Safe AI Use at Work: A Practical Guide
Kalamazoo, MI | October 28th, 2026
This article at a glance:
- AI can improve productivity, but it also introduces new risks.
- Employees should know what information to share with AI and which tools to use.
- Human oversight is essential for keeping AI-generated work accurate and secure.
AI is quickly becoming a part of everyday business. Whether you're using ChatGPT to write emails, Microsoft Copilot to summarize meetings, or another AI tool to organize information, there's a good chance you're already finding ways to work smarter with AI.
But there's a catch.
While AI can save you time, it can also create problems if you don't know how to use it responsibly. Just think about what could happen if an employee accidentally shares confidential customer information with an unapproved AI tool, or sends an AI-generated report to a client without checking whether the information is correct.
And those aren't just hypothetical situations. As AI becomes more common in the workplace, businesses need to start thinking about how they're using it and what safeguards they have in place.
The good news is that you don't need to be an AI expert to use these tools safely. In fact, there are a few simple practices that can make a big difference.
Let's take a look at how you can use AI at work without putting your business at risk.
1. Create an AI Acceptable Use Policy
Before you start integrating AI into your business, you need to establish some ground rules.
Think about it: If you gave every employee access to a new piece of software without explaining how to use it, you'd probably run into some problems. AI is no different.
An AI acceptable-use policy tells employees which tools they can use, what information they're allowed to share, and when they need to involve a human.
Here are a few things your policy should cover:
Approved AI Tools. Which AI platforms are employees allowed to use for work? Are personal accounts permitted, or should employees use company-managed accounts?
Data Restrictions. What information can employees share with AI? Are there restrictions on customer records, financial information, or internal documents?
Appropriate Uses. Which tasks can employees use AI to complete? Are there any tasks that should always be handled by a human?
Review Requirements. When does AI-generated work need to be checked by a supervisor or qualified employee?
Incident Reporting. What should employees do if they accidentally share sensitive information with an AI tool?
Your policy doesn't need to be a 50-page document. In fact, I'd recommend keeping it as simple as possible.
The goal is to make sure everyone understands what's expected of them before they start using AI for everyday business tasks.
2. Never Share Sensitive Information With Unapproved AI Tools
Here's one of the biggest mistakes you can make when using AI: sharing information that you shouldn't.
Most AI tools work by processing the information you give them. For example, you might upload a spreadsheet and ask an AI chatbot to organize the data, or paste an email into a prompt and ask it to write a response.
But have you ever stopped to think about where that information goes?
Depending on the AI provider, subscription, and privacy settings, information you submit may be stored, reviewed, or used to improve AI models. Some business subscriptions offer additional privacy protections, but you shouldn't assume every AI tool handles your data the same way.
So, what should you avoid sharing?
As a general rule, employees shouldn't enter the following information into unapproved AI platforms:
Customer names, addresses, phone numbers, or other personally identifiable information.
Employee records, payroll information, or personnel documents.
Passwords, authentication codes, and other login credentials.
Financial records, banking information, or confidential business documents.
Proprietary information, trade secrets, and internal business strategies.
Sensitive customer communications or confidential contracts.
Let's say you're an accountant who wants to use AI to summarize a client's financial records. Instead of uploading the original documents, you might be able to accomplish the same task using anonymized information.
That way, you get the benefits of AI without unnecessarily exposing sensitive data.
Before using an AI tool for business purposes, check its privacy policy and data-handling settings. If you're unsure whether a particular platform is appropriate for company information, ask your IT team.
3. Stick to Approved AI Tools
Not all AI tools are created equal.
Some platforms are designed for individual consumers, while others offer business-specific features like centralized account management, administrative controls, and additional data protections.
For example, using a personal AI account to process company documents isn't necessarily the same as using an approved business subscription.
Even when two tools offer similar AI capabilities, they might handle your information very differently.
When evaluating an AI platform for your business, here are a few things to look for:
Data Privacy: How does the provider collect, store, and process your information?
Model Training: Can your submitted information be used to train or improve AI models?
Access Controls: Can your company manage employee accounts and restrict access?
Authentication: Does the platform support multi-factor authentication (MFA)?
Compliance: Does the provider offer the contractual protections your business needs?
Data Retention: How long does the provider retain submitted information, and can it be deleted?
If you're already using Microsoft 365, for instance, you might want to explore Microsoft Copilot rather than having employees sign up for several unrelated AI platforms.
The point isn't that one AI tool is automatically safer than another. It's that your business should know what it's using and why.
4. Don't Trust Everything AI Tells You
AI is incredibly good at communicating information. Unfortunately, that doesn't mean it's always right.
One of the biggest problems with AI is something called a hallucination. This happens when an AI generates information that sounds convincing but is actually incorrect or entirely made up.
And here's what makes hallucinations particularly dangerous: They're not always easy to recognize.
