Run a leaner business with AI — practical systems for founders and SME owners to automate the busywork, sharpen decisions, and do more without hiring.
You don’t need to become a data scientist. You need to know what to hand over.
What you need is a clear view of which tasks to hand over, which tools to trust, and how to wire them into how your business actually runs. This six-week cohort is built for founders and owners, not engineers.
Practical, hype-free, and grounded in what works for a small Australian business today.
You leave with working automations and a clear sense of where AI helps and where it doesn’t.
Quotes, follow-ups, reporting. Low-judgement and repeatable is where AI pays back fastest — not in the interesting parts.
We teach you to tell a durable product from a thin wrapper, so the next pitch is easier to judge than this one.
Australian Consumer Law limits how you describe it to customers. We cover the line plainly, because crossing it is expensive.
Movement I · Weeks 01–02Find the leverageAn honest audit of your week, and a way to judge the tools on offer.
Movement II · Weeks 03–04Build itWorking automations in your own systems, and better decisions on your own numbers.
Movement III · Weeks 05–06Decide and planThe trust line with customers, and a written ninety-day plan.
Where the leverage is in your businessAn honest audit of where time and money go. We find the repeatable, low-judgement work first — that is where AI pays back fastest.
A ranked list of where your week actually goes, and the first thing to hand over.
The tools worth your attentionA vendor-neutral tour of what a small business can actually use today, and how to tell a durable tool from a wrapper that will be gone next quarter.
A way to judge the next tool that gets pitched to you, without a demo.
Automating the busyworkBuilding your first working automations — quotes, follow-ups, reporting, content — wired into the systems you already run.
Automations running in your own business, not in a sandbox.
Better decisions, not just faster outputUsing AI on your own numbers: pricing, cash flow, customer patterns. Where the analysis helps and where it will mislead you.
One decision you re-made using your own numbers, and the reasoning written down.
Customers, marketing and the trust lineWhat AI can do for acquisition and service, and what you must not claim — including the Australian Consumer Law limits on how you describe it.
A clear line on what you can say about AI in your marketing, and what you cannot.
Your ninety-day planYou leave with a written plan: what you automate first, what you leave alone, what it costs, and how you will know whether it worked.
A written ninety-day plan with costs and a measure of success.
In the final fortnight you write the plan you will actually run: which tasks you hand over first, which you deliberately keep, what each change costs, and the measure that will tell you in ninety days whether it worked.
You present it to the cohort and defend the sequencing. A plan with three things you will not do is usually stronger than one with ten you will.
Built for founders and owners, not engineers. No coding is required at any point.
Come with a rough sense of where your week goes and access to the systems you run the business on — email, accounting, CRM, whatever they are. The work is done on your business, so the more real material you bring, the more you leave with.
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”.
