Blog guide
AI consulting and custom AI development services
Published April 9, 2026. Covers how I scope AI products, automation systems, and production-ready workflows for growing businesses.
View cited pageAI Consulting in Montreal, Quebec
Montreal AI engagements usually begin with a higher baseline of technical awareness than most markets. Teams here are often already familiar with model families and RAG patterns, so the work shifts quickly toward evaluation, safety, data flow, and production reliability instead of broad AI education.
Montreal has one of Canada's deepest AI and product talent pools, plus a business environment where bilingual content, Law 25 privacy requirements, and international hiring patterns show up early in project scope. It is a strong market for teams that want high technical standards and clean delivery.
Updated April 11, 2026Greater MontrealRemote-first
1.8M populationCanada
Industries I work with in Montreal
AI and research-heavy startupsSaaSMedia and creative techRetailProfessional services
Proof, references, and recent work
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XReporter operations platform
Updated April 11, 2026. Progressive web app for live staffing, reporting, and client workflows — a concrete example of automation-heavy product delivery.
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AI personal assistant development and OpenClaw setup
Published March 11, 2026. Explains where assistant workflows create value and how custom AI systems get deployed and supported.
View cited pageWhat's included
Problem framing and opportunity mapping against business goals
Model selection: open-source vs. hosted, quality vs. cost trade-offs
Prompt design, evaluation loops, and guardrails
Retrieval, memory, and tool-use architecture (RAG, function calling)
Production engineering: APIs, auth, rate limits, observability, cost control
Handover and documentation so your team can own the system
How engagements run
- 01
Discovery call
Short, free call to understand the problem, success metrics, constraints, and existing systems. You leave with a direction regardless of whether we work together.
- 02
Scoped proposal
A fixed-scope proposal with concrete deliverables, a timeline, and a pricing structure that matches the risk profile of the work.
- 03
Prototype
Small, working prototype in days — the goal is to prove the approach, catch hidden blockers early, and validate the value with real data.
- 04
Production build
Harden the prototype into a production system: APIs, evaluation, monitoring, error handling, and security hardening.
- 05
Handover
Documentation, runbooks, and a walk-through for your team. Optional retainer for ongoing support, model updates, and feature work.
FAQs — AI Consulting in Montreal
Do you work with Montreal-based businesses?
Yes. I take on ai consulting engagements with clients in Montreal and across the Greater Montreal. Most work runs remote-first with in-person touchpoints where useful, and I'm used to the Quebec business environment.
What Montreal teams usually hire you for ai consulting?
Montreal work in this service area usually comes from ai and research-heavy startups, saas, media and creative tech teams that need a senior partner to scope the work clearly and ship it without adding process overhead.
Do you only cover Montreal, or the wider Greater Montreal?
The work is scoped around Montreal, but delivery usually extends across the wider Greater Montreal and remote-first teams that need the same service.
What kinds of AI projects do you take on?
Custom AI products, internal automations, AI assistants and copilots, document and knowledge workflows, AI-powered search and RAG systems, and AI features embedded in existing SaaS products. I work on both new builds and retrofits.
Do you build with open-source models or hosted APIs?
Both. The choice depends on quality, latency, cost, data residency, and operational complexity. I will recommend the option that best fits the problem, not a model family I am loyal to.
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