Free Download | AI Readiness Checklist
You might be in for a bit of a reality check 😬
Ask five people at your business how AI is actually being used, and you'll probably get five different answers...
That's the gap this checklist closes ✅
19 straightforward checks across six areas, so you know exactly what's covered and what's just assumed to be.
It won't fix anything on its own, but it will show you precisely where to start, in about the time it takes to make a coffee.
Download your AI Readiness Checklist!
What's in this AI Readiness Checklist?
Short on time? Here's what's in the checklist:
- What's inside the AI readiness checklist
- Why check AI readiness now
- Who this is built for
- How to use it
- Where AI readiness usually falls short
- Frequently asked questions
📄 What's inside the AI readiness checklist
Interactive, so it's obvious at a glance what's covered and what isn't, across six areas:
| Category | What it checks |
|---|---|
| Visibility | Whether you actually know which AI tools and use cases exist across the business |
| Risk | Whether you understand where each use case sits on the risk scale, and why |
| Ownership | Whether there's clear accountability for AI use, not just an assumption someone's on it |
| Responsible use | Whether staff actually know what appropriate AI use looks like day to day |
| Governance | Whether new AI use cases get assessed before launch, not after something goes wrong |
| Ongoing review | Whether AI use is checked regularly, rather than treated as a one-off exercise |
Why check AI readiness now
AI tends to spread through a business quietly. Someone in marketing starts using a new tool, support adds a chatbot, product ships an AI feature, and nobody's ever stepped back to look at the whole picture at once.
That's exactly the gap regulators, investors and enterprise customers are starting to probe. Trust Keith's EU AI Act summary covers what the regulation actually requires; this checklist is the practical companion, checking whether your business is actually doing it, not just aware that it should be.
Getting ahead of it is far easier than untangling it later, especially once AI use has spread across several teams without anyone owning the full picture.
Who this AI readiness checklist is built for
This one's for scaleups, not enterprises. It's a good fit if your business:
- Has roughly 50 to 250 employees
- Has AI tools in use across more than one team, even informally
- Doesn't have a dedicated AI governance function to fall back on
- Wants a clear view of where the gaps actually are, not just a general sense of unease
How to use the AI readiness checklist
Step One: Get the right people in the room. Ownership, risk and product all show up in the questions, so this isn't a solo exercise for whoever's most AI-curious.
Step Two: Go through it honestly. Tick what's genuinely true, not what should be true. The gaps are the useful part, not the score.
Step Three: Turn the gaps into an owner and a date. An unticked box that nobody follows up on is just a longer way of ignoring the same problem.
Step Four: Fold it into wider risk oversight. AI risk shouldn't sit separately from everything else. A risk register keeps it visible alongside everything else you're already tracking.
Step Five: Revisit it. New tool, new use case, new quarter, whichever comes first. Trust Keith customers get this built into their AI governance support as standard.
Where AI readiness usually falls short
Assuming visibility that doesn't exist. "We'd know if there was a problem" usually means nobody's actually looked.
Treating every AI use case the same. A chatbot and a hiring tool don't carry the same risk, and checking them the same way misses the point.
No single owner. If AI oversight is "everyone's responsibility," it's usually nobody's.
Guardrails that exist on paper only. Guidance nobody's actually read doesn't count as responsible use.
Doing it once and moving on. AI use inside a business changes faster than most governance processes account for.
Frequently asked questions
What is an AI readiness checklist?
A structured way to check whether a business actually knows how AI is being used internally, who's accountable for it, and whether the right guardrails are in place, rather than assuming everything's fine because nothing's gone wrong yet.
Is this AI readiness checklist really free?
Yes. Trust Keith built this to help data-centric scaleups get a clear view of where they actually stand with AI.
Who should complete an AI readiness checklist?
Whoever owns AI, data or risk decisions, alongside input from teams actually using AI day to day, like marketing, HR, ops, product and support. Readiness usually falls apart when only one team has visibility.
How is this different from an EU AI Act summary?
A regulation summary explains what the law says. This checklist checks what your business is actually doing against that, covering visibility, risk, ownership, responsible use, governance and ongoing review.
What happens if we fail some of the checks?
Nothing happens automatically, but it flags exactly where the gaps are, which is far more useful than a vague sense that AI governance "should probably be sorted at some point."
How often should we redo the checklist?
Whenever a new AI tool or use case is introduced, and at least every quarter otherwise. AI use inside a business tends to change faster than most people realise.
Spotted some gaps? We can help you close them.
The team at Trust Keith works with fast-growing businesses to simplify complex regulations, helping you understand how AI is being used, where the risks sit, and what you need to do next.
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