“Are we allowed to use ChatGPT for this?”
It’s a question more business owners and managers are hearing.
And the answer isn’t always straightforward.
Some AI tools can help employees work faster, reduce repetitive tasks, and generate new ideas. Others may introduce unnecessary risks when used without the right settings, permissions, or oversight.
So how do you let employees take advantage of AI without leaving your business exposed?
You establish guardrails.
What Are AI Guardrails?
AI guardrails are the policies, procedures, and technical controls that define how artificial intelligence can be used within an organization.
Think of them like the rules your business already has for email, passwords, file sharing, or accessing company information.
Most businesses don’t let employees install any software they want or share confidential information wherever they choose.
AI shouldn’t be treated differently.
But good guardrails aren’t designed to make work harder.
They’re designed to help people understand what’s acceptable, what’s risky, and where they can go for guidance.
Why Every Business Needs an AI Acceptable Use Policy
Without a clear policy, employees are left to make their own decisions.
One employee might use AI exclusively for brainstorming. Another might assume it’s acceptable to upload customer records. Someone else may authorize an AI application to access their entire email account.
The problem is inconsistency.
A practical AI acceptable use policy creates a shared understanding of how AI fits into your business.
And it doesn’t need to be complicated.
Six Guardrails to Put in Place
1. Create an Approved AI Tool List
Identify which AI applications employees can use for business purposes.
Evaluate the tools’ security, privacy, administrative controls, licensing, and compatibility with your existing environment.
Don’t assume that every version of the same AI product provides the same protections.
2. Explain What Information Can Be Shared
Give employees concrete examples.
Generally lower-risk activities might include brainstorming ideas or rewriting content that’s already public, using an approved tool.
Higher-risk activities might involve confidential contracts, patient records, financial data, employee information, and client communications.
Employees should know when a task requires additional approval.
3. Establish a Tool Approval Process
Who decides whether a new AI tool is acceptable?
It might be an internal IT leader, a business owner, or a trusted managed IT partner.
Whatever the arrangement, establish a consistent process for reviewing new applications, browser extensions, and integrations.
4. Require Human Review
AI can produce impressive results, but it can also get things wrong.
Employees should verify facts, review generated content, and apply professional judgment before relying on AI outputs.
This is especially important for legal, financial, medical, and other high-impact decisions.
5. Review Permissions and Connected Applications
An AI application’s capabilities may depend on the business information it can access.
Review connections to Microsoft 365, SharePoint, OneDrive, Teams, email, calendars, and other business platforms.
Pay particular attention to unnecessary permissions, external sharing, and confidential files that are accessible more broadly than intended.
6. Teach Employees What to Do When They’re Unsure
A good policy should answer one simple question:
“Who do I ask before using AI for something new?”
Employees need a straightforward path for requesting approval, reporting accidental disclosures, and asking questions without fear of being blamed for trying to work efficiently.
A Simple Green, Yellow, and Red Approach
Not every AI task needs the same level of oversight.
Here’s one possible starting point for classifying AI use.
| Level | Example | Guidance |
| Green | Brainstorming marketing ideas using non-sensitive information | Use approved tools and review results |
| Yellow | Summarizing internal business documents | Check data classification and obtain approval when required |
| Red | Uploading confidential client records to an unapproved AI service | Do not proceed |
The exact boundaries should reflect your business, industry, regulatory requirements, and approved technology environment.
A task isn’t automatically safe just because it falls into a general category. Context and tool configuration matter.
Don’t Forget Employee Training
Even a well-written policy won’t do much good if nobody understands it.
Keep training practical. Show examples of appropriate prompts, explain what confidential information looks like, and demonstrate how to request an AI tool review.
Revisit the policy as new tools become available or business needs change.
AI governance isn’t a one-time project.
It’s part of maintaining a healthy, secure technology environment.
AI Guardrails Should Support Your Business
The goal isn’t to stop employees from finding better ways to work.
It’s to provide a clear path for using AI responsibly.
At Bacheler Technologies, we believe technology decisions should support your business goals while helping protect the information your clients and employees trust you with.
That’s why we encourage organizations to approach AI with practical policies, thoughtful security reviews, and a proactive technology strategy.
Does your business have the right AI guardrails in place?
BT’s AI Readiness Check & Guardrails Review can help you start identifying what needs attention and what a more responsible approach to AI could look like.