INTERNATIONAL GOVERNANCE STANDARDS BOARD
The International Governance Standards Board - IGSB - develops independent governance standards, evidence methodologies and controlled written evidence review routes to support clearer oversight, accountability and traceability in AI-enabled environments.
The International Governance Standards Board maintains the G-Series Governance Framework and conducts fixed-scope documentary evidence review of AI governance arrangements within one defined system, workflow or bounded deployment context.
Written correspondence only · Documentary evidence review · Defined scope
IGSB does not provide legal advice, audit assurance, certification, confirmation of regulatory compliance, technical model validation, cyber-security testing or deployment approval.
Governance frameworks describe the controls and responsibilities organisations should have in place. The more difficult question is whether those arrangements can be demonstrated through documentary evidence, accountable decisions, oversight records and traceable review.
IGSB examines the gap between stated governance arrangements and what can be evidenced within a defined AI-enabled system or operational context.
IGSB currently offers one purchasable route: the Defined-System AI Governance Evidence Gap Map. It is a fixed-scope written review of documentary records for a single AI-enabled system, workflow or bounded deployment context.
Not every enquiry proceeds through every stage.
IGSB reviews a written enquiry to establish whether the matter falls within the G-Series Governance Framework and whether a single defined system, workflow or bounded deployment context can be identified.
IGSB confirms the defined system, the scope boundary and the core records required. Scope is fixed at one system, workflow or bounded deployment context and up to 20 core records.
A written record of, for each governance question in scope, whether the submitted documents evidence the arrangement. One consolidated written clarification round. Target delivery within ten working days of complete evidence receipt.
Route stages are determined by scope and evidence position. Progression is not automatic and does not constitute certification, assurance or confirmation of regulatory compliance.
IGSB outputs are written, evidence-led and limited to submitted information and defined scope. IGSB does not provide certification, audit assurance, legal advice, regulatory approval, confirmation of compliance, technical model validation, cyber-security testing, deployment approval or implementation consultancy.
DOCUMENTARY GOVERNANCE EVIDENCE
IGSB examines whether governance arrangements for a defined AI-enabled system or operational context are supported by clear, attributable and traceable documentary evidence.
The review considers evidence relating to accountability and oversight, documented decisions and traceability, and the controls used to monitor, change, escalate or correct the defined system or use case.
Findings are limited to submitted information and the agreed scope. IGSB does not test technical performance, provide legal advice, confirm regulatory compliance, issue certification, validate models, test cyber-security or approve deployment.
REFERENCED GLOBAL FRAMEWORKS
The G-Series Governance Framework and associated evidence methodologies are designed to operate alongside existing legal, regulatory, standards, assurance and internal governance arrangements.
A unified governance model defining how organisations design, implement and evidence responsible AI and organisational integrity.
STEP 1
Identify the organisation, AI-enabled system, vendor platform, internal use case or operational technology environment being considered.
STEP 2
Organise documentary evidence relating to ownership, oversight, intended use, controls, monitoring, escalation, traceability and review status.
STEP 3
Use controlled statuses to record whether each governance question in scope is Supported, Partially Supported, Not Evidenced, Not Submitted, Not Applicable or Outside Scope.
STEP 4
IGSB determines whether the matter should remain at intake, proceed to a written evidence request, or proceed to a Defined-System AI Governance Evidence Gap Map.
The IGSB AI Governance Evidence Route provides a controlled written route for considering governance evidence relating to one defined AI-enabled system, vendor platform, internal AI use case or operational technology environment.
Where appropriate, IGSB requests defined documentary evidence relating to the agreed scope.
A scope-bound written record of the evidence position for each governance question within the defined scope, based on the documentary records submitted.
The route comprises a written enquiry, a defined scope and evidence request, and a Defined-System AI Governance Evidence Gap Map. Any finding is limited to submitted information and the defined scope. Progression is determined by IGSB following written intake and review of the evidence position. Completion of one stage does not guarantee progression to another.
Organisations seeking to understand whether governance arrangements are supported by clear, traceable and reviewable evidence may begin with the IGSB AI Governance Evidence Route.
IGSB determines whether an enquiry is suitable for the route following written intake and scope review. The route consists of a written enquiry, a defined scope and evidence request, and a Defined-System AI Governance Evidence Gap Map.
Standard fee £6,500. One AI-enabled system, workflow or bounded deployment context, and up to 20 core records.
THE G-SERIES GOVERNANCE STANDARDS
The G1, G2 and G3 Standards form an integrated governance framework spanning board oversight, institutional controls and AI-enabled decision-making.
The G-Series may be considered as a unified framework or by defined scope. Its present practical application is evidence-led and is designed to sit alongside existing legal, regulatory, standards and internal governance arrangements.
Provides a structured basis for considering how board oversight, accountability, independence and decision responsibility are evidenced within a defined governance scope.
Provides a structured basis for considering how institutional governance, leadership accountability, internal controls and cross-functional oversight are evidenced within a defined governance scope.
Provides a structured basis for considering how technology and AI governance, accountable ownership, traceability, monitoring and control are evidenced within a defined governance scope.