What Should AI Training for Small Businesses Actually Cover?

There's a lot of AI training out there right now. Some of it is excellent. Some of it is a two-hour overview that leaves people feeling like they've heard a lot of words but can't actually do anything differently on Monday morning.

If you're thinking about investing in AI training for your team, here's what I think good training should cover - and a few questions worth asking any provider before you book.

It should start with understanding, not tools

The temptation with AI training is to jump straight into showing people how to use specific platforms. But people who don't understand what AI actually is make worse users of it. They don't know why it sometimes gets things wrong. They don't know what data is safe to share with it. They don't know how to evaluate whether an output is good or not.

Good AI training starts by giving people a genuine understanding of how large language models work - in plain language, without jargon. Not a computer science lecture. Just enough to make everything else make sense.

It should cover the things that can go wrong

AI makes things up. It presents inaccurate information confidently and convincingly. It can reproduce content in ways that raise copyright questions. It handles data in ways that have real GDPR implications if you're not careful.

Any training that doesn't cover these things isn't preparing your team to use AI safely. It's preparing them to use it enthusiastically, which is a different and potentially more dangerous thing.

It should be about your team's actual work

Generic AI training that uses made-up examples to demonstrate prompting is less useful than training that uses real tasks from your team's real working day. The goal isn't for people to understand AI in the abstract - it's for them to leave knowing how to use it for the things they actually do.

Good training adapts to the room. A housing association session should feel different to a legal firm session, even if the underlying skills are the same.

It should give people something to take away and use immediately

By the end of a good AI training session, every participant should have done something with AI themselves - not just watched someone else do it. They should leave with at least one practical skill they can apply the next day, a prompt or two they've already tested, and enough confidence to keep experimenting.

If people leave a training session having only watched a demonstration, the learning won't stick. Doing is what makes it stick.

It should be honest about limitations

AI is genuinely useful. It is also genuinely limited. Training that presents AI as a solution to everything, or that glosses over its weaknesses, isn't doing your team any favours. Good training gives people a realistic picture - what AI is good at, what it isn't, and how to use it in a way that plays to its strengths.

A few questions worth asking a training provider

Before you book AI training for your team, it's worth asking: Is it CPD accredited? That matters both for quality assurance and for FSP funding eligibility if you're based in Wales. Will the session be tailored to our sector and our team's actual roles? How much of the session is hands-on versus demonstration? And what does each person leave with at the end?

If a provider can't answer those questions clearly, that tells you something.

What our training covers

Our AI training sessions are CPD accredited, hands-on throughout, and adapted to your organisation before every session. Every participant leaves having used AI for something relevant to their own role, with an AI Policy template they can adapt for their organisation and enough practical knowledge to keep building from there.

If you'd like to find out more, you can see what our training covers and register your interest here.