Turn AI governance principles into practical policies, controls, templates and working processes your organisation can actually use.
Book ConsultationEffective AI governance depends on more than having a framework or policy. Organisations also need practical tools that help people make decisions, assign accountability, assess risk, approve AI use and maintain evidence of how AI is being governed.
The INTAI AI Governance Toolkit brings together practical governance resources that can be adapted to an organisation’s size, operating model, risk profile and level of AI maturity. It supports implementation through usable policies, templates, registers, assessment tools, decision records, approval workflows, oversight structures and supporting documentation.
The toolkit can be used alongside the INTAI Governance Framework or integrated into an existing governance model, helping organisations move from high-level governance intentions to repeatable, documented and accountable AI governance in practice.
Review existing AI use, governance arrangements, policies, decision rights and controls to understand what is already in place and where practical gaps remain.
Identify the policies, registers, assessment templates, approval processes, decision records and oversight tools needed for your organisation and level of AI risk.
Tailor the toolkit to existing governance structures, business processes, risk appetite, regulatory exposure and the teams responsible for AI decisions.
Integrate governance tools into AI intake, procurement, development, deployment, monitoring and change processes so governance becomes part of how AI decisions are made.
Keep governance records current, review how the toolkit is being used and strengthen controls as AI adoption, organisational needs and external expectations evolve.
Practical governance resources designed to help organisations move from principles and intentions to consistent decisions, documented accountability and effective AI oversight.
Take the AI Governance Assessment™ to understand whether your organisation has the oversight, accountability, decision-making, controls and lifecycle governance needed to manage AI consistently as adoption grows.
Take Assessment Book ConsultationAn AI Governance Toolkit is a practical collection of templates, registers, policies, assessment tools, decision records and governance processes used to put AI governance into day-to-day operation. It helps organisations apply consistent oversight to how AI is proposed, purchased, developed, approved, deployed, monitored and changed.
A governance framework defines how AI should be governed, including principles, responsibilities and the overall governance model. The toolkit provides the practical mechanisms used to operate that framework, such as registers, assessments, approval templates, decision records and control documentation. Organisations can use the INTAI Governance Framework or integrate the toolkit into an established internal framework.
The exact components depend on the organisation, but typically include an AI inventory, ownership records, risk classification, governance assessments, approval workflows, policy templates, decision records, supplier oversight tools, control evidence and monitoring processes. The objective is not to create unnecessary paperwork, but to provide enough structure for important AI decisions to be made consistently and evidenced appropriately.
Yes. The toolkit should complement existing governance rather than create a parallel system wherever possible. Templates and processes can be adapted to existing risk management, procurement, information security, data protection, compliance, model governance and change-management arrangements while introducing AI-specific controls where they are genuinely needed.
Usually, yes. A policy establishes expectations, but it does not by itself determine how AI use cases are identified, assessed, approved, recorded and monitored. The toolkit provides the operational processes and evidence needed to turn policy requirements into repeatable governance activity.
Yes. Effective governance should include AI supplied by third parties, AI features embedded within existing software and external services used by employees. The toolkit can support supplier classification, due diligence, approval, ownership, contractual oversight and ongoing monitoring. More detailed supplier investigations can then be undertaken through dedicated AI Vendor Assessments where required.
Governance should be proportionate to the potential impact and risk of the AI use. Lower-risk activity should follow simpler processes, while higher-impact systems receive greater scrutiny, evidence and approval. A well-designed toolkit creates clear routes through governance instead of requiring every AI system to undergo the same level of review.
It can provide an important foundation by establishing ownership, documented decisions, controls and governance evidence. However, the toolkit does not by itself guarantee compliance with every legal or regulatory requirement. Organisations should map relevant obligations to their specific AI systems, jurisdictions and sectors, and undertake targeted compliance or assurance work where necessary.
Overall ownership should sit with the function or governance body accountable for enterprise AI oversight, but effective use is usually cross-functional. Business owners, technology, data, risk, legal, compliance, procurement, information security and internal audit may all interact with different parts of the toolkit depending on the organisation and the AI system involved.
Start with the AI Governance Assessment™ to understand the strength of your current governance arrangements and identify priority gaps. You can also explore the INTAI Governance Framework to establish the wider governance structure, or work with INTAI to adapt and embed the toolkit around your organisation’s existing processes and risk profile.
Build the practical tools, decision processes and evidence your organisation needs to govern AI consistently without creating unnecessary complexity.
Strengthen the wider governance environment around your toolkit with services covering governance design, policy, risk, third-party oversight and independent assurance.
