Most organisations are already using AI. Few are leading it. The tools are in people's hands, but usage is uneven, unmeasured, and largely ungoverned — and the distance between "we tried it" and "this is how we work now" is where both the value and the risk sit. This guide is how to close that distance.
Haven't taken the check yet? Do that first — 14 questions, about four minutes. It scores you on the three areas below and tells you which one to fix first. Already have your result? Jump to your weakest area: AI Usage · AI Governance · AI Learning.
Three things decide whether AI actually sticks in a team. They're not separate projects — inside a real team they're one problem, and a weakness in any one of them stalls the other two.
The check gives you a score for each and a combined grade. The work is almost always the same shape: find the weakest of the three and fix that one first. Doing all three at once, or doing the one you find most comfortable, is how programmes stall.
Usage is whether AI has actually changed how the work gets done — not whether people have tried it. The test is simple: name a real piece of weekly work that runs differently now because of AI. If you can't, usage is still at the demo stage.
Pick one team and one workflow — a task people do every week. Work through where AI helps and where it doesn't, and make "check before you send" the rule. Adoption spreads from a visible win, not a mandate.
You have enthusiasts — now make their practice legible. Capture what's working, agree a recommended tool set, and give the occasional users a reason and a route to go deeper.
Protect it. Keep the recommended tools current, watch for over-reliance on unchecked output, and feed what you learn back into how new people are brought up to speed.
PromptForge puts structured prompting into everyday practice — 12 frameworks, auto-suggested, local-only. It's the difference between people guessing at prompts and having a repeatable way in. Free public beta.
Governance is the part everyone agrees is important and few have actually done. The bar is not a legal document — it's a policy a team will read and follow, and one clear rule about data that is enforced rather than trusted.
You're carrying real exposure with no controls. Write a one-page usage policy people will actually read, and set a hard line on what data never goes into a public tool — backed by a tool so it isn't just trust.
A policy exists but isn't living. Give governance a named owner, make the "never share" rule enforceable rather than advisory, and start logging near-misses so the policy improves from evidence.
Keep it current as tools and regulation move, rehearse the "how do you govern AI?" answer for clients, and make sure the owner has the mandate to say no when needed.
Guardian AI sits directly under this: it enforces the data rule at the browser before a prompt is sent, and doubles as a critical-thinking checkpoint — did a human actually think about this? Free public beta.
Learning is what stops AI capability from living in three people's heads. Self-taught doesn't scale and it quietly leaves non-technical staff behind. The bar is training built around the actual work, and an active habit of sharing what works.
Run role-relevant training built around real tasks — not a generic "intro to AI" — and open a shared space for prompts and patterns so the learning outlives the session.
Training has started but isn't sticking. Tie it to the work people actually do, make "sharing what works" a habit rather than an afterthought, and check that non-technical staff are genuinely included.
Keep it fresh as the tools change, keep the sharing practice active, and consider formalising it into a short internal course so it survives staff turnover.
If the weak area isn't moving — the policy keeps not landing, usage won't spread past the enthusiasts, training doesn't stick — that's the point to bring Jon in on that one problem. A short, hands-on look at how AI is actually used and governed here, then the specific move it needs: a workshop, a rollout, or a fractional hand on it.