TL;DR: AI has spread through most businesses faster than anyone formally decided to adopt it - it's in your email, your data tools, your customer service software, often without a single sign-off. The problem isn't AI itself. It's that most businesses couldn't say with confidence who's responsible for it, how to switch it off in an emergency, or what they'd tell a regulator if something went wrong. That's a governance gap, not a technology gap, and it's fixable.
_____________________
Here's a question worth thinking about for a minute: if one of the AI tools your business relies on started making mistakes right now, today, how quickly could you turn it off?
Not "how quickly could IT eventually get round to it." How quickly, exactly, could you stop it?
For most businesses we talk to, the honest answer is "not as fast as we'd like" - or sometimes, "we're not entirely sure."
That's not a criticism. It's just where most organisations are. AI didn't arrive through a formal rollout with a project plan and a sign-off sheet. It arrived in pieces. Someone tried a new feature in their email client. A team started using an AI add-on to speed up reporting. A piece of software got an "AI-powered" update nobody really noticed. None of it felt like a big decision at the time, because none of it was.
But add it up over twelve months and a lot of businesses are now relying on AI in places nobody planned for, tracked, or fully understood.
Why this matters more than it looks like it does
If you don't know everywhere AI is operating in your business, you can't switch it off quickly when something goes wrong. And if you can't switch it off quickly, you can't actually control the risk - you're just hoping it doesn't materialise.
Not sure where to start?
Let's talk it through.
Have a quick, no-obligation call with our team.
No pitch, just answers.
There's a second problem sitting right behind it: ownership.
Say an AI tool sends a client the wrong figures, or an automated reply gives advice that's flat-out incorrect, or a data tool surfaces something it shouldn't have. Who picks that up? Who's accountable for fixing it, and for explaining it afterwards?
In a lot of businesses, that question doesn't have a clean answer. The default assumption tends to land on IT, but that's usually too narrow - AI by this point is touching finance, operations, marketing, customer service. It's not a department's problem. It's a business-wide one. Which makes it a governance issue, not a tech support ticket.
Governance sounds like a heavier word than it needs to be. In practice it just means three things: knowing where AI is being used, knowing who's responsible for each instance of it, and having a way to pause or shut it down if it starts causing problems.
Regulators are starting to ask the same question
This isn't just an internal tidiness issue anymore. Regulators are increasingly expecting businesses to be able to explain how AI is used in their operations, who's accountable for it, and what happens when it doesn't work as intended. "We didn't realise it was doing that" is not going to be a satisfying answer to give a regulator, an insurer, or a client - and increasingly, it won't need to be accepted as one.
None of this is an argument for backing away from AI. It's already too useful, and for most businesses, too embedded to unwind even if you wanted to. The argument is for getting a grip on it before you're forced to, rather than after something's gone wrong.
A few questions worth asking yourself this week:
- Do you actually know which tools across your business are using AI right now?
- Is there a named person or team responsible for each of them?
- If one needed to be paused or switched off today, could that happen in minutes, or would it take days of figuring out who has access to what?
- Could you explain, clearly and calmly, what that tool was doing and why, if someone asked?
If you can answer all four without hesitating, you're ahead of most businesses we speak to. If you can't, that's not a crisis - it's just the starting point for a conversation worth having now, while you've got the time to do it properly.
That's exactly the kind of mapping exercise we help clients run: finding out where AI is actually operating across the business, who owns each piece, and how quickly it could be controlled if it needed to be.
Get in touch and we'll help you tighten it up.