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 pageFull-Stack & AI Engineer
Toronto founders tend to ask the sharpest AI questions — partly because of the UofT / Vector Institute concentration, partly because many teams have already tried off-the-shelf tooling and hit its limits. Most Toronto AI engagements I take on are the second attempt at a problem, not the first. That means the work starts with what has already been tried, what broke, and what cost more than it should have.
Toronto is Canada's largest tech market — dense with fintech, healthtech, and AI-native startups, and home to a growing base of bootstrapped SaaS founders who hire freelance help instead of building full in-house teams. Most of my Toronto work is remote-first with in-person touchpoints where useful.
Published April 9, 2026. Covers how I scope AI products, automation systems, and production-ready workflows for growing businesses.
View cited pageUpdated April 11, 2026. Progressive web app for live staffing, reporting, and client workflows — a concrete example of automation-heavy product delivery.
View cited pagePublished March 11, 2026. Explains where assistant workflows create value and how custom AI systems get deployed and supported.
View cited pageShort, free call to understand the problem, success metrics, constraints, and existing systems. You leave with a direction regardless of whether we work together.
A fixed-scope proposal with concrete deliverables, a timeline, and a pricing structure that matches the risk profile of the work.
Small, working prototype in days — the goal is to prove the approach, catch hidden blockers early, and validate the value with real data.
Harden the prototype into a production system: APIs, evaluation, monitoring, error handling, and security hardening.
Documentation, runbooks, and a walk-through for your team. Optional retainer for ongoing support, model updates, and feature work.
Yes. I take on ai consulting engagements with clients in Toronto and across the Greater Toronto Area. Most work runs remote-first with in-person touchpoints where useful, and I'm used to the Ontario business environment.
Toronto work in this service area usually comes from fintech, healthtech, saas teams that need a senior partner to scope the work clearly and ship it without adding process overhead.
The work is scoped around Toronto, but delivery usually extends across the wider Greater Toronto Area, including Mississauga, Markham, Brampton and remote-first teams that need the same service.
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.
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.
How Milan helps companies plan, validate, and ship custom AI products, automation systems, and production-ready workflows.
Where AI assistants create real business value, how custom assistant systems are built, and when OpenClaw setup makes sense.
If your team sits outside Toronto but inside the wider Greater Toronto Area, these nearby market pages usually reflect the same buying patterns and delivery constraints.