Strategy, ROI and AI6 governance for the people who have to decide — a clear, jargon-free briefing for executives, directors and boards, with a plan you can act on.
Leaders don’t need to build AI. They need to govern it, fund it wisely, and answer for it.
This briefing gives decision-makers a clear-eyed view of strategy, return, risk and the National AI Centre’s AI6 guidance — the six essential practices that now set the expectation for responsible AI in Australian organisations, and what following them actually looks like in your business.
Half-day to two days, public or in-house. Plain-spoken and vendor-neutral.
You leave with a 90-day action plan written for your organisation, not a generic deck.
The National AI Centre's AI6 practices set the bar Australian organisations are measured against. We cover what following them actually looks like.
You'll learn to size an investment properly and to spot the assumptions doing all the work in someone else's numbers.
Usually it's you. We cover what to ask before approving a deployment and how to document the reasoning so it holds up later.
Movement I · Sessions 01–02OrientWhat the technology does, what it costs, and which claims to discount.
Movement II · Sessions 03–04GovernThe AI6 practices, accountability, and the board’s position.
Movement III · Session 05ActA ninety-day plan written in the room for your organisation.
What AI is and is not, for decision-makersA plain-language account of what the current generation of models does well, where it fails, and which vendor claims to discount. No maths, no hype.
A vendor claim you can now take apart in a meeting.
Strategy and returnWhere AI creates value in an organisation like yours, how to size an investment, and how to recognise a business case built on wishful thinking.
A sized investment case, and the test that would tell you it is wrong.
Governance and the AI6 practicesThe National AI Centre’s six essential practices, what following them looks like in operational terms, and how they sit alongside privacy and record-keeping obligations you already have.
Working familiarity with the AI6 practices and what compliance looks like day to day.
Risk, accountability and the board’s positionWho owns an AI decision, what to ask before approving a deployment, and how to document the reasoning so it stands up later.
The questions to ask before you approve anything, and the record to keep.
Your ninety-day action planWritten in the room, for your organisation: the first three moves, who owns them, and what evidence would tell you to stop.
A ninety-day action plan written for your organisation, not a generic deck.
The session ends with a ninety-day action plan written in the room for your organisation: the first three moves, who owns each one, what they cost, and the evidence that would tell you to stop.
It is not a workshop artefact that goes in a drawer. We write it against your current position — what is already running, what is proposed, and what worries you — so it can go to your board as it stands.
For executives, directors and boards. No technical background is assumed or required.
Runs as a half day, a full day or two days, public or in-house. Before an in-house session we ask for a short brief on your current position — what is already running, what is proposed, and what worries you — so the material is built on your situation rather than a generic one.
Frameworks are great. But understanding what they abstract — the loop, the parsing, the failure modes — is what lets you actually debug and design them under pressure.
Amir founded, funds and directs AI Tech Institute, and still teaches. He holds a PhD and has spent more than twenty years building and leading AI, machine learning and data teams in Australian industry — the kind of work the programs here are drawn from rather than adapted to.
He currently leads asset performance and analytics at Synergy, Western Australia's state-owned electricity generator and retailer. Before that he led GenAI and MLOps program delivery at EY, working on platform modernisation for tier-one Australian banks; served as Chief AI Engineer at Hancock Prospecting, where he built enterprise GenAI platforms for executive decision support, led a Snowflake migration, stood up on-premises NVIDIA H100 infrastructure and Kubernetes clusters for production AI, and built a team of twelve engineers; and spent nearly five years as Tech Lead for ML and Data Science at Woodside Energy.
He has been teaching for twenty-one years. He is an Adjunct Associate Professor at the University of Western Australia, teaching quantitative analysis and decision-making at master's level, and holds Databricks University Alliance Faculty status and the AWS Certified AI Practitioner certification. He has published peer-reviewed research in Exploration Geophysics on machine learning for reservoir characterisation, and writes and records openly about the parts of AI engineering most courses skip — agent loops, termination logic and failure modes.
Cohorts are deliberately small so every piece of work gets reviewed properly and every presentation gets heard in the room. If an intake is full we’ll say so and hold your place for the next one — we won’t quietly oversell a cohort.
See all upcoming dates →The prerequisites for this program are in “Who it’s for” above. Our foundation-level programs and workshops assume none. If you’re unsure, ask on a qualification call — we would rather redirect you than take your money for the wrong cohort.
The commitment for this program is shown in the hero and in “Who it’s for”. Cohort programs run live sessions plus practice between them; workshops are a single block with no homework.
The work you shipped — defended in front of the cohort — and an honest recommendation on your next step. Sometimes that is another cohort with us, sometimes it isn’t; we will tell you which.
No. AI Tech Institute is not a Registered Training Organisation and this is not a nationally accredited qualification. It is professional education, assessed on the work you ship, with a certificate of completion from us. We won’t claim accreditation we don’t have.
Yes — we invoice organisations directly and can supply a scope and outcomes summary for your L&D or capability budget. If three or more people from one team want in, talk to us about a private cohort instead.
Full refund any time before the program starts. Once it has started we can’t refund the place, but we will carry you into a later intake where the circumstances warrant it. Ask us — we’re reasonable.
Thirty minutes with us and you’ll know whether this is your right next step — or which of our programs is. No pitch, no payment, and we will say so if the answer is “not this one”.
