Real Minds AI helps team and capability leaders build practical AI skills across their organisations. With hands-on workshops delivered to university staff, school admin teams, and clinical educators across Australia and internationally, RMAI’s approach is designed to draw out what people already know — short input, extended practice, participants teaching each other — not death-by-PowerPoint. Led by Dr Dennis Wollersheim (PhD Computer Science, 53 publications, 15 years university teaching) and Tracy Anthony (35 years solutions architecture). 16 organisations across 7 industries. 88+ workshops delivered. 4.9 Google rating, 23 reviews.
Your team knows they need AI skills. You need someone who can actually teach them.
Not a vendor demo. Not a YouTube playlist. A structured pathway from “I’ve had a play with ChatGPT” to “I built this and it works” — designed for real professionals with real workloads.
The gap we keep walking into
Most teams we work with are in the same place: a handful of people experimenting with ChatGPT, everyone else watching from the sidelines, and leadership wondering how to close the gap without overwhelming people who are already flat out. When we surveyed school admin staff before a recent workshop, every single participant wanted the same thing: save time on admin tasks, build confidence, and bring ideas back to their team. Not one of them called themselves advanced.
The audience isn’t lacking intelligence — they’re lacking a safe, structured way in. A university research team, a group of school office managers, and a roomful of emergency medicine educators all face the same challenge: they’re experts in their domain, beginners in AI, and worried about getting it wrong.
Why most AI training doesn’t land
Most AI training fails because it’s didactic — someone talks at you for four hours about what AI can do, and you leave inspired but unable to do any of it. Dennis’s approach flips it: one to two minutes of input, then extended time for participants to process, try, and teach each other. The magic isn’t in the instruction — it’s in giving people a turn. Letting the room discover what they already know how to do. It’s the difference between watching someone cook and actually holding the knife.
Training people to use ChatGPT is basic value. Real value comes from AI mindset training — learning to decompose complex tasks into components that AI can augment. That’s a fundamentally different skill. It’s not about the tool. It’s about transforming how your team thinks about their work.
What it looks like in practice
In the Philippines, 30 university students built working apps in a single afternoon using a format refined across dozens of sessions: demo, guided walkthrough, then build challenge. Four hackathon teams. Working demos. In an afternoon.
At a school admin workshop, participants who’d never gone beyond ChatGPT were summarising meeting notes and building calendar workflows by lunchtime. Every single one arrived wanting to save time on admin tasks — every single one left having done it.
At RMIT, we’re delivering an eight-session AI agent development curriculum to university staff. Five workshops in. The format works because it starts with what people are already smart at and makes it more.
Who we’ve worked with
RMIT University
Eight-session AI agent development curriculum for university staff. Covers Claude Code, workflow automation, agent creation, and practical applications. Five workshops delivered and going well. Both founders involved in delivery.
Critical Agendas
Two full-day AI workshops for school admin teams. Participants arrived as beginners — office managers, HR staff, learning support, daily organisers. They left having built workflows on their own real tasks. Workshop 2 delivering March 20.
We’re also currently scoping work with an independent girls’ school exploring AI capability building for their leadership and admin teams — they found us through our Critical Agendas listing and said our proposal “aligns well with what we’re seeking.” And with a public health service planning an AI-in-education session for 40+ emergency medicine educators across nursing, medicine, allied health, pharmacy, and social work.
Two workshops across Manila and Bulacan reached ~100 university students. Four hackathon teams built working demos in a single afternoon — pro bono, because levelling the playing field isn’t just a talking point.
How we work with your team
Team AI Readiness Assessment
We assess where your team is now — tools, confidence, workflows — and map the path from here to capable. No assumptions about what you should be using.
The Walkthrough →Hands-on AI Workshops
Practical sessions built around your team’s actual work. Demo → guided walkthrough → build challenge. Not lectures. Participants leave having built something real.
AI Training →Curriculum Design & Delivery
Multi-session programs tailored to your organisation’s tools, policies, and skill levels. From single workshops to eight-session curricula.
The Discovery →AI Coaching for Leaders
One-on-one guidance for the person who needs to champion AI adoption without being the expert. Build your confidence so you can build your team’s.
Start a conversation →Questions we hear from capability leaders
Our team has mixed skill levels — will everyone get something out of it?
Every workshop we run has a range. The format handles it: beginners get structured first steps, experienced users get challenged to build. At one session, the same afternoon served students who’d never coded and students building local AI models.
We already have Copilot and ChatGPT — do we need training?
Having the tool and knowing what to do with it are different things. AI mindset training — learning to decompose complex tasks into augmentable components — is where the real value sits. We start with the tools you already have.
What if our IT environment is locked down?
We’ve worked in environments where they retired Windows 7 three years ago and it takes three weeks to set up an email. We design around your constraints, not around ideal conditions.
How is this different from watching YouTube tutorials?
You leave our sessions having built something real with your own hands, on your own work. Not hypotheticals. The “learn one, do one, teach one” cycle means participants exit with taught experience, not just observed knowledge.
Ready to build your team’s AI capability?
We don’t do death-by-PowerPoint. We show up, we listen, and we design something that works for your people.
Let’s talk about your teamResponsible AI
Tracy holds the Responsible AI certification from the Institute of Applied Technology and BABL AI. We don’t just talk about ethics — we’re credentialed.
We work with your compliance team, not around them. Australian Privacy Principles guide everything we do. Your data never trains third-party models without explicit consent.
If you use 0% of AI, you’re missing out. If you use 100%, you end up with slop. We find the right balance — AI that augments your people, not replaces them.
© 2026 Real Minds, Artificial Intelligence Pty Ltd · ABN 17 674 830 741 · Melbourne, Australia