Posted by: Tavis Patterson on June 3, 2026 at 9:16 am
Is your AI Intern helping or hindering?
AI probably did not enter your business through a formal rollout. It probably showed up in the tools your team already uses every day, like an AI button in email or another one in a document editor. Maybe it’s a chatbot someone uses to clean up a proposal or a meeting summary tool. Could be a design tool, spreadsheet helper, browser extension someone found because they were trying to save time. The list could go on and on.
And honestly, that makes sense. For a busy business owner, office manager, manufacturer, contractor, or professional services firm in Southeast Michigan, AI can be genuinely useful. It can help draft an email, summarize a long document, organize notes, brainstorm marketing ideas, or turn a rough paragraph into something more readable. Small businesses are adopting it quickly, too. The U.S. Chamber of Commerce reported in 2025 that 58% of small businesses said they use generative AI, up from 40% in 2024 and 23% in 2023.
The issue is not that employees are using AI, it’s that many businesses have not decided how AI should be used. And that is a little like hiring a brand-new intern, handing them access to your client files, vendor contracts, financial reports, HR documents, and email drafts, then saying, “Just figure it out.” No onboarding, no rules, no review process, and no one checking what they send out the door.
Most business owners would never do that with a person. But it is exactly what can happen with AI when there are no guardrails.
The AI Intern Nobody Onboarded
Think about what an intern needs on the first day. They need to know which files they can access, and what information is private. They need to understand what can be sent to a client and what needs approval first. And most importantly they need someone to review their work until they know the business well enough to be trusted.
AI needs that same kind of supervision. It can be fast, helpful, and surprisingly good at making messy work easier to manage. But it doesn’t understand your client relationships, compliance obligations, internal policies, or the difference between “this sounds right” and “this is actually true.” That is where businesses get into trouble. Microsoft’s 2024 Work Trend Index found that 75% of global knowledge workers were already using AI at work, and 78% of AI users were bringing their own AI tools to work. At small and medium-sized companies, that “bring your own AI” number was even higher at 80%.
In other words, if your business has not talked about AI yet, that does not mean your team is not using it. It may just mean they are using it without you knowing.
What Happens When AI Has No Rules
When AI tools show up without a plan, three problems tend to follow.
The first is unintentional data sharing.
An employee pastes part of a client contract into a free AI tool because they want a quick summary. Someone uploads financial numbers to help format a report. A team member drops employee information into a chatbot to draft an internal memo. They aren’t trying to create a security problem, they’re trying to get work done. But once that information leaves your approved systems, your business may lose visibility and control over where it is stored, how it is processed, and who can access it.
The second problem is shadow AI.
Shadow AI is the AI version of shadow IT. It means employees are using tools the business did not approve, IT cannot see, and leadership has not reviewed. BlackFog’s 2026 Shadow AI research found that 49% of respondents reported using AI tools at work that were not sanctioned by their employer. Among those using unapproved AI tools, 58% relied on free versions that may lack enterprise-grade security, data governance, and privacy protections.
For instance if you are a manufacturer, that could mean production data, vendor pricing, customer drawings, or internal process documents ending up in tools no one vetted. For a professional services firm, it could mean client records, contracts, legal language, financials, or private emails being copied into platforms with unknown terms.
The third problem is false confidence.
AI is very good at sounding right. That does not mean it is right. It can summarize the wrong thing, misunderstand context, invent sources, statistics, quotes, or details that never existed. These errors are often called hallucinations, but the bigger issue is not the term. The bigger issue is that AI-generated work can look polished enough to slip through.
That has already caused real consequences. In May 2026, Reuters reported that a federal judge suspended an attorney from practicing in his court for six months after finding that a filing included false quotations and that the attorney interfered with an inquiry into whether AI had been used. The article also noted that lawyers are not prohibited from using AI, but they are still responsible for verifying the accuracy of their work.
That lesson applies outside of law, too.
If AI helps write a proposal, someone still needs to verify the claims. If it drafts a policy, someone still needs to review it. If it summarizes a contract, someone still needs to confirm the summary matches the actual document. AI doesn’t remove responsibility. It just speeds up the work that still needs to be checked, just like that intern.
AI Needs Guardrails, Not a Ban
The answer isn’t banning AI. That’s usually unrealistic, and it can put your team at a disadvantage. AI can be useful, especially for small and mid-sized businesses where employees are already wearing multiple hats.
The better answer is to give people clear rules. Start with an approved tools list. Decide which AI tools are acceptable for business use and which are not. This does not need to be complicated. A simple internal list is better than everyone guessing.
Next, define what employees should never put into public or consumer-grade AI tools. Client names, contracts, financial data, employee records, passwords, confidential emails, proprietary drawings, compliance documentation, and customer lists should all be treated carefully. If your team does not know where the line is, they may cross it without realizing it.
Then build in a human review step. AI can draft, summarize and organize. But a person should approve anything that goes to a client, vendor, regulator, employee, or the public. It also helps to review permissions. If an AI tool connects to email, cloud storage, your CRM, project management software, or Microsoft 365 environment, you need to know what it can access. AI tools are not just “writing helpers” anymore. Some can connect to business systems, pull information, and act across applications.
Finally, train your team in plain English. Not everyone needs a deep technical lesson. They need practical examples: “Do use AI for this. Do not use AI for that. Ask before connecting a new tool. Verify facts before sending anything out.”
NIST’s AI Risk Management Framework is a helpful reference for organizations that want a more formal and in depth approach to managing AI risk. But most small businesses can begin with the basics: visibility, access control, data rules, and human review.
AI Is Already Here. The Policy Needs to Catch Up.
For businesses in Southeast Michigan, AI is not some far-off technology trend. It’s already in the workplace. It’s in the tools your employees use, the apps vendors are adding to their platforms, and the shortcuts people find when they are trying to move faster. And that can be a good thing. But only if your business knows what is being used, what data is being shared, and who is checking the output before it becomes a client-facing problem.
And AI shouldn’t be treated like a mysterious threat. It should be treated like a powerful new employee: useful, fast, and capable, but still in need of supervision. This article isn’t saying you need a giant AI committee or a 40-page policy. But it does mean businesses need a basic plan.
If your team is already using AI, now is the time to put basic guardrails in place. TAZ Networks helps small and mid-sized businesses in Southeast Michigan make practical IT, cybersecurity, and compliance decisions without making technology more complicated than it needs to be.
Want to know what AI tools your team may already be using and where your business data could be exposed? Contact TAZ Networks or schedule a quick discovery call to get started. And if you know another business owner who has handed the AI intern the keys without realizing it, send this their way.
The businesses that struggle with AI will not necessarily be the ones that used it. They’ll be the ones that never decided how it should be used.