Australia has a framework
for responsible AI.
You just have to use it.
The Australian Government has done the work.The Guidance for AI Adoption, the Voluntary AI Safety Standard, the AI Ethics Principles, the DTA Policy — the frameworks exist, and they are good. The job inside an organisation is harder: translating them into governance that actually holds when AI lands in the building.
Voluntary guidance is becoming
mandatory practice.
For two years, Australian AI governance was a conversation. Voluntary standards, ethics principles, framework consultations. Most organisations watched.
That conversation is ending. From 15 June 2026, Commonwealth agencies must run AI Impact Assessments, complete foundational training, and appoint Chief AI Officers. From 10 December 2026, every organisation in scope of the Privacy Act must disclose, in its privacy policy, where it uses AI to make substantially automated decisions about people. The Australian Consumer Law penalty for misleading AI claims now sits at $100 million per contravention, and the ACCC has named AI-washing an enforcement priority.
None of these dates were a surprise. They are the predictable end of the consultation period. The organisations that prepared early will find them straightforward. The organisations that did not will discover that AI governance — like privacy, like cyber, like WHS — is not a project. It is a permanent operating capability.
Six layers of Australian AI governance,
working together.
AI governance in Australia is not a single document. It is a layered system — strategic guidance, control standards, ethical principles, government policy, international alignment, and existing law applied to AI. Each layer answers a different question. Together they describe what good looks like.
Three deadlines,
already running.
Most of the Australian AI governance work is still voluntary. These three obligations are not — and they affect different organisations differently. If you are not certain which apply to you, that is the conversation to have first.
Clarity in Complexity
A field guide to AI governance in Australia — and the work of making the frameworks operational.
- Seven layers of Australian AI governance, mapped
- The three obligations already running in 2026
- A five-phase engagement model you can adapt
Most consultants will read you the framework.
I have run the kind of business it was written for.
Before Contxtyfy, I co-founded Canngea and ran it as Managing Director: a licensed medicinal cannabis manufacturer and distributor I built from the ground up inside one of Australia’s most heavily regulated industries.
We navigated TGA licensing, built pharmaceutical-grade manufacturing systems, and managed the operational complexity of a supply chain that could not afford mistakes. Compliance was not a slide deck. It was the licence to operate.
That experience is the lens I bring to AI governance. AI6, VAISS, the DTA Policy, ISO/IEC 42001 — they describe the same kind of system I lived inside at Canngea: named accountability, documented controls, risk registers that are actually used, vendor obligations that hold, and an audit trail that survives external scrutiny. None of that is theory to me.
What I know that most consultants don’t: governance documents are easy to write and hard to land. A policy that staff don’t follow, a register that nobody updates, a risk assessment that lives in a folder — these are worse than nothing, because they create the illusion of control. Real governance is operational. The job is not to write the policy. The job is to make the policy true.
A methodology grounded
in named sources.
Every recommendation we make traces to an authoritative reference — Australian or international. We do not give advice that we cannot ground. The five engagement phases below map directly to the six AI6 essential practices, the ten VAISS guardrails, and the legal obligations that apply to your organisation.
Discovery and scoping
Stakeholder interviews. AI footprint mapping — including the systems nobody talks about. Jurisdictional and legal profile. A baseline maturity score that reflects the real state of the building, not the aspirational version.
Governance foundation
The infrastructure that makes everything else durable. AI Use Policy, the people who own it, the AI System Register that tracks what is actually in use, supply chain accountability, and the training plan that keeps it current.
Risk and impact
Per-system risk assessments. AI Impact Assessments for high-risk systems, aligned with the DTA's 12-section tool. A consolidated risk register that connects to your existing GRC framework — not a parallel document that nobody opens.
Implementation and controls
Vendor evaluation. Testing standards. Human oversight design. Contestability for ADM systems. Contract provisions that hold. Change management — because governance you announce by email is governance that does not happen.
Assurance and sustained governance
The cycle that keeps governance current. Monitoring, incident management, audit programme, regulatory change tracking, board reporting. The work that converts governance from a project into a permanent operating capability.
Governance you can
actually defend.
A Contxtyfy engagement does not end with a slide deck. You leave with a working set of governance artefacts — AI Use Policy, AI System Register, AI Risk Register, AI Impact Assessments for your high-risk systems, vendor evaluation reports, an incident management process, and a board reporting cadence — every one of them grounded in a named Australian framework and ready to stand up to a regulator, a board, or a procurement question.
And because the regulatory landscape is moving — VAISS v2 in consultation, the NSW Digital Work Systems Act commencement pending, OAIC ADM guidance arriving through 2026 — the work includes the mechanism to keep your governance current after we leave. That is the difference between a project and a capability.
If you are working out where AI fits, what it will cost your people,
and how to move without breaking what already works —
That is the conversation we are built for. A discovery call is exactly what it sounds like: a two-way conversation to find out if there is a fit. No pitch deck, no obligation.