Thinking of Upskilling Your Team in AI? Follow This Foolproof Guide

I stepped onto the scales the other day and sighed. My wife was nearby and said: "Why are you sighing? It's not like you've changed your diet or exercised, what did you expect?" Cold, but good point. That's kind of like what learning about AI is, nothing is going to change if you don't make it happen.

Say you've been reading about some new AI developments, and decide the time is now to upskill your team or organisation as well as for your own benefit, what to do?

Usually it only means one thing: Company training. Love it or hate it, face to face training is still the time-honoured way for participants to actively absorb materials with a better success rate than online learning, self-guided tutorials, or just an email update of SOPs.

As with any organisation there are hurdles though, so here is a foolproof guide to successfully implementing an AI Education session for your valuable employees.

Pitch to the L&D Team

This is the easiest one to get on board early and great to have an advocate for. All is required is dropping the terms "engagement", "positive NPS scores", "AI readiness" and L&D will be champing at the bit to roll something out.

Learning & Development departments live for new training initiatives. Frame it as "future-proofing the workforce" and they'll reach for their training calendar before you've finished the sentence.

Pitch to the CEO

CEOs operate somewhere between quarterly earnings and existential dread about being disrupted. They don't want learning outcomes or satisfaction scores — they want to know why the company down the street is doing something they're not.

A good CEO pitch usually contains three elements: a competitor reference ("I noticed [insert rival company] started posting about some type of AI roll-out"), a vague but authoritative statistic they can use for themselves ("McKinsey estimates productivity gains of 20-30%"), and the suggestion that not doing this makes the company look antiquated.

Pitch to Department Heads

This is where things can start getting a bit tricky. Department heads have sat through enough "transformational initiatives" that transformed precisely nothing except their meeting count. They're thinking: Will this actually help? Will my team hate me? Who is onboard?

Skip the platitudes. Be practical: "This training will reduce the number of times your team manually does [insert tedious task they all despise]." Specificity matters. Real examples, tangible outcomes.

The Actual Training Session

You've secured budget approval. Now comes the difficult part: making people care.

What won't work: Death by PowerPoint, guest speakers who learned about AI from LinkedIn last week, or anything requiring "breakout groups."

What can work: hands-on demonstrations using tools they'll use tomorrow, real examples from their actual work, and making them look competent rather than obsolete. Nobody wants training that makes them feel like a dinosaur.

Keep it tight. Two hours maximum. Provide a simple one-page reference guide they can actually use afterwards — a recipe card not a cookbook.

The Follow-Up

Training sessions are enthusiasm on day one, forgotten by the time the annual Christmas party rolls around. The difference between success and expensive waste is what happens after everyone returns to their desks.

Schedule check-ins. Not elaborate surveys, but actual conversations about what's working. Find the early adopters who've integrated AI into their workflow and let them share wins. Peer influence beats executive mandate every time.

Create a simple channel for questions without feeling stupid. Most resistance isn't philosophical, it's practical: "I tried this and it didn't work" quickly becomes "This doesn't work" without troubleshooting support.

Accept that not everyone will embrace this immediately. You're aiming for critical mass, not unanimous conversion.

But here's what's genuinely different about AI training: it actually saves time once people get past the learning curve. Unlike team-building exercises or mission statement workshops, this has demonstrable utility. People will use it because it makes their jobs easier, not because they were trained to.

The inevitable will happen: When someone complains that AI will replace them all, show them how to use it to automate the parts of their job they actually hate. Turns out, most people are enthusiastic about technology that handles tedious tasks whilst leaving them free to do the interesting bits.

Of course, having an excellent facilitator is crucial, as is getting the buy-in of all, but stepping up to acknowledge training is needed to begin is the bravest step of all. Just like me admitting I need to do more than stare at the scales!