AI Governance Framework
Ready to Establish Practical AI Governance?
An AI Governance Framework establishes the roles, policies, controls and decision processes needed to govern Artificial Intelligence consistently across the organisation. The framework is tailored to the organisation’s maturity, risk profile and operating model, helping leadership define accountability, assess AI initiatives, manage third-party risk and maintain effective oversight as adoption expands.
Why organisations struggle at this stage
Many organisations recognise the need for AI governance but struggle to translate principles, standards and regulatory expectations into practical working arrangements. Generic policies alone rarely define who is accountable, how decisions should be approved or how governance should operate across different business functions.
Without a coordinated framework, responsibilities can remain unclear, controls may be applied inconsistently and leadership may lack sufficient evidence that Artificial Intelligence is being governed effectively. A practical framework creates the structure required to support responsible adoption while enabling innovation.
What the AI Governance Framework Includes
We design and support the implementation of a proportionate AI governance framework aligned with your organisation’s maturity, risk profile, operating model and business objectives.
✓ Define executive accountability, governance roles and decision authority.
✓ Establish AI policies, principles and acceptable-use requirements.
✓ Introduce risk classification, assessment and approval processes.
✓ Define requirements for human oversight, data protection and security.
✓ Strengthen AI procurement and third-party due diligence.
✓ Establish monitoring, incident management and periodic review.
✓ Align governance with recognised standards and applicable requirements.
Typical Outcomes
By the end of the engagement, your organisation will have a clear and practical governance structure that defines responsibilities, establishes proportionate controls and supports the responsible use and scaling of Artificial Intelligence.
📋 Governance Structure
Define ownership, responsibilities and decision authority.
🛡 Policies & Controls
Establish practical rules and proportionate safeguards.
🧭 Risk and Approval Process
Assess AI initiatives consistently before implementation.
✔ Oversight and Monitoring
Maintain visibility, evidence and executive assurance.
This service is ideal if:
✓ Your organisation is ready to formalise its approach to AI governance.
✓ AI responsibilities and decision authority are not clearly defined.
✓ Existing policies do not adequately address Artificial Intelligence.
✓ Different departments are applying inconsistent controls.
✓ Leadership requires greater assurance over AI risk and accountability.
✓ You want governance that supports innovation rather than blocking it.
How the AGP CONTROL Method Applies
The framework engagement typically focuses on Normalise, Train, Roll Out and Lead, establishing governance requirements, building organisational capability, implementing practical controls and maintaining executive oversight.
Ready to Establish Practical AI Governance?
Book a Discovery Call to start with a confidential conversation about your current position, governance priorities and the framework your organisation needs to adopt AI responsibly.