Imagine asking an AI chatbot to research a potential business partner. It might give you a detailed report containing statistics, company information, and references. But what happens if some of those statistics are outdated or the references don't actually exist?
If you don't check the information yourself, you could end up making an important business decision based on something that was never true.
That's why you should always verify AI-generated information before relying on it.
Here are a few things to double-check:
Statistics and Numbers: Verify financial calculations, percentages, and other numerical information.
Sources: Make sure cited articles, studies, and websites actually exist and support the claims being made.
Dates and Names: Check important dates, company names, employee names, and other specific details.
Summaries: Compare AI-generated summaries against the original documents to make sure nothing important was left out.
Recommendations: Don't automatically accept AI's recommendations, especially when they involve financial, legal, or technical decisions.
AI can be a great research assistant, but it shouldn't be your only source of information.
5. Keep Humans in the Decision-Making Process
One of the biggest advantages of AI is that it can take some of the work off your plate. But that doesn't mean you should hand over every responsibility to an AI system.
Some tasks are relatively low-risk. For example, using AI to organize meeting notes or draft an internal announcement probably doesn't require much oversight.
Other tasks are considerably more important.
Think about decisions involving:
Hiring, promotions, and employee performance.
Financial planning and business investments.
Legal agreements and compliance requirements.
Cybersecurity and IT infrastructure.
Sensitive customer complaints and communications.
These are situations where human judgment is essential.
AI can help you organize information, identify patterns, and explore potential solutions. But it doesn't understand your entire business, and it can't always recognize the consequences of its recommendations.
For example, an AI tool might help a hiring manager organize resumes, but it shouldn't independently decide who gets hired. Likewise, an AI-generated cybersecurity recommendation shouldn't automatically be implemented without review from an IT professional.
A good rule of thumb is to let AI assist with the work while keeping humans responsible for the decisions.
6. Watch Out for AI-Powered Scams
So far, we've focused on the risks of using AI. But there's another side to the story: Cybercriminals are using AI, too.
In fact, AI is making some traditional cyberattacks considerably more convincing.
For example, phishing emails used to be relatively easy to identify because they were often poorly written, contained spelling mistakes, or came from suspicious-looking email addresses.
Today, AI can help cybercriminals generate polished, personalized messages that are much harder to distinguish from legitimate communications.
And it doesn't stop at emails.
With AI-powered voice cloning, scammers can imitate the voices of real people. Some can even create convincing video impersonations using deepfake technology.
Imagine receiving a phone call from someone who sounds exactly like your manager, asking you to urgently transfer money to a new vendor account. Would you know whether the request was legitimate?
That's why it's important to establish verification procedures for unusual requests.
Here are a few ways to protect your business:
Verify Payment Requests: Confirm unusual payment instructions through a separate, trusted communication channel.
Use MFA: Require multi-factor authentication on important business accounts.
Be Careful With Links: Don't automatically trust emails or messages just because they appear to come from someone you know.
Establish Verification Procedures: Create a process for confirming requests involving money, sensitive information, or account access.
Train Employees: Teach your team how to recognize phishing attempts, impersonation scams, and suspicious communications.
Remember, just because a voice or message sounds familiar doesn't mean it's legitimate.
7. Train Your Employees on Responsible AI Use
Having an AI policy is a great start, but it won't do much good if nobody knows what it says.
That's why employee education is such an important part of responsible AI adoption.
Your employees don't need to understand the technical details behind every AI model. But they should know how to use these tools appropriately and recognize when something might be wrong.
Consider providing training on topics like:
Recognizing sensitive information that shouldn't be shared with AI.
Understanding which AI tools are approved for business use.
Identifying inaccurate or misleading AI-generated information.
Recognizing AI-assisted phishing and impersonation attempts.
Knowing when human review is necessary.
Reporting potential security incidents.
You should also revisit your training periodically.
AI is evolving quickly, and the tools your employees use today might have entirely different capabilities a year from now. Your policies and training should evolve alongside them.
Using AI Safely is a Balancing Act
AI has the potential to make your business more productive, efficient, and competitive. But like any other technology, it comes with responsibilities.
The goal isn't to eliminate AI from your workplace or make employees afraid to use it. It's to give them the knowledge and tools they need to use it effectively without creating unnecessary risks.
And remember, responsible AI adoption isn't just about protecting your data. It's also about protecting your employees, your customers, and the business you've worked hard to build.
Need Help Navigating AI?
As AI becomes a bigger part of everyday business, having the right IT support is more important than ever.
At Omega Computer Services, we help small and midsize businesses navigate today's technology challenges through cybersecurity, IT support, strategic planning, and employee education.
Whether you're developing an AI acceptable-use policy or looking to strengthen your organization's cybersecurity, our team can help you make informed technology decisions.
For more information, contact Omega Computer Services today!
