You know AI could help. What’s missing is knowing where, with which data, and who will set it up so it actually lasts. I’m an independent AI consultant based in Montreal: I look at how your business really runs, find the two or three tasks where AI pays off, and implement them — connected to the tools you already use, with a human in the loop.
It’s not a lack of will. Between a ChatGPT subscription and a process that runs on its own, there is a missing step: connecting AI to your data and to the way you actually work.
A few employees use ChatGPT on their own, but day-to-day operations haven’t moved.
Every vendor pitches their platform “with AI” without ever looking at how you work.
Your data lives in Excel, inboxes and software that doesn’t talk to anything else.
You’re wary of putting customer data into an AI tool because of Quebec’s Law 25.
Nobody in-house has time to run one more project.
I start with your operations, not with technology: where time goes, what it costs, what data already exists. Only then do we pick the tool — sometimes an AI model, sometimes a plain automation, sometimes a small internal app. You deal directly with the person who analyses and builds: no account managers, no jargon. I work in English and French.
Every use case starts with simple math: hours per week × people × hourly rate. No number, no project.
Sensitive data doesn’t go into consumer AI tools without safeguards; hosting, access and settings follow your obligations.
AI prepares, summarises and proposes. Decisions that commit the business stay with your people.
You tell me where your team loses the most time; I tell you whether AI is the right answer — or not.
We list the repetitive tasks, put a dollar figure on each, and pick the one with the best return for the least effort.
No generic demo: the first test runs on your invoices, your emails, your exports. You see right away whether it holds up.
The system plugs into what you already use — Outlook, Excel, QuickBooks, your ERP — depending on available access.
We compare time before and after. Once the first case pays off, we move to the next one at your pace.
An agent reads a request, checks your data and prepares the action — reply, quote, data entry — for approval.
Invoices, purchase orders, price lists: read, checked and keyed in automatically; exceptions go to a person.
The copy-paste between apps, weekly reports and follow-ups — done by the machine, with Make, n8n, Power Automate or code.
When a spreadsheet has become your management system: a real internal tool, built in increments.
Published Canadian rates for AI and automation consulting range from roughly $150 to $350 an hour, but most projects are sold at a fixed price. With me: a free 20-minute review, then fixed-scope sprints from CA$4,500.
In most cases, no. AI connects to your current tools through their APIs, exports or email. We only replace what is genuinely in the way.
We decide together which data the AI can see, where it is processed and who has access. Personal information doesn’t go into consumer tools without safeguards, and every access is documented.
You work directly with the person who analyses your operations and builds the system. No sales layer, no subcontracting, no imposed platform.
Yes. I work in English and French, from Montreal and remotely across Quebec.
Describe the task that costs you the most hours. I’ll reply within 24 hours with an honest first take — whether or not we end up working together.