Fractional AI Governance Consultant
Practical AI governance expertise, without the need for a full-time role
AI is moving quickly into everyday business operations, often faster than the governance needed to manage it.
Your organisation may already be using AI across productivity tools, customer services, analytics, decision-making, vendors or business processes. But who is responsible for understanding where AI is being used, assessing the risks, setting appropriate controls and making sure governance keeps pace?
I provide fractional AI governance support to Australian organisations that need experienced, independent AI governance capability without creating a permanent full-time role.
Whether you are establishing AI governance for the first time, responding to increasing AI use across the organisation, or strengthening an existing framework, I can help you put practical and proportionate governance in place.
What is Fractional AI Governance?
Fractional AI governance gives your organisation access to specialist AI governance expertise on an ongoing, part-time basis.
Rather than engaging a consultant to produce a framework and leave, fractional support can help you establish the governance foundations and then continue operating, reviewing and improving them as your organisation's use of AI evolves.
The level of support can scale with your organisation's needs, from periodic advisory support through to a more embedded AI governance role.
The objective is simple: give your organisation access to the governance capability it needs, when it needs it.
When does Fractional AI Governance make sense?
You may not need a full-time Head of AI Governance. But someone still needs to take responsibility for making AI governance work.
Fractional support may be appropriate if your organisation:
is adopting AI but does not yet have a formal AI governance approach
has employees using generative AI tools and needs clearer boundaries and oversight
needs to understand where AI is already being used across the organisation
has an AI policy but needs to turn it into practical processes and controls
needs an AI register, risk classification, or assessment process
is introducing AI through third-party vendors or existing technology platforms
needs independent advice on higher-risk AI use cases
wants to strengthen governance before increasing its use of AI
needs ongoing AI governance expertise but cannot justify a dedicated full-time position.
What I can help you put in place
Fractional AI governance support can be tailored to your organisation's size, maturity, risk profile and use of AI.
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Establish a practical governance framework defining how AI is approved, used, managed and monitored across your organisation. This can include governance principles, decision rights, roles and responsibilities, escalation pathways and oversight arrangements.
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Develop or strengthen policies and supporting standards that translate your organisation's expectations for responsible AI into practical requirements for employees, teams and technology providers.
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Establish an AI register and processes for identifying where AI is being used across your organisation. This can help create visibility over approved tools, AI-enabled systems, business use cases, owners, vendors and associated risks.
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Develop proportionate processes for assessing AI use cases according to their potential impact and risk. Higher-risk applications can receive greater scrutiny while lower-risk uses can move through a simpler governance pathway.
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Define who owns AI risks and decisions. This may include responsibilities across executives, business owners, technology, data, privacy, cyber security, legal, risk and compliance functions.
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Establish expectations for testing and validating AI systems before implementation and throughout their lifecycle. Depending on the use case, this may include considerations such as reliability, privacy, security, transparency, explainability, fairness, human oversight and appropriate use of data.
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Help assess AI capabilities introduced through vendors, software platforms and service providers. This includes understanding how AI is being used, what information it processes, how outputs are generated and monitored, and what governance responsibilities remain with your organisation.
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Define when people need to review, challenge or intervene in AI-supported decisions and establish appropriate accountability for those decisions.
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Develop practical reporting that helps management understand how AI is being used, emerging risks, incidents, control effectiveness and areas requiring attention.
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Integrate AI-related incidents into existing risk, privacy, technology and incident management processes so the organisation knows what to do when AI behaves unexpectedly or causes an unintended outcome.
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Provide an independent governance perspective as new AI tools, vendors and use cases are proposed. Instead of reinventing the governance approach every time something new appears, your organisation develops a repeatable way to make informed decisions about AI.
Governance that is proportionate to your organisation
AI governance does not need to become another layer of unnecessary bureaucracy.
A small organisation experimenting with productivity tools does not require the same governance structure as a highly regulated organisation deploying AI into significant customer or operational decisions.
My approach is based on proportionality.
Governance should reflect what the AI does, the information it uses, who may be affected, the consequences if something goes wrong and the regulatory and operational environment in which your organisation operates.
The goal is not to stop AI adoption.
It is to give your organisation enough visibility, accountability and control to use AI with greater confidence.
From AI policy to operational governance
Many organisations are beginning their AI governance journey by developing an AI policy.
That is an important starting point, but a policy alone does not govern AI.
Organisations also need practical mechanisms for identifying AI, assessing risk, assigning accountability, approving appropriate use cases, managing vendors, monitoring systems and responding when something goes wrong.
I can help bridge the gap between having an AI policy and having AI governance that actually operates within the business.
Why work with me?
I bring together AI governance, privacy, data governance and regulatory risk experience.
This matters because AI governance rarely exists in isolation. AI systems rely on data. They may process personal information. They introduce technology, vendor, operational and regulatory risks. And they require clear accountability across functions that may traditionally have operated separately.
My approach is therefore not to create a standalone AI governance structure that sits beside everything else.
Where possible, I help organisations integrate AI governance into existing risk, privacy, data, technology and corporate governance arrangements. This makes governance easier to operate, easier to explain and more likely to become part of normal business practice.
Flexible support as your AI use evolves
Fractional AI governance can be structured around what your organisation actually needs.
You might initially need more intensive support to establish your framework, policies, AI register and risk assessment processes. Once those foundations are operating, support can shift towards periodic governance reviews, advice on new AI use cases, oversight, reporting and continuous improvement. This gives you access to specialist capability without committing to a permanent AI governance function before your organisation needs one.
Build AI governance before complexity builds around you
You do not need to wait until your organisation has dozens of AI systems or a regulatory problem before establishing governance. If AI is already being used, or your organisation is planning to increase its use of AI, putting practical foundations in place now can make future adoption considerably easier to manage.
Need AI governance expertise, but not a full-time AI governance role?
Let's discuss where your organisation is today, where AI is being used or planned, and what level of governance would be proportionate to your needs.