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Corporate AI Training

THE LICENCE
WAS THE
EASY PART.

Your company bought the seats and told everyone to use AI. Nobody taught them how it thinks. We teach our nine-lesson course, The Brain and the Desk, live for whole departments — how AI assistants actually work, taught inside the tools and policies you already have.

What we see in most teams

Access is not ability.

  1. 01

    Prompts typed like search queries. Three words in, a paragraph out, and the paragraph gets rewritten by hand.

  2. 02

    Nobody is sure what is safe to paste. So people either paste everything or use the tool for nothing that matters.

  3. 03

    One person on the team is good at it and cannot explain why. Their results do not transfer.

  4. 04

    Usage plateaus at summarising emails. The tool could draft the board memo, check the spreadsheet logic, and review the contract clause. It is never asked.

The curriculum

Nine lessons. Three parts.

The training follows The Brain and the Desk, our written course on how AI assistants actually work. Every lesson ends with your people doing the thing, not watching it done, and the examples come from your work, not ours.

  1. Part 1 — Foundations Lessons 01–03 · The brain

    What a model is, what it can hold, and where it fails.

    1. 01

      Intro to Large Language Models

      What an LLM is, what “thinking” means, and why the harness around the model decides the results you get.

    2. 02

      Small brain or big brain, quick or slow

      Model sizes and thinking effort: picking the right tier and setting for a real task.

    3. 03

      What the model can see, remember, and make up

      The context window, the system prompt, memory, and why models make things up.

  2. Part 2 — The Craft Lessons 04–07 · The desk

    Getting dependable work out of it, task by task.

    1. 04

      Prompt engineering basics

      Brief it like a sharp new hire: role, context, task, format, examples.

    2. 05

      Agents, tools, and what goes in the window

      What an agent is, how tool calls work, and API and MCP in a line each.

    3. 06

      Context engineering, and skills

      Deciding what enters the window and what stays outside; writing skills an agent follows.

    4. 07

      Advanced prompt engineering

      Decomposing big jobs, structured outputs with checks, and testing prompts on real work.

  3. Part 3 — The Path Lessons 08–09 · Your harness

    From understanding to a decision your company can act on.

    1. 08

      Copilot and Claude: two harnesses

      What Copilot exposes, what your tenant actually serves, and where the two differ.

    2. 09

      Your decision, and one Monday experiment

      Develop or adopt, the 4 Ds of AI fluency (Anthropic’s framework), and an experiment your team runs that week.

The team leaves with a written playbook: the briefs, the context, and the rules, in their own words.

How it's delivered

Two formats. One course.

One-day intensive

About six hours, on-site or remote

The course’s spine in a single day, ending with a working session on a workflow the team chose in advance.

Best for: Teams that can clear a day and want momentum.

Four weekly sessions

90 minutes a week, for four weeks

The course across four weeks. Between sessions, people apply it to real work and bring the results back for review.

Best for: Teams that want the habits to stick.

Cohort
8 to 20 people
Where
On-site in the Greater Toronto Area, or remote
Tools
Whatever your company has approved: Microsoft Copilot, ChatGPT, Claude, Gemini
You keep
The playbook, the briefs, and the recordings if remote
Who it's for

People who write, decide, and analyse for a living.

  • Operations
  • Strategy
  • Finance
  • Marketing
  • Human resources
  • Legal operations
  • Project management
  • Customer experience

Whole departments, not only the technical ones. Analysts through directors; anyone whose week is documents, decisions, and email. It is not a course for engineers building models, and we will say so if that is what you need.

Who teaches it

We build AI systems for a living.

Arshveer Gahir Founder, lead facilitator

Trellis is a brand, digital, and AI studio in Toronto. We build AI automation for our clients and run our own studio on it, so the course is taught by people who use these tools every working day, not from a slide deck written last year.

We do not sell software and we are not tied to a vendor. If your company runs on Copilot, we teach Copilot. Where the tools differ in ways that matter to your work, we say so plainly.

Sample lesson

Read lesson one before you talk to us.

The Brain and the Desk is the written course behind this training: nine lessons on how AI assistants actually work. Lesson one is free and whole — what a model is, what “thinking” means, and why the harness around the model decides the results you get. If the way we teach does not land with you, better to find out here than in a session.

Read lesson one PDF · 11 slides · about nine minutes · no signup
Packs

Choose how far you go.

Every pack starts at lesson one — the foundations are where the gains come from. Stop at the depth your team needs, or go the whole way and leave with the decision made.

  • Through lesson 7

    Full craft

    $10,000

    Adds context engineering, skills, and advanced prompting: the complete desk, practised on your team’s real work.

    Best for: Teams ready to build briefs and skills they reuse.

    Request this pack
  • Through lesson 5

    Working craft

    $7,500

    Foundations plus prompt engineering and agents: briefing the model well, and knowing what an agent is doing with your work.

    Best for: Teams whose week is drafting, judging, and delegating documents.

    Request this pack
  • Through lesson 3

    Foundations

    $5,000

    The brain: what a model is, sizes and thinking effort, what it can see, remember, and make up. The shared ground truth a team needs before craft.

    Best for: Teams that need shared ground truth before anything else.

    Request this pack
Build, not only training

Harness development

We build what the course teaches: the prompts, skills, and agents for your team’s actual workflows, tested on live examples and handed over documented. Scoped per workflow, typically four to six weeks.

from $15,000 alongside a pack

from $20,000 on its own

Prices are per cohort of 8 to 20 people, in Canadian dollars, plus HST. Remote or on-site in the GTA. Either delivery format, same price.

FAQ

Common
questions.

No. We teach in whatever your company has approved. The principles are the same across Copilot, ChatGPT, Claude, and Gemini. Where one tool does something the others cannot, we point it out and move on.

We ask for your acceptable-use and data-classification policies before the first session and teach inside them. No company data comes into the room unless you have cleared it. The lessons on what the model can see are taught inside what your policy allows, so people leave knowing the line instead of guessing at it. The course is built to be taught inside strict acceptable-use policies — the kind regulated employers actually have.

Eight to twenty per cohort. Smaller and the working sessions lose energy; larger and people stop getting their own work reviewed. Bigger teams run as several cohorts.

Yes. The weekly format works well remotely. The one-day intensive is better in a room, and we will tell you if we think your team should wait for one.

The close of the course always is: the final lessons build the harness for a workflow your team chose. If you want the earlier lessons to use your documents and examples as well, we do that with a short discovery call beforehand.

The playbook, first of all: the briefs, the context, and the rules your team wrote during the sessions, in their own words. In the weekly format, people apply each lesson to real work between sessions and bring the results back for review. The course ends with an experiment your team runs that week. And when you want what was learned built into the tools themselves, that is harness development.

The packs above show it: $5,000 to $12,500 per cohort of 8 to 20, in Canadian dollars, plus HST, the same price in either format. Harness development is scoped per workflow: from $15,000 alongside a pack, from $20,000 on its own. Ask and we will send a proposal you can circulate internally.

Bring it to your team

Request a session

Tell us about the team. We reply within two business days with a proposal and available dates.

Tools your team uses
Format
Pack