Here’s something happening in almost every business right now, probably including yours: your staff are using AI tools like ChatGPT to get their work done, and nobody told you. They’re not being sneaky. They’re just trying to get their jobs done faster. But it creates a real risk for your business, and most owners don’t see it until something goes wrong.
There’s an old problem in business called “shadow IT.” It’s a fancy term that refers to any software or system used by employees without the knowledge or approval of the business’s IT department. Common examples include:
It was always a bit of a headache, but it was manageable. The tools cost money, took effort to set up, and usually showed up on an expense report eventually. You could spot it and deal with it.
But now with the influx of new AI tools for pretty much any task you can imagine, AI has amplified shadow IT significantly.
A few things changed all at once.
This isn’t about being against AI. AI is genuinely useful and your team should be getting value from it. The problem is what’s quietly leaking out the back door.
The natural reaction is to put a stop to it. Send an email, make a rule, block the websites.
It almost never works, for one simple reason: these tools genuinely help people do their jobs. When you ban something useful, people don’t stop. They just move it somewhere you can’t see, like their personal phone at home. You end up with the same risk, but now it’s completely hidden, and you’ve told your best people you’d rather they work slower. That’s the worst of both worlds.
The goal isn’t to control everything. It’s to make the safe way the east way, so your team doesn’t have to choose between doing good work and doing the right thing. A few practical steps:
Give them a proper tool to use. The biggest fix is simply offering an approved AI tool that’s actually good: a business version that protects your data and doesn’t feed your information back to the system. Most people use the free public version only because it’s there. Give them a better, safer option and most of the hidden use stops on its own.
Find out what’s actually going on, without the lecture. Before making any rules, just ask. Talk to your team about what they’re using and what’s helping them. Be curious, not cross. If people feel they’ll get in trouble, they’ll simply stop telling you the truth, and you’ll know even less than before.
Make a simple rule about information, not tools. Trying to keep a list of “approved apps” is pointless, because it’s out of date in a week. Instead, be clear about what information should and shouldn’t be submitted to an AI tool.
Always check the work. Treat anything AI produces like a draft from a brand-new employee: useful, but needs another human to approve it’s work before it goes out the door. Build that into how things already get reviewed.
Keep talking about it. This is moving fast. Whatever you decide today will need a tweak in a few months. Make it an ongoing conversation, not a one-off memo.
If this all sounds alarming, it shouldn't. Your team using AI is a sign they're trying to work smarter, and that's something to be glad about. The risk isn't the technology itself. It's leaving it unspoken. The moment you bring it into the open, give people a safe option, and agree on a few simple ground rules, most of the danger quietly disappears. This is a very fixable problem, as long as you don't pretend it isn't there.