About

A small practice. A faceless agency, on purpose.

Applied AI North is a deliberately small applied-AI practice. You won’t find founder bios, head-shots, or a logos-of-companies-you-recognize wall on this site. The work is sensitive, most of it is under NDA, and we’d rather you judge us on how we’d run your engagement than on a list of names we can’t name.

Why this exists

A gap in the market.

The AI services market has two ends and an empty middle. On one end, big consultancies sell fourteen-week discovery phases that conclude in a slide deck and a quote for a second engagement. On the other, freelancers spin up demos that look great until they meet a real Tuesday.

Between them, mid-market businesses with real budgets and real workflows have nowhere to go for one specific, working system built in a sane amount of time — and a team that can actually run it the day we leave. Applied AI North exists to fill that gap. Productized engagements, fixed scope, fixed price, build-and-enable from intro call to handoff.

The faceless framing is intentional. The work is the work. It doesn’t need a face on it to be good, and you don’t need to know whose desk it left from to evaluate whether it earns its rent.


The practice

A small bench. Deep, not wide.

A handful of senior practitioners who have lived inside large enterprise AI rollouts — designing the workflows, building the prompt architectures, training the teams, and watching what actually gets adopted versus what dies in a Slack channel. We brought that experience out of the enterprise and into a practice you can hire for one engagement.

We don’t take work we can’t finish in eight weeks. We don’t subcontract. We don’t hand off after the sales call. The person you meet on the intro call is the person on the build, the workshop, and the thirty-day check-in.

Background
Applied AI in enterprise GTM, presales, and operations. Years of running adoption inside large software companies.
What we do well
Workflow design, prompt architecture, context engineering, human-in-the-loop systems, AI literacy programs.
Tooling
Claude, GPT, Gemini, n8n, Make, LangGraph, pgvector, Supabase, plus whatever’s already on your stack.
Based in
Toronto, ON. Remote-first, on-site in the GTA when the work calls for it.
Available for
Build engagements, enablement programs, advisor retainers, and the occasional workshop.

What we believe

Six things we actually believe.

Not a values page. Things we’d argue for at a dinner table.

01

Adoption beats accuracy.

A 92% accurate system everyone uses beats a 99% accurate system nobody trusts. We optimize for the first one.
02

AI is a tool, not an outcome.

“We’re using AI” is a starting position, not a finish line. The outcome is a measurable change in how work gets done.
03

Small engagements ship better.

Six-week projects with a single owner outperform six-month projects with seven owners. We don’t take work we can’t finish in eight weeks.
04

Sometimes AI is the wrong answer.

If a checklist or a Zapier flow solves the problem, we’ll tell you. The hourly rate is the same.
05

The off-ramp is a feature.

You should be able to replace us with a different vendor on a Monday morning. Our handoff doc is what makes that true.
06

Context beats cleverness.

The quality of an AI system is determined by the quality of the context it sees, not the cleverness of the prompt. We spend most of our build time on the data and the workflow, not the wording.
Where we work

Toronto-based. Remote-first.

Most of our clients are in the GTA and the rest of Ontario, with the occasional engagement elsewhere in Canada or south of the border. Remote-first is the default; on-site shows up when the work genuinely calls for it — usually for kickoff, workshops, and the first round of user shadowing.

How to reach us
hello@appliedainorth.com
A short note about what’s taking too long is enough to start.
Toronto, ON  ·  43.65°N 79.40°W
Replies within one business day. Intro calls within the week.
How we evolved

From build-only to build-and-enable.

The practice exists in its current shape because the obvious version of the work didn’t hold up. Each shift below is a lesson we paid for, not a slogan.

Then

“We’ll build it for you.”

First version of the practice was build-only. Beautiful systems, smart prompts, real production code. Many of them quietly stopped getting used inside six months of handoff.
Lesson

A system without a fluent team is a liability.

The technical work is the easy half. The adoption work — the workshops, the role-specific guides, the named internal owner — is what decides whether the thing earns its rent a year later.
Now

Build and enable. Same engagement.

Every build comes with literacy. Every workshop comes with a working system. The two tracks happen in parallel, on the same calendar, with the same team in the room.
Next

Enablement retainers.

A six-to-twelve-week adoption practice for teams who’ve already shipped something and want it actually used. The cheapest line item with the highest leverage.
Get in touch

A thirty-minute call. We read your brief before we meet.

Tell us what’s taking too long. If it isn’t the right fit, we’ll say so and point you toward someone better.

Book an intro See the work