title: “Framework Charter” description: “Purpose, scope, objectives, governance architecture, and structure of the AIGO Framework.”
Framework Charter
The AIGO Framework Charter establishes the purpose, scope, objectives, governance model, and structural foundation of the AIGO Framework.Purpose
AIGO provides a structured framework for governing artificial intelligence systems across their lifecycle. It is intended to support organizations that: * develop AI systems * deploy AI systems * operate AI systems * procure AI systems * oversee AI systems * provide governance or assurance over AI systems The framework connects governance expectations with operational processes, machine-readable representations, evidence, evaluation, and continual improvement.Scope
AIGO addresses AI governance across the AI system lifecycle, including: * governance * roles and accountability * AI system registration * classification * risk management * controls * assessment * approval * change management * incident management * monitoring * assurance * evidence * retirement * continual improvement The framework also provides machine-readable structures and relationships intended to support consistent implementation and validation.Framework architecture
The AIGO architecture can be understood as several connected layers.Governance framework
The foundational governance layer defines: * principles * domains * roles * lifecycle * risk management * controls * maturity * AI system profilesImplementation and guidance
The implementation layer translates governance concepts into practical organizational activities through: * implementation guidance * procedures * templates * examplesMachine-readable governance
The machine-readable layer provides structured representations for governed objects and their relationships. These include AI systems, risks, controls, assessments, approvals, monitoring, incidents, changes, assurance, evidence, management reviews, improvements, retirement, governance, and relationships.Rules and evaluation
The repository also contains a machine-readable governance evaluation architecture. This layer includes: * rule definitions * evaluation semantics * rule validation * evaluation fixtures * evaluation validation * governance evaluation orchestration * orchestration validation This enables governance requirements and conditions to be represented and evaluated in a more systematic and machine-readable manner.Validation
Repository validation provides automated checks across multiple dimensions of the framework, including structural integrity, references, traceability, controls, evidence, rules, evaluation, orchestration, documents, and repository health. Validation results are evidence of repository quality and implementation integrity. They are not, by themselves, evidence of legal compliance, certification, accreditation, or regulatory conformity.External framework relationships
AIGO provides mapping structures for external frameworks and regulatory sources, including: * EU AI Act * ISO/IEC 42001 * NIST AI RMF * cross-framework relationships These mappings are intended to support comparison, traceability, and implementation alignment. They do not replace the authoritative text of external laws, regulations, standards, or regulatory guidance.Framework structure
The AIGO repository currently organizes its principal framework content into: * Charter * Principles * Domains * Roles * Lifecycle * Risk Management * Controls * Maturity * AI System Profiles * Implementation Guidance * Machine-Readable Schemas * Relationships * Rules and Evaluation * External Framework Mappings * Procedures * Templates * Examples * Validation and Repository QualitySource
The complete normative Charter is maintained in the AIGO Framework repository:framework/01-charter/AIGO-Framework-Charter-v0.1.md
The repository is the canonical source for the framework’s normative artifacts, machine-readable structures, validation tooling, and associated implementation materials.