The G3 Standard applies the IGSB G-Series Governance Framework to technology, data, automated decision-making, and AI-enabled systems. It establishes governance expectations for oversight, accountability, traceability, control, and independent review where digital or AI-enabled systems create material organisational risk.
Financial systems, reporting environments, and assurance processes fall within G3 where technology, data integrity, automation, or AI-enabled decision-making create material governance exposure.
The G3 Standard establishes governance expectations for technology, data, automated decision-making, and AI-enabled systems where those systems create material organisational risk.
It is designed to support evidence-based assessment of how oversight, accountability, traceability, control, and independent review operate in practice across digital and AI-enabled environments.
Financial systems, reporting environments, assurance processes, and other high-impact operational systems may fall within scope where technology, data integrity, automation, or AI-enabled decision-making create governance exposure.
Establishes governance expectations for technology-enabled systems, including clear ownership, accountable roles, system-level oversight, and documented responsibility for material digital or AI-enabled processes.
Defines the assurance architecture required to support confidence in technology and AI governance arrangements, including internal review, audit committee visibility, independent challenge, and documented evidence of control operation.
Requires governance arrangements for monitoring system behaviour, identifying deviation, escalating concerns, and ensuring appropriate human review, intervention, or override where system outputs require challenge.
Establishes expectations for the governance of data assets supporting technology and AI-enabled systems, including confidentiality, integrity, availability, traceability, retention, access controls, and record integrity.
Defines governance requirements for AI-enabled decision systems, including accountability for model use, limitations, validation, monitoring, explainability where required, bias considerations, and material impact review.
Requires governance arrangements that support alignment with applicable legal, regulatory, ethical, and institutional expectations. Includes incident escalation, accountability for governance failures, response procedures, and evidence of post-event review.
G3 Technology & AI Governance may be supported by the G-Series AI Governance Evidence Readiness Programme, which provides a structured route for organising, reviewing and classifying AI governance evidence relating to oversight, accountability, traceability and control.
The Programme connects G3 evidence expectations with the G-Series Governance Evidence Protocol, Governance Evidence Passport, readiness review activity and written observation pathways.
The G-Series AI Governance Evidence Passport may support G3 Technology & AI Governance by providing a structured evidence record for AI-enabled systems, vendor platforms, internal AI use cases and operational technology environments.
It may support evidence organisation, evidence classification, readiness review activity, written observation or G3 Readiness Snapshot preparation.
The full G3 Standard sets out governance requirements for technology, data, automated decision-making, and AI-enabled systems. Access to the complete standard enables organisations to understand the evidence expectations associated with oversight, accountability, traceability, control, assurance, and independent review under the G-Series Governance Framework.
Financial systems, reporting environments, assurance processes, and other high-impact operational systems may fall within scope where technology, data integrity, automation, or AI-enabled decision-making create material governance exposure.
Request Access to the G3 StandardA public overview of the G3 Technology & AI Governance Standard is available as a downloadable PDF.
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