A lot of AI conversations get stuck at "we should train people." That's true, but what most Australian SMEs actually need is a way to keep people learning as AI changes — without blowing up everyone's calendar. So I think about it less as "a course" and more as an AI capability system: a few things leaders do, a few things teams do, and a few things we measure.
Here's how I'd build it.
1. Start with a capability map, not a tool demo
Before we pick content, I like to answer one question: "What do we want our people to be able to do with AI, reliably?"
For most SMEs the list is short:
- Use approved AI tools safely
- Turn prompts into usable work (emails, summaries, docs)
- Improve a process with AI and show the benefit
- Know when to ask for help / escalate
That's your capability map. Training should point at those four, not at "everything AI can do."
2. Make AI a team sport
Individual heroes are nice, but they don't move the P&L. You want whole teams working the same way.
What works well is a 3-lane model:
- Exec lane: direction, policy, and "here are the 2–3 AI things we care about this quarter."
- Manager lane: standardise the prompts/workflows for their team and review AI outputs.
- Team lane: use the approved workflows, contribute improvements.
When we run executive training, this is basically what we're trying to set up — so the skills don't end with the ELT.
3. Layer the learning (light, then deeper)
Most people don't need a two-day AI course. They need several small, well-timed hits.
A simple sequence:
- Kick-off (everyone): 45–60 mins on what AI is, what's approved, and how to stay safe.
- Role/functional sessions: "AI for service," "AI for finance," "AI for ops." Real work, real examples.
- Manager clinics: 30–45 mins on how to review AI work, how to spot good prompts, how to coach.
- Refreshes: short updates when tools/policy change.
Nice thing: you can run all of this in 4–8 weeks without stopping the business.
4. Put innovation on rails
"Experiment!" is useless instruction. People need to know how.
Give them a dead-simple format:
That's how you get a culture of "we try things" without chaos.
5. Measure skills, not just attendance
If you only track "who turned up," you won't know if AI is actually landing.
Track things like:
- % of team using approved tools weekly
- Number of AI-enabled workflows documented
- Amount of time saved on a single process
- Number of improvements submitted by staff
Those tell you if skills are turning into behaviour.
6. Where The AI Guides fit
This is basically what our executive training is designed to do: give leaders the shared language and guardrails, then help you cascade it so managers and teams actually build the skills. We can map the 3-lane model to your org, write the one-pager policy, and design the short, role-based sessions so you don't have to invent all of this.
Key idea: AI skills shouldn't depend on one enthusiastic person. They should be part of how the business works — lightweight, repeatable, and tied to the work people already do.
If you want to set that up once and hand it to your managers, let's plan it together. Contact us today.
Cheers,
Patrick
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About the Author
Patrick is co-founder of The AI Guides, bringing a decade of strategy consulting experience to help Australian SMEs adopt AI with confidence. Based in Sydney, he specialises in practical AI strategy, executive training, and building team capability.
About The AI Guides
The AI Guides helps Australian SMEs navigate AI adoption with confidence. We provide expert AI strategy, executive and team training, and implementation support tailored to your business needs. Founded by two Sydney-based strategy and digital transformation professionals, we serve as your trusted guides through the evolving AI landscape.