The finished proposal looked impressive.
It was clean, polished, and exactly the kind of document that makes a company seem organized, capable, and fully in control.
Then the client got in touch.
The market research referenced in section two — the numbers supporting the entire recommendation — had never existed. The AI invented them. Not loosely, not by accident, but with complete confidence and specific detail.
There's a term for that. It's called a hallucination, and it happens when you give a capable, eager, completely unsupervised tool access to your work and assume it will sort everything out on its own.
Feeling a little familiar?
The intern nobody trained
Picture bringing on an intern and, on day one, giving them access to everything.
Your client records. Your email drafts. Your financial summaries. Your internal documents.
"Just make it work. Let me know if you need anything."
No onboarding. No rules. No follow-up.
That's how a lot of companies are approaching AI today.
Not because they're careless. In many cases, it's the opposite. AI tools are genuinely helpful, easy to access, and already embedded in the software teams use every day. There's an AI button in email, another in your document editor, and another in your project management platform. It feels like help has finally arrived.
And in many ways, it has.
AI can be exceptional for drafting, summarizing, sorting information, and speeding up work that once took hours. The problem isn't the technology itself — it's the lack of structure around how it's being used.
AI is now built into nearly every app. Not every business has paused to ask what happens when someone clicks that button.
What your unsupervised intern is really doing
When AI tools appear without a clear plan, three common problems show up.
First, data gets shared in ways nobody intended.
Employees paste client contracts into free AI tools for a fast summary. They upload financial information into a chatbot to help format a report.
Research from CybSafe and the National Cybersecurity Alliance found that 38% of employees share confidential data with AI platforms without approval — and most don't realize they're doing it.
Many consumer AI tools use that input to train their models, which means your business data may not be as private as you assume. Nobody is trying to break the rules. They just don't know where the boundaries are.
Second, unapproved tools start showing up.
A BlackFog survey of 2,000 workers found that 49% are using AI tools their employer hasn't approved. That leaves IT with no visibility into what's being used, what data those tools can reach, or what the terms say about ownership and privacy. In practice, it's shadow IT.
Third, people trust the output without checking it.
AI is remarkably confident in the way it presents information. It rarely signals uncertainty or stops to warn that it could be wrong. It creates polished, convincing content whether the facts are accurate or not.
The proposal with made-up statistics looked every bit as credible as one built on real data. A human intern might make that mistake once. AI can repeat it again and again, at scale. That's not a glitch — it's how the tool is designed. The risk appears when no one reviews the work before it goes out.
AI doesn't repair broken processes. It speeds them up. A disorganized company with AI just moves faster in the wrong direction.
How to supervise your intern
The solution isn't to ban AI. That's unrealistic, and it puts you behind businesses that are learning to use it well.
The better approach is to manage it like a new hire with plenty of potential and zero context.
Set rules before access begins.
Define which tools are approved and which are off-limits. Keep the process simple: maintain a shared list and update it as needed. This isn't about red tape. It's about knowing which tools are connected to your business.
Build in a review step.
AI drafts. Humans approve. Nothing should reach a client, vendor, or the public without someone reviewing it first. It sounds obvious, but this is exactly where mistakes tend to happen.
Spell out what not to share.
Client names, contract terms, financial records, employee data — none of it belongs in a consumer AI platform. If people don't know the line, they'll cross it without meaning to.
The goal isn't flawless AI use. It's a team that knows how to use AI without leaving the back door open.
Maybe your business already has this under control. Maybe you have approved tools, a review process, and clear guidance on what stays off-limits.
But if your team is using AI the way many teams are — enthusiastically, independently, and without much structure — it may be time to talk about what's really happening behind those helpful buttons.
Click here or give us a call at (802) 331-1900 to schedule your free Discovery Call.
And if you know a business owner who's handed their AI "intern" the keys and walked away, send this to them.
The companies that struggle with AI won't be the ones that used it. They'll be the ones that never decided how it should be used.
