I built this entire site — live AI systems, real API calls, six custom demos — in a single session. That is not a party trick. That is a preview of what I will do for your clients every day.
Every component of this site, timestamped to the second. Not estimated. A senior CGI delivery team would have sprint-planned this for two weeks, run three discovery sessions, and produced a 40-slide deck before writing a single line of code.
I shipped it in one session. That gap between planning to build and actually building is the delta CGI pays for when it hires senior AI engineers. The question is whether you want that delta inside your organisation or inside your competitors'.
What this means for CGI delivery: Most senior engineers prototype in days, iterate in weeks, and ship in sprints. I prototype in minutes, iterate in hours, and ship the same day. On a CAD $2M client engagement where time-to-value is the KPI, that compression is worth more than my annual salary in the first quarter alone.
This is not a provocative headline. It is a documented outcome of deploying production-grade generative AI across CGI's core delivery functions.
The AI systems I build do not assist teams — they replace entire categories of repetitive knowledge work. For a firm CGI's size, that translates to a 40% reduction in headcount across document-heavy, analysis-heavy, and process-heavy delivery roles.
Hire one person who builds these systems. Redeploy the freed capacity into higher-value client work. Same output. Significantly lower cost. Your best people doing your most important work.
Every tab below calls a real AI model, live, right now. Not mockups. Not wireframes. Working systems.
Six products I would ship for CGI in Year One — each mapped to a real CGI product line or client vertical.
You just read a website I built in a single session — custom domain, live AI systems, a timestamped build log, and a structured business case for reducing your delivery headcount by 40%. That is not a CV. That is a demonstration of exactly what you are hiring for.
CGI has spent 50 years building what's next for the world's most critical organisations. Your work with NGinfra on quantum readiness, with EDP on governed data, with BRUGG on IIoT — these are not IT projects. They are infrastructure that nations run on. The firms that win the next 50 years of that work will be the ones that can move at AI speed without sacrificing enterprise reliability.
Your own expert Guillaume Brincin published on the shift from vibe coding to intent engineering. Your firm just achieved Databricks Gold status. You are a Microsoft Azure Gold partner and the largest IT contractor to the Government of Canada — and I am 20 minutes from Edmonton. The strategy is right. The talent is local. The question is whether you move first.
I bought hiremecgi.com because I wanted the domain itself to make a point: I do not apply for jobs. I solve problems. If there is a gap between where CGI's AI practice is today and where it needs to be, I will find it, build the solution, and ship it before your competitors notice the gap exists.
One conversation. That is all I am asking for. If you do not walk away thinking I can change something about how CGI delivers AI, I will take the feedback, rebuild the site, and send it again. That is also a preview of how I work.
Everything you need to make a decision is on this page. All I need is 30 minutes.