In our last post, we talked about why unmanaged AI use by employees, often called “shadow AI,” is one of the most overlooked security risks facing small businesses today. If you have not read Why Your Employees Are Your Biggest AI Security Risk yet, start there.
Now let’s talk about what to do about it.
The answer is not to ban AI tools. That approach is unrealistic, and it works against you. Your competitors are using AI to move faster, and your employees will find ways to use it regardless of what a memo says. The real answer is a clear, practical AI usage policy that sets boundaries without killing productivity.
Here is how to build one, even if you have never written a workplace policy before.
What is an AI usage policy?
An AI usage policy is a written document that defines how employees at your company are permitted to use artificial intelligence tools. It covers which tools are approved, what types of data can be used with AI, and what happens when the rules get broken.
Think of it like your internet usage policy or your bring-your-own-device policy. It is a guardrail, not a roadblock.
This is not a theoretical risk. IBM’s 2025 Cost of a Data Breach Report found that one in five breached organizations had been compromised through shadow AI, unsanctioned tools employees adopted without IT oversight, and those incidents added roughly $670,000 to the average breach cost. That is the exact gap a written policy closes.
Step 1: Find out what your team is already using
Before you write a single word of policy, find out what is already happening. Talk to your team informally and ask what AI tools they use, what tasks they use them for, and whether they have ever entered customer or business data into one. Most owners are surprised by the answer.
Step 2: Classify your business data
Not all data carries the same risk, and a practical policy is built around that difference:
- Public data. Already publicly available: marketing materials, published pricing.
- Internal data. Used internally but not secret: process documents, general meeting notes.
- Confidential data. Could cause real harm if exposed: customer PII, financial records, employee HR data, contracts, legal documents.
Once that is defined, the policy gets simple: AI tools can be used freely with public data, carefully with internal data, and not at all with confidential data unless a specifically approved and secured tool is in place.
Step 3: Build an approved tools list
Identify a short list of tools your business has actually evaluated as safe. When you’re evaluating one, check:
- Data retention. Does the tool store what you type into it?
- Training data usage. Does it use your inputs to train its models?
- Enterprise tier. Business versions, Microsoft 365 Copilot, and ChatGPT Enterprise offer real protections; free versions do not.
- Compliance certifications. Does it meet SOC 2, HIPAA, or whatever standard applies to your industry?
- Access controls. Can you actually manage who has access?
Step 4: Write the policy
Keep it simple and readable. The sections worth including:
- Purpose. Why the policy exists, framed positively, not as a punishment.
- Scope. Every employee, contractor, and anyone touching your business systems.
- Approved tools. The reviewed list, with any conditions attached.
- Data handling rules. What can and cannot go into an AI tool.
- Prohibited uses. Entering customer PII into unapproved tools, letting AI make final calls on regulated decisions, sharing login credentials, that kind of thing.
- Reporting. How employees flag a concern or an accidental data exposure.
- Consequences. A plain statement that violations can lead to disciplinary action.
- Review date. Commit to revisiting it at least once a year.
Step 5: Actually train your team on it
A policy sitting in a drawer does nothing. Roll it out on purpose:
- Hold a short team meeting to walk through it and take questions
- Explain the why behind the rules, not just the rules
- Keep the approved tools list somewhere easy to find
- Fold AI awareness into your annual security training going forward
Step 6: Review it on a schedule
The AI landscape moves faster than any other part of IT right now. Set a reminder to review the policy every six months for the first year, then annually after that.
You do not have to figure this out alone
Writing and rolling out a workplace AI policy touches cybersecurity, data compliance, HR, and IT management all at once. A managed IT partner can assess your current exposure, help you pick the right tools for your team, and build a policy that people actually follow. This is exactly the kind of gap our cybersecurity services are built to close.
Blue Steel Technologies is a veteran-owned managed IT and cybersecurity provider for small businesses of 5 to 75 employees across Oakland, Wayne, Macomb, St. Clair, Sanilac, and Lapeer counties in Michigan. We build practical, no-jargon IT strategies that fit how real businesses actually operate.
Run your free Cyber Score scan or call 810-377-8189.
This post is Part 2 of a two-part series. Read Part 1: Why Your Employees Are Your Biggest AI Security Risk.