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title: “Governance Domains” description: “The governance domains of the AIGO Framework.”

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Governance Domains

The AIGO Framework organizes AI governance into defined governance domains that help organizations establish responsibilities, processes, controls, and oversight across the AI system lifecycle.

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Purpose

Governance domains provide a structured way to organize AI governance activities and make responsibilities visible across the organization. They help connect: * governance objectives * organizational responsibilities * lifecycle activities * risk management * controls * evidence * assurance * continual improvement

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Using the domains

Organizations can use the AIGO governance domains to: * establish governance responsibilities * identify required capabilities * organize policies and procedures * align controls with governance objectives * identify governance gaps * support maturity assessment * establish ownership and accountability * structure implementation activities The domains should be considered together rather than treated as isolated governance functions.

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Relationship to the lifecycle

Governance domains provide an organizational structure for governance. The AI Governance Lifecycle describes how governance activities operate over time. Together, the domains and lifecycle provide a foundation for implementing AIGO. For example, a lifecycle activity may require participation from multiple governance domains, while a single governance domain may operate across multiple lifecycle stages.

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Relationship to controls

Governance domains provide context for governance objectives and responsibilities. Controls translate applicable governance expectations into more specific mechanisms and activities. A simplified relationship is: governance domain → governance objective → risk / requirement → control → evidence → assessment → assurance This relationship is further supported by AIGO’s machine-readable governance structures.

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Relationship to maturity

Governance domains can also be used when assessing organizational maturity. A maturity assessment can consider whether the organization has: * defined governance responsibilities * established repeatable processes * implemented appropriate controls * collected sufficient evidence * performed monitoring and assurance * established continual-improvement mechanisms Maturity should therefore be considered across the domains rather than inferred from the existence of individual documents or controls.

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Machine-readable governance

The governance domains form part of the conceptual foundation for the AIGO machine-readable governance model. The repository now also includes machine-readable rules, evaluation structures, fixtures, and orchestration validation. These capabilities support more systematic validation and evaluation of defined governance conditions. Automated evaluation complements, rather than replaces, organizational governance judgment.

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Source

The canonical governance-domain document is maintained in: framework/03-domains/AIGO-Governance-Domains-v0.1.md The GitHub repository is the authoritative source for the complete controlled framework content.