Artificial intelligence may already be part of your workplace, even if your organization has never formally adopted an AI platform.
Employees can access tools such as ChatGPT, Microsoft Copilot, Google Gemini, and Claude in seconds. AI features are also appearing inside applications businesses already use for email, meetings, writing, design, customer service, and data analysis.
In many cases, employees are experimenting with these tools for perfectly understandable reasons. They want to draft an email more quickly, summarize a document, organize meeting notes, analyze information, or brainstorm an idea.
The problem is not necessarily that employees are using AI. The problem is that business leaders may not know which tools are being used, what information is being entered, or how AI-generated content is affecting business decisions.
What Is Shadow AI?
“Shadow AI” refers to artificial intelligence tools or features used without the knowledge, approval, or oversight of the organization’s IT or security team.
It is an extension of the broader shadow IT problem. Employees often adopt new technology because it is convenient and helps them work more efficiently. However, a tool that is easy to access is not automatically appropriate for business use.
Shadow AI might include an employee:
- Using a personal AI account to summarize an internal document
- Pasting customer information into a public chatbot
- Installing an AI meeting assistant without approval
- Using AI-generated research without verifying its accuracy
- Connecting an AI tool to company email or cloud storage
- Relying on AI features built into an application without understanding what information they can access
These actions may seem harmless, but they can create risks involving privacy, security, compliance, intellectual property, and accuracy.
Why Employees Do Not Always Recognize the Risk
Many AI tools feel like ordinary search engines or writing assistants. That familiarity can make it easy to forget that users may be sending business information to an outside platform.
Employees may not know:
- Whether their prompts or uploaded files are retained
- Whether submitted information may be used to improve a model
- Which security protections are included with a free or personal account
- Whether an AI application has access to other company systems
- How to delete information that has already been submitted
- Whether the output is accurate, current, or appropriate to use
AI can also produce incorrect information in a confident and convincing way. Employees remain responsible for reviewing AI-generated content before it is used in communications, decisions, code, reports, or client work.
The NIST AI Risk Management Framework encourages organizations to approach AI risk through governance, measurement, management, and ongoing evaluation. CISA and its international partners have also published guidance for using AI systems securely, including attention to privacy, intellectual property, inaccurate outputs, and manipulation risks.
Start With Visibility, Not an Immediate Ban
Discovering unsanctioned AI use does not necessarily mean a business should block every AI tool.
An immediate ban can push AI use further out of sight. A more productive first step is to understand how employees are already using it.
Business leaders can begin by asking:
- Which AI tools are employees currently using?
Include standalone platforms as well as AI features embedded in existing applications. - What business tasks are employees using AI to complete?
Common examples may include writing, research, note-taking, summarization, coding, and data analysis. - What information is being entered or uploaded?
Determine whether employees are using confidential, personal, regulated, proprietary, or customer information. - Are employees using personal or company-managed accounts?
Personal and free accounts may not provide the administrative controls, visibility, or contractual protections a business needs. - Is anyone reviewing AI-generated output?
Employees should verify important information rather than assuming the output is reliable. - Has an AI tool been connected to company data or applications?
Integrations with email, cloud storage, document libraries, and other systems require particular attention.
This initial inventory does not have to be complicated. The goal is to replace assumptions with a clearer understanding of what is already happening.
Give Employees a Safe Way to Ask Questions