AI consultant in Montreal: automate, build, deploy
As an AI consultant in Montreal, I don't give talks about AI — I build it. That means AI automation of your processes, custom AI agents, Claude API integration and MCP server development — from a developer active since 1996 and in AI since late 2024.
Your tools don't talk to each other, and your team repeats the same tasks.
Most businesses lose hours every week on repetitive tasks, copy-paste between apps, and tools that don't communicate. Bolting a chatbot on top fixes none of it. My work starts the other way around: I look at which task costs you the most, and how AI can run it end to end, wired into your real systems.
It's a good fit if you're a Montreal or Quebec business that wants to automate a concrete process, build a custom AI agent, or graft AI onto existing software — and you want a system shipped, not a proof of concept that goes nowhere.
What an AI consultant in Montreal builds: automation, agents, MCP, coding.
Four families of systems built with AI.
AI automation of your processes
AI automation replaces the manual steps: extraction, drafting, sorting, follow-ups, syncing between apps. Every flow is measured in hours recovered.
Custom AI agents
I develop AI agents — and multi-agent systems — that reason, use your tools and complete a whole task, wired into your data.
MCP server development
MCP server development exposes your tools, databases and APIs to AI cleanly, with permissions — so the AI actually acts, not just chats.
AI coding
AI coding lets me ship faster: applications, integrations and custom tools. If your project needs a website or web app, I build it with AI — that's a sub-capability of AI coding, not a standalone design service.
Want to be cited by AI rather than build it? That's generative engine optimization (GEO/AEO): making your business citable by ChatGPT, Perplexity and Google AI Overviews.
AI development: LLM apps, Claude API, MCP servers.
Useful AI consulting doesn't end in one more subscription: it ends in development wired to your reality. Here's what I build, and why now is the moment to do it — before your competitors do.
LLM application development
I design LLM apps — search, drafting, analysis, support — grounded in your documents and business rules, not generic answers.
Claude API integration
Claude API integration adds an AI capability to your existing app without rewriting it — one entry point, guardrails, your architecture preserved. Built on the Claude API.
Agents, MCP and automation
I build AI agents and multi-agent systems, connected to your tools through MCP servers, with end-to-end AI automation. Prompt engineering and context engineering are what separate a demo from a reliable system.
Prompt engineering and context engineering
Every system is framed by prompt engineering and context engineering: that's what makes AI reliable on your data, in your business language.
| Build | What it does |
|---|---|
| AI content engine: bilingual, 15,000-city batch capacity, QA and export in parallel, 436,561 lines, 31,637 tests | Content generation at scale, tested end to end. |
| JSON-LD SEO/GEO plugin: 19 schema generators, 72-bot awareness, replaces Yoast/Rank Math | Automatic structured data for search and AI engines. |
| GBP reviews plugin: Places API, 6 layouts, embeds on static HTML | Google reviews displayed on any site. |
| Invoicing platform: Word to one-click, email delivery, Google Drive archive | Automated invoicing, from document to archive. |
| Cost-estimate calculator: real-time CAD, PDF, CRM push, 5-destination deploy, Playwright + PHPUnit tested | Real-time quotes, pushed to the CRM. |
Systems shipped, backed by a verifiable track record.
| Capability | What you get |
|---|---|
| AI automation | Hours recovered every week on your repetitive tasks. |
| AI agents | An agent that completes a whole task, wired to your tools. |
| MCP servers | Your data and software reachable by AI, with permissions. |
| AI coding | Custom applications and integrations, shipped faster. |
| Proof | Figure |
|---|---|
| Web developer | Since 1996 |
| In artificial intelligence | Since late 2024 |
| Revenue generated (all projects) | $2.5B |
| Web pages migrated (2024) | 225,200 |
Three strengths to automate and develop with AI.
I understand the result.
BBA Marketing, HEC Montréal, and an agency career. I automate for a business outcome, not for the technology's sake.
I build it myself.
Developer since 1996. LLM apps, AI agents, MCP servers, Claude API integration: I code the systems; I don't subcontract them.
I think like an owner.
Co-founder of two companies, $2.5B in revenue generated. An AI project has to pay off, not just impress.
What should your next AI system do?
One point of contact.
I set the strategy and put it into practice. You work directly with the person responsible for the work.
Let's talk about your project →To get started
- The task
- The manual work you want to simplify.
- Your tools
- The software and data the system needs to connect.
- The expected result
- What the system needs to accomplish in practice.
Website development can be part of an AI build when the project requires it; it is not offered as a standalone service.
Your questions about AI projects.
How do I choose an AI consultant in Montreal?
Look at what they have actually shipped, not their slide decks. Ask to see systems running in production, and ask who wrote the code and who stays accountable after launch. Check that they start from your tools and one measurable task, and that you own the code. At Sogalpes the same person sets the strategy and builds the system, so there is no handoff between an adviser and a development team.
Which part of my business should I hand to AI first?
The repetitive task that eats the most hours each week — usually data retyped between apps, documents sorted or drafted by hand, or requests that wait because nobody has time. Pick one, measure what it costs today, and build a first system for that task alone. The measured result decides what comes next.
What is custom AI agent development?
An AI agent is a program that reasons, uses tools and completes a whole task without step-by-step supervision. Custom AI agent development means building those agents — and multi-agent systems — wired to your data and software through the Claude API and MCP servers. The agent does the work; you stay in control.
What is MCP server development and why does it matter?
MCP (Model Context Protocol) is the standard that lets an AI model call your tools and read your data safely. MCP server development exposes your CRM, database or API to AI — cleanly, with permissions. It is what turns a chatbot into an assistant that actually acts.
Who owns the code you deliver?
You own the code developed and delivered for your project. Existing third-party software and services remain subject to their own licences and terms; we identify those dependencies when defining the project.
How do you integrate the Claude API into an existing app?
I graft the Claude API integration onto your current app without rewriting it: one entry point, prompt and context engineering tuned to your domain, and the guardrails you need. You add an AI capability to your product while keeping your architecture.
Let's automate your business with AI.
Reply within 48 hours. A quick question? Call me at 438 228-0827, or email info@sogalpes.com.