One afternoon. Every person in the room, actually using AI by the end of it.
This is a single, live, four-hour masterclass — run privately for your organisation, not a public webinar. Built for mixed rooms: people who've never opened an AI tool with intent, sitting next to people who use one every day. Everyone leaves having used AI on something from your actual work, not a toy example.
one line, one room, no one left behind
Most teams are still guessing at AI. That's the actual edge.
Not because the tools are secret — they're free to try. Because almost no one has been shown how to use them properly, together, inside real work.
Access isn't the bottleneck
Everyone in the room already has a login. Almost no one has a shared method. We close that gap in one room, in one afternoon — not a blog post.
Doing nothing isn't neutral
Skipping this doesn't keep things the same. It just means someone else in your business — or your market — learns it first, and sets the pace for everyone else.
This edge won't stay open
In a few years, "knows how to use AI well" will be table stakes, not an advantage. Right now it's still a genuine differentiator — and a single session is enough to close the gap.
One session, five moments, in order
This isn't a webinar with slides read aloud. It's a working session — the order matters, because each part sets up the next.
The credibility case
We open with a straight case for why this matters to your business specifically — real experience, real stakes, no generic AI-hype slide.
Prompting that actually works
The single line the whole session is built on: the people who get clean answers give the model a job; the people who get vague answers ask it a question. We drill the difference until it's automatic.
Spotting the dangerous kind of wrong
Working from a real technical document from your world, participants fact-check AI outputs side by side. The lesson isn't "AI makes things up" — it's that a model reusing real facts in the wrong context is subtler, and far more dangerous, than an obvious fabrication.
What your data actually powers
Plain-language answers to the questions your leadership team is actually asking: where does our data go, what's a fine-tuned model versus a model that's just been given our documents, and what should we be governing.
Go deeper live, or take it home
Depending on the room's energy, we either push further into the Hallucination Lab live, or wrap with a fast primer and send the lab home as a team exercise. Either way, everyone leaves with something they built, not just notes.
Built for the room you actually have — not the room a generic course assumes
Most AI training picks a lane: technical, or executive, or "beginners." Real teams don't split that neatly. This masterclass is built to run in one room with people who've never opened an AI tool with intent, sitting next to people who already use one daily — and to be worth the time for both.
It's also built for hybrid rooms. A remote participant isn't an afterthought bolted onto a slide deck — the session is run with deliberate attention to keeping remote attendees inside the conversation, not watching it happen.
- Technical specialists geology, metallurgy, engineering, operations
- Executive leadership funding decisions, risk, governance
- First-time AI users zero prior experience assumed
- Daily AI users sharpen what they already do
- Remote attendees included by design, not by accident
What "private" and "hands-on" actually mean here
Just your team
This runs privately for one organisation at a time. No mixing with strangers from other companies, no diluted content.
Live, in the room
Delivered in person or hybrid, four hours in one sitting with proper breaks — not a pre-recorded course.
Your documents, your work
Bring real material. The lab and examples run on your context, not sanitized demo data that doesn't transfer back to Monday.
A working session, not a talk
Everyone leaves having built something — a prompt, a checklist, a working method — not just a set of notes.
Taught by someone who's actually done the work
This masterclass is run by a consultant with a career spanning retail banking, FMCG, and large-scale mining operations — deploying and commissioning complex, high-stakes systems long before "AI" was the word for it. That background shifted a few years ago into a genuine fascination with how AI actually works under the hood: hands-on with generative AI, large language models, and computer vision, alongside the more traditional data science and analytics disciplines that came before them. Equal parts practitioner and student — still learning in public, and still teaching what's learned along the way.
The best AI training isn't a slide deck. It's a room full of your own documents, your own numbers, and someone who's actually done the work.
That background is why this session doesn't lean on generic examples — years spent commissioning systems that had to work the first time, in industries where getting it wrong is expensive, translate directly into a habit of checking AI outputs rather than trusting them on faith.
One format, priced on application
Every session is the same shape — four hours, live, custom-built for your organisation — so the fee is scoped to your team rather than sold off a rate card.
- One private 4-hour session, live
- In person or hybrid delivery
- Content built around your own material
- Take-home materials and templates
Submit the form below with a bit of detail on your team and we'll come back with a scoped proposal and fee.
Before you ask
Do people need any technical background?
Is this a public class or private for our company?
Can remote or hybrid attendees join properly?
What if someone has to miss part of the session?
Can the content be tailored to our specific data or industry?
Book this session, or ask a question first
Prefer email? Write to hello@equityedgeinvestments.com.