Courses for every part of an AI rollout.
Every course is a job done in your own organisation, built on the Deployment Framework. Leaders run the first loop, teams improve their own work, and builders build and run what's shared. They're free, and each one leaves you with something you keep.
Leadership
Leaders run the first loop: set the aim, make the promises, find the bottleneck and measure the result.
Your first 90 days with AI
Run AI through one full loop in your own organisation, without orphaned apps, and know by day 90 whether it worked.
- 8
- modules
- 42
- lessons
- 34
- narrated videos
- ~7
- hours, over 90 days
Teams
Teams improve their own work with the approved tools, without dumping it on someone else.
Everyone's first hour with AI
The baseline session: what the aim is and what you've been promised, the five duties, the output standard, how to raise something at the front door, and stop, tell, fix, learn.
Make AI stick
Why most people can't use their AI training, making AI use safe to admit, running the weekly meeting and the friction list, workslop and the output standard, AI fatigue, and why you never reward usage.
Claude for teams
Setting Claude up under your guardrails, the output standard in practice, your first workflow on the bottleneck, the moment something personal becomes shared, and the admin side: data, spending and review dates.
ChatGPT for teams
The same job as Claude for teams, for organisations on ChatGPT: set up under your guardrails, aimed at your bottleneck, with the front door built in.
Your team's first loop
The everyday friction in your function, the one-person loop, what's high stakes here, and redesigning one real workflow.
Builders
Whoever builds and runs what's shared: an internal engineer, an ops lead who sets up tools, or an outside builder.
Build: from request to proof
Triage at the front door, the one-page case, reuse, configure, buy, build or don't, a sandbox then a limited live trial, proof that it works, is fair and is safe, and experiments with kill criteria.
Own: run it, undo it, retire it
Owners and backups, monitoring and the off switch, a tested undo, learning from corrections, the records the stakes require, the vendor-change plan, and retiring something safely.
Editions
The same courses, re-cut with the examples, stakes and defaults of a particular setting.
Healthcare
Administrative uses first. Patient messages, billing codes and the medical record count as high stakes, the guardrails cover HIPAA and business associate agreements, and incidents go into existing patient-safety reporting.
Small firm
For firms of about 10 to 20 people. The flagship condensed to four modules, with the owner playing every role and an outside builder answering the front door.
Private equity portfolio
For operating partners. One set of promises and guardrails across the portfolio, each company running its own loop, and a view across companies of where freed-up time went.
9 more on the way
Start with the leadership course, or run it with us.
Your first 90 days with AI is free and available today. Deployment Labs also runs the same loop with leadership teams as a guided pilot.