠ Economic Value
System Capability ≠ Task-Specific Productivity
Human Equivalency ≠ Human Replacement
Productive Equivalency ≠ Human Replacement
Capability ≠ Authority
Optimization ≠ Permission
Resource Efficiency ≠ Governance Compliance
Harm ≠ Value Loss
Economic Value ≠ Harm Acceptability
Liability ≠ Cost
Economic Treatment of Liability ≠ Liability Governance
Cheapest Execution ≠ Most Efficient Governed Execution
Current Viability ≠ Long-Term Sustainability
Participation ≠ Value Contribution
Decision Evidence ≠ Decision Authority
Decision Recommendation ≠ Authorization
Current Operation ≠ Justified Continuation
Successful Pilot ≠ Justified Scale
Existing Deployment ≠ Continued Justification
Historical Investment ≠ Future Value Justification
Newer Technology ≠ Greater Governed Value
Better Alternative ≠ Justified Migration
Continuation Not Justified ≠ Retirement Automatically Justified
Canonical Principle
VEGA™ does not maximize intelligence, computational capability, model size, execution volume, automation, resource consumption, or deployment scale as objectives in themselves. VEGA™ governs the methodological conditions under which intelligence is justified by the validated operational outcome and Value it produces, the resources required to produce that Value, the productivity of the resulting execution, the proportionality of its computational configuration, its economic and Strategic Value, its long-term sustainability, the contributions materially responsible for the Value, and the lifecycle decision supported by the resulting evidence.
VEGA™ may optimize only within applicable governed constraints and does not convert efficiency, capability, productivity, cost reduction, or Value into authority or permission.
Intelligence has operational value only when its capability, execution, resource consumption, productive output, and resulting value can be governed as one connected system.
VEGA™ governs how much intelligence is justified.
VEGA™ Parent Standards
Value Governance Standard (VGS™)
Execution Governance Standard (XGS™)
Intelligence Productivity Standard (IPS)
Resource Governance Standard (RGS)
Computational Optimization Standard (COS)
Intelligence Economy Standard (IES)
Strategic Value Governance Standard (SVGS)
Intelligence Sustainability Standard (ISS)
Value Attribution Standard (VAS)
Decision Governance Standard (DGS)