WoRKSHOPS & TRAININGYour team isn’t going to figure out AI on their own.
The tool doesn’t solve the problem or win the adoption. People do, once they know why. Our workshops are hands-on, run on your team’s actual work, and teach the reasoning behind it all, so it sticks after we leave.
Workshops
Learn it. Build it. Lock it down.
-
01. Essentials
ChatGPT, Claude, Claude Code & Design.
The daily tools, used well. Prompts, files, projects, and the judgment calls: what to hand it, what to keep, when to stop. Everyone leaves with shared language and real confidence in the tools.
Foreveryone, or one department at a time.
-
02. Build
Internal tools, agents & automations.
Hands on the keyboard. Your team maps one workflow that eats their week and builds the automation, agent, or small tool that takes it. Something running before we leave.
Forops, admin, and whoever owns the process or system.
-
03. Govern
Security & governance.
What data goes where, who is allowed to use what, and the rules your team will follow because they helped write them. A policy you can enforce, not a PDF nobody opens.
Forowners, department leads, and whoever gets the call when something leaks.
-
For the people who decide, not the people who use.
04. Lead
Where AI fits in your business.
For owners and department leads. Map the workflows first, pick the tools second, and decide what stays human. You leave with the short list of where AI pays and where it won't.
Forowners and the leads who sign off.
Formats
Half day or full day. Whole company or one team: owners, department leads, ops, admin. Every session runs on your work, not sample data.
Not sure which one fits for your team?
Book a callHow it works
One call. Then a room full of people building.
-
Step one
01The call.
Where the business is headed and what's in the way. Which team, which workflows, and what you need them doing on their own after we leave. We scope the workshop to that, and we'll say so if a workshop isn't the fix.
-
Step two
02We build it on your work.
You pick the workshop. We build the session around your files, your inbox, your job notes. Nobody has to translate a demo back to their own desk.
-
Step three
03Workshop day.
Half day or full day, in the room or on Zoom. Everyone on their own machine, no slides to sit through. You leave with something you built.
-
Step four
04One week of office hours.
The question that decides whether this sticks shows up on Tuesday, when someone tries it alone and it breaks. So we stay on for a week. Bring us what broke.
The AI Readiness Model
Start with your people. End with your people.
The tech isn't the problem. We start with your people and leave it with them. Machine in the middle.
Your people
Operator intuition
The knowledge, judgment, and buy-in everything is built from. Your people are the strategy.
You automate a guess‚ and no one owns the result.
Your data
Clean, trusted data
Operator knowledge, captured and made trustworthy. One source of truth.
Every step after inherits broken inputs.
Your workflows
Defined workflows
How the work moves, mapped once so it runs the same no matter who's on shift.
AI runs on inconsistent inputs, returns inconsistent output.
Your AI & automation
AI & automation
Agents, copilots, and automations running in your real stack‚ AI production work, not pilots.
The steps around it get skipped, then it dies in legal or IT review.
Your people
Your team owns it
We teach your team to run it, improve it, and handle the exceptions, so the AI capability doesn't walk out the door when we do.
You're renting capability instead of building it, dependent on a vendor forever.
Track what actually changed, then keep improving it.
We don't build it and walk. We're in it with you, wherever you are.
AI isn’t magic.
The operators who win with it aren't the ones who adopted it fastest. They're the ones who knew where to put it.
We help you figure out where.

