Two live sessions, guided practice between, and the artefacts you keep.
Make your leadershipteam AI-capable,without risking the operation.
A four-week programme for the leadership teams of regulated and process-heavy businesses. Not a prompting webinar. Leaders leave fluent enough to use AI on real work, govern it safely, and point at the two or three workflows actually worth building.
Foundations & quick wins
Live session
Embedding on real work
Guided practice
Team, policy & build shortlist
Live session
The artefacts you take with you
What you keep
A prompting course teachesyour team to use ChatGPT.
The problem in a regulated business isn't that leaders can't write a prompt. It's that they can't yet tell the difference between an AI use that's a quick win and one that's a data breach. And they're being asked to set policy for the whole organisation regardless.
Generic AI training sells a day of tips and a transcript. It tells your people what to type. It says nothing about what should never go into a public model, how to keep a human in the loop on a decision that matters, or which of your workflows is worth a real build versus a clever prompt.
This programme is built by a studio whose day job is operational AI in regulated environments. We teach leaders to move fast with AI and to know exactly where the brakes are, because we build the brakes for a living.
We're not teaching your leaders to use a chatbot. We're teaching them to make AI decisions they can defend to a board and a regulator.
A four-week arc.Two live sessions.
Foundations in Week 1, guided practice across Weeks 2–3, then team, policy and a build shortlist in Week 4. The two sessions anchor it.
Foundations & quick wins
What's real this year, the data line, and a first quick win on each leader's own work.
- —What today's AI can and can't do, in plain language.
- —Quick wins on email, meeting notes and board-pack drafting.
- —The data line: safe to share vs. never into a public model.
- —Combining tools, and the prompting that lifts quality.
Team, policy & where to build
From individual experiments to a governed team practice, your AI policy, and a build shortlist.
- —The leadership team using AI together, not in parallel.
- —Minutes into decisions; internal messages that explain the change.
- —Your internal AI policy framework and safe-use playbook.
- —The two or three workflows worth a real build, and the ones that aren't.
Foundations & quick wins
Every leader has used AI to do a real piece of their own work, safely, by the end of day one.
Embedding on real work
AI moves from “a thing I tried” to “how I draft this now”.
Team, policy & build shortlist
A governed team practice and a shortlist of the highest-value workflows to tackle next.
The artefacts you take with you
You leave more capable, your organisation safer, and your build decisions clearer.
Changes leaders can feel in the work, backed by clients who've done it.
less time on leadership drafting
SCL Recruitment's CEO built a full service offering in a day that previously took two to three.
Rob Pegg, CEO, SCL Recruitment
faster board-action turnaround
Norcis now closes board actions three days quicker by compressing minutes into clear actions.
Paul Woodhouse, CEO, Norcis
workflows worth building, identified
You end the four weeks knowing where AI would actually pay back, and where it wouldn't.
The proof, in their words.
The North Stack team took their time to help us understand the best use of AI tools on the market, which accelerated my day to day. I created a service offering in one day which would easily have taken 2–3, cutting 50% off the process.
Rob Pegg
CEO, SCL Recruitment · Halved time to build a service offering
Board actions closed three days faster
“Our team now closes board actions on average 3 days quicker due to the turnaround of compressing board minutes into actions. The team are also more comfortable using tools in a safe environment to sense-check decisions.”
Paul Woodhouse
CEO, Norcis
Brought every generation along, even the sceptics
“North Stack helped Marshall Peters adopt Co-Pilot and provided prompt engineering learning. Matthew and the team helped educate all ages of our workforce, including those of an older generation who found the whole idea of LLMs scary.”
Josh Peacock
Marshall Peters
Credential
Cho Yin Yong
Youngest sessional lecturer ever promoted in the Department of Computer & Mathematical Sciences, University of Toronto. Holds two applied-AI patents; winner of a $100,000 global build competition.
Built with a researchuniversity, not a marketing team.
Most AI training is one practitioner's opinion with a slide template. This programme's curriculum is co-designed with the University of Toronto, where our technical advisor Cho Yin Yong is the youngest sessional lecturer ever promoted in the Department of Computer & Mathematical Sciences. That connection does one specific thing for you: it keeps the material honest about what the technology can and can't do this year, grounded in current applied-AI research, not last year's hype cycle.
The same governance discipline behind our regulated builds, taught to your leaders.
We're a governance-first studio. The safety module isn't a disclaimer at the end; it's the part we'd most want a regulator to see. Leaders leave knowing:
The data line
Exactly what's safe to put into a public AI tool and what must never leave your boundary, with concrete examples from your sector.
Human-in-the-loop by instinct
When AI drafts and when a person must decide, and why high-stakes outputs always keep a human in the loop.
Your own AI policy
A framework your organisation can adopt, so the whole business moves at the same speed with the same guardrails.
The permanent red lines
The categories of decision and action AI should never make on its own, drawn from how we govern our live systems.
Built for the people who set the policy.
- +You're a CEO, chief operating officer (COO) or leadership team in a regulated or process-heavy small or mid-sized business: financial services, insurance, legal, logistics, construction, healthcare admin, government-adjacent.
- +You're expected to have a view on AI, and a policy for it, and you don't yet.
- +You want your team using AI on real leadership work in weeks, not “exploring” it for a year.
- ×You want a general staff e-learning licence rolled out to hundreds of people. This is a small leadership cohort, one company at a time.
- ×You want a certificate to tick a box. We measure this in hours saved and decisions made better, not attendance.
- ×You're after a single inspirational keynote. This is hands-on, on your own work.
One company at a time
Small leadership cohorts, so the work and the support are genuinely 1:1. Not a staff e-learning licence.
Two live sessions plus guided practice over four weeks
Built to survive a leadership diary, not blow it up.
On your real work
Every exercise uses your own decks, board packs, minutes and emails, never generic case studies.
Cross-sector, sharpest in regulated operations
Applies anywhere; most valuable in complex, process-heavy and regulated organisations.
Taught by the studio that builds
The people teaching you are the people who build governed AI systems for a living.
Fluent leaders makebetter build decisions.
The programme is a complete piece of work on its own: your team leaves more capable and your organisation safer. It's also the cleanest possible start to the North Stack Ladder. By Week 4 you can see your operation clearly enough to know which workflows are worth a real build, and you've felt first-hand how we work. If you choose to climb, you start from understanding, not a sales pitch. If you don't, you keep everything you built. Either way, no build is ever priced before the hard part is proven.
Make your leadership team AI-capable.
Tell us about your leadership team and we'll show you exactly how the four-week programme would run for your organisation, and what it would change.
One company per cohort. We'll only take you on if it's a fit.