The G-Series AI Governance Evidence Readiness Programme is a structured IGSB programme supporting organisations in the organisation, review and classification of AI governance evidence relating to oversight, accountability, traceability and control.
It brings together the G-Series Governance Framework, the Governance Evidence Protocol, evidence structuring tools and readiness review pathways to help organisations consider whether AI governance arrangements can be evidenced in practice.
The Programme has been developed to help organisations consider whether AI governance arrangements are supported by evidence that can be organised, reviewed and classified in a structured way.
It is designed to support evidence-led review of AI governance oversight, accountable ownership, operational visibility, decision traceability, control arrangements, third-party dependencies and review status.
The Programme does not replace legal advice, audit, assurance, certification, regulatory assessment or organisational responsibility for governance. It provides a structured route for considering whether AI governance arrangements can be evidenced in practice.
AI governance is increasingly judged not only by whether policies, committees or risk statements exist, but by whether oversight, accountability, traceability and control can be evidenced in practice.
Many organisations are adopting AI-enabled systems, vendor platforms and automated tools without a consistent way to organise the governance evidence that sits around those systems.
The Programme has been developed to support a structured approach to AI governance evidence, helping organisations consider what evidence exists, where evidence is incomplete, and how submitted information may be mapped to the G-Series Governance Framework.
Existing legal, regulatory, standards, assurance and internal governance frameworks remain important. The G-Series AI Governance Evidence Readiness Programme is designed to sit alongside those frameworks by focusing on what can be evidenced.
The Programme brings together a set of G-Series components that support structured consideration of AI governance evidence.
Defines the governance expectations relating to oversight, accountability, traceability, control and organisational governance maturity.
Provides the evidence-structuring methodology for organising, mapping and classifying submitted governance evidence.
Supports the structured handling of submitted governance evidence, including organisation, mapping, review status and traceability.
Provides a structured evidence record for a specific AI-enabled system, vendor platform, internal AI use case or operational technology environment.
Provides a limited written observation route for considering whether submitted information evidences selected G3 Technology & AI Governance expectations.
The Programme is designed to support a structured route from initial evidence organisation through to written observation or readiness review activity.
Define the AI-enabled system, vendor platform, internal AI use case or operational technology environment being considered.
Collect and structure relevant evidence relating to oversight, accountable ownership, policies, controls, monitoring, escalation and review.
Consider how submitted information relates to the G-Series Governance Framework and relevant G3 Technology & AI Governance expectations.
Apply controlled evidence classification language, including not evidenced, partially evidenced, or evidenced within submitted information.
Where appropriate, submitted information may support a G3 Readiness Snapshot, written observation, pre-assessment or assessment pathway activity.
The Programme is intended for organisations that need to understand whether AI governance arrangements are supported by clear, structured and reviewable evidence.
It may support organisations using AI-enabled systems, automated tools, vendor platforms, third-party technology, internal AI use cases or operational systems where oversight, accountability, traceability and control need to be evidenced.
The Programme may be relevant to boards, senior management teams, governance functions, risk and compliance teams, technology leaders, procurement teams, assurance functions and organisations preparing for AI governance review activity.
The Programme is designed to sit alongside existing legal, regulatory, standards, assurance, risk and internal governance frameworks.
It does not replace frameworks such as ISO standards, regulatory expectations, governance codes, audit activity, legal advice or internal assurance processes.
Its purpose is to support structured consideration of the evidence that demonstrates how AI governance oversight, accountability, traceability and control operate in practice.
Existing frameworks show what should exist. The G-Series helps assess what can be evidenced.
The Programme may support a range of evidence-led outputs depending on the scope of review, the information submitted and the pathway selected.
Possible outputs may include a structured Governance Evidence Passport, evidence classification, written observation, G3 Readiness Snapshot, pre-assessment activity or assessment pathway preparation.
Any output issued by IGSB is limited to the information submitted and the defined scope of review. It does not constitute legal advice, audit opinion, assurance statement, certification, regulatory approval or confirmation of compliance.
Organisations remain responsible for their own governance arrangements, legal obligations, risk management, assurance activity and decision-making.
Organisations wishing to understand how the G-Series AI Governance Evidence Readiness Programme may support AI governance evidence organisation, evidence classification, written observation or readiness review activity may contact IGSB in writing.
All initial correspondence is conducted in writing.
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