Make AI decisions you can defend, and that are
genuinely good for learning
Two audiences. The same bar:
AI that's defensible and genuinely good for learning
EGAI provides independent, expert-grounded guidance for AI in Australian education and training. We help the people adopting AI and the people building it meet the same bar: AI that is safe, defensible, and genuinely good for learning.
Tech teams building or selling systems and AI into Australian education & training
You can build the product. The harder problem is that your AI has to clear two bars at once. It has to be defensible inside one of the most complex regulatory environments in the world, and it has to be genuinely good for learning.
Engineering talent alone gets you neither.
Buyers and regulators have stopped taking "plausible-looking" on trust. If your AI can't show it reasons from real regulatory and learning expertise, it stalls in due diligence, or it gets adopted and quietly harms learners, taking your credibility with it.
To sell into this sector with confidence, your AI has to reason from good practice rather than imitate it, and you have to be able to prove it.
We can help you with that.
Universities, TAFEs, RTOs, and L&D teams adopting AI
AI is already in your teaching, assessment and admin, and you're accountable for every bit of it. The trouble is that most of it is sold to you by suppliers with limited regulatory grounding, limited research basis, and no accountability for what happens to your learners when the product gets it wrong.
That leaves you holding the risk: lower completions, reputational damage, lost income, and in the worst case your registration and the certifications you've issued. "It came from a vendor" is not a defence.
To adopt AI with confidence, you need a clear standard for what trustworthy looks like in this sector, so the tools you bring in are both lawful and genuinely good for learning, not just convincing on the surface.
We can help you with that.
The Problem
Australian education and training operates within one of the most complex regulatory environments in the world spanning nine jurisdictions, multiple standards and contractual frameworks, and significant cultural and community obligations. Yet the AI and technology products being sold into this sector are generally built by suppliers with limited regulatory expertise, limited research basis, and typically no accountability for what happens to learners when their products get it wrong.
The result is AI that speeds up bad practice. Providers don't know who to trust. Educators skip the steps that matter. And when learners pay the price, so does the organisation through lower completions, reputational damage, lost income and potentially cancellation of registration and certifications issued.
There is a long history in Australian VET of providers being caught by poor products and practices from suppliers. AI is accelerating that risk significantly.
Responsible AI in this sector requires more than good intentions. It requires regulatory grounding, evidence-based practice, and genuine accountability.
Expert-Grounded AI is the solution (EGAI)
Expert-Grounded AI (EGAI) is an independent initiative that brings together regulatory expertise, evidence-based learning design research, and cultural and community obligations. Encoding domain expertise directly into AI architecture means that AI doesn’t just reference good practice, it reasons from it, procedurally, every time.
EGAI works across both sides of the equation: the tech solutions being built, and the education providers implementing them.
Who is this for
Anyone needing to operationalise expert practice into AI workflows for consistent, defensible, transparent, quality assured outcomes.
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Tech solution providers operating in Australian VET, higher education, and workplace training who want their AI to be genuinely trustworthy (and to prove it).
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Education providers and Learning & Development teams who need to navigate the AI landscape with confidence, knowing the tools they adopt meet the standard their learners and regulators expect.
Participants in the EGAI initiative commit to implementing AI in ways that are responsible, transparent, evidence-informed and centred on quality educational and organisational outcomes.