I help leadership teams and businesses work out what AI is worth implementing, what isn't, and why. It's about outcomes, not tools.
“Genuinely practical and immediately useful. It cut through the noise and showed real, actionable ways to integrate AI into everyday work.”
It used to be how do we build it. Then it became what should we build. Now the honest question is should we build it at all. The scarce skill isn't building any more, it's choosing. These four principles are how I choose, and everything I teach hangs off them.
As building gets cheap, choosing what to build becomes the scarce skill. Keep a ranked, valued backlog of the problems that actually matter, and always work the top one.
Start from the outcome. You don't need to see great to begin. You need to know what good looks like. Build good, and great reveals itself.
When something's off, improve the thing that produced it, not the one bad result. Then every future result gets better instead of just this one.
Build the system that improves itself, driven by an honest measure that can fail you. Grant it autonomy only as it earns your trust against the stakes.
One real problem, carried end to end. This is the spine of the Diploma, of every session I run, and of the decisions Syntriq AI makes for its clients.
Keynotes, conference sessions, and briefings for boards and leadership teams. Not a tour of the tools. A clear-eyed account of what AI changes about how a business decides, and what it costs to get that wrong.
I'm the trainer for the 11287NAT Diploma of Artificial Intelligence, delivered with my RTO partner Training Worx Australia (RTO 52508). AQF Level 5. A real qualification on the national register, not a certificate of attendance.
I'm co-founder of Syntriq AI, where the method meets a real P&L and a real deadline. It's the reason any of this is worth listening to: these aren't positions I read about, they're decisions I've had to live with.
No hype, no doom, no jargon, and no tour of this month's software. These are the arguments I make most often, and each one is shaped to your room before I set foot in it.
AI made building cheap, so the hard question climbed the chain: how do we build it, then what should we build, then should we build it at all. The scarce skill isn't building any more. It's choosing. I show a room where the real work went.
You're being sold a company rebuilt as self-improving AI loops with the humans at the edge. The loop is real, and it has its place. But every working example lives where the world answers in seconds and the score is honest. Most of your business isn't that. Here's where the loop can't go, and who holds the lock.
The beginner move is tool-first: let's build an agent, let's do a ChatGPT thing. That's grabbing the vehicle before you know the destination. Problem, then map, then design, then tool. The tool is the last decision, not the first, and the cheapest answer is often no new build at all.
Most AI rollouts don't fail on the technology. They fail because nobody earned the adoption. The people side is the twin of the build side, and it runs on four things every person is owed at work: what to do, how they're going, how to improve, and what impact they're having.
The judgement came first. The technology is what I point it at.
I'm Matiu. Twenty years in management and operations taught me the thing most AI advice is missing: that the hard part was never the technology. It was knowing which problem was worth the money, what good actually looked like, and whether the people would ever run the thing once it existed.
That's what I work on now. Where AI earns its place in a business, where it doesn't, and why so much of it quietly changes nothing. I'm co-founder of Syntriq AI, where those decisions get made against a real P&L, and I write the method up as I go.
I'm also an accredited Trainer and Assessor, and the trainer for the nationally accredited Diploma of AI. I don't teach tools. I teach the thinking that decides which ones you need.
“We were paying for M365 Copilot but not really using it. In a single call we zeroed in on a repetitive task we do around 300 times a year and built a Copilot module that will save my team serious time in 2026. Fun, efficient and effective. I left confident to keep experimenting.”
“Genuinely practical and immediately useful. It cut through the noise and showed real, actionable ways to integrate AI into everyday work.”
“A rare ability to translate technical complexity into practical applications that genuinely improve business performance.”
“An in-depth look at business systems that work to contain yet fully utilise AI. I went straight home and started implementing some of the things I learned. Matiu's session was awesome.”
“I went in sceptical of another AI training session and came out with three workflows I'd already tested by Friday.”
Syntriq AI is an agency for Australian businesses. We help well-run companies adopt AI intentionally: starting from what the business needs, not from whatever tool is loudest this quarter.
The view we take there is the same one I bring to a stage or a classroom. The real risk isn't missing AI. It's implementing the wrong thing, in the wrong way, and carrying the complexity forever.
We start with how the business actually runs, then work out where AI earns its place. Often the answer is smaller than people expect, and it works.
Designing and integrating AI into the workflows a business already has. Shipped and running, not a slide deck about what could be possible.
Structured programmes so teams use AI consistently and safely, instead of a few enthusiasts quietly doing their own thing.
Still not sure? A 15-minute call with a trainer usually sorts it. No sales pitch.
Book a 15-min call15-minute call. No sales pressure. I'll recommend the right programme, or tell you honestly if I'm not the right fit.
Fifteen minutes with me, not a salesperson. Whether it's an event, the Diploma, or an AI problem at Syntriq AI, I'll point you at the right one, or tell you honestly if I'm not it.
No time pressure. Tell me about your event or where you're at with AI, and I'll come back to you.