From site labour to secure federal builds to the governance of the machines now walking onto the job.
Founder, President & CEO, Aiyarise Intelligence· Senior Project Manager· Construction Operator· AI Governance
I did not arrive at AI from a lab. I arrived from the ground. Site labour first. Then heavy equipment in the Canadian oil sands. Then up through the ranks to running multimillion-dollar commercial contracts as a general contractor.
The portfolio got heavier as it went: multi-phase projects for provincial and federal governments, secure facilities for the Department of National Defence, historic renovations, full-service disaster restoration, and the renovation of the Vancouver Island Regional Correctional Centre while it operated as a maximum security prison. You learn a certain kind of discipline delivering work inside a live max-security facility. Nothing since has felt complicated.
Along the way I added formal business training, a Diploma in General Management from Camosun College, and moved from executing the work to running the operations that execute it. In 2026 I founded Aiyarise Intelligence to bring that operational discipline to the newest trade on site: operational AI for the built world, governed so that firms adopting it come out ahead.
Five disciplines, one career. Each one earned in the field before it was ever written on a business card.
Hands on the tools and the iron. Labour, heavy equipment operation in the oil sands, and the trades-floor fluency that never leaves you.
Multimillion-dollar commercial contracts as a GC. Secure federal facilities, provincial institutions, historic renovation, disaster restoration.
Running the machine that runs the projects. Crews, procurement, documentation velocity, and the seams where systems actually fail.
Putting working AI into real operations: transcript processing, document generation, field-to-office workflows that a superintendent will actually use.
Deciding what the tools are allowed to touch, who checks the output, and who owns the call. Charters, oversight, and accountable adoption.
Every project drowns in its own documentation: daily reports, RFIs, change orders, meeting minutes. The promise of AI on site is not robots pouring concrete. It is the paper handled before the coffee is, and a person still making every call that matters.
Boardrooms, industry associations, and executive workshops across the AEC sector. Plain language, live artifacts on the screen, and the people who own the schedule in the seats. No hype, no doom, just what the tools can do and who stays accountable for them.
Walking a firm's leadership through what a ten-person firm can now do with the output of a hundred-person firm, and what that means for theirs.
Building working marketing strategy live in front of the room. The demo is the argument: this is what the machine does, and here is where a person decides.
The tangible, physical trades will likely be the last automated. That is not a reprieve. It is a window, and it is open now.
Governance is a relationship, not a binder. The retained work happens over tables like this one, one decision at a time.
Speaking, advisory, AI governance for AEC firms, or a straight conversation about how work actually gets delivered. The door is open.
I named my company for my daughter, Aiya. Her name carries the letters of the generation she was born into, and it keeps me honest about why any of this matters.
I have watched good crews get buried by bad systems, and I have watched good systems die because nobody walked them out to the field. The next decade will decide whether AI becomes a tool the built world actually trusts. I intend to be one of the people who makes it trustworthy.
This site is my record of that work, and of the twenty years that came before it. Thanks for reading.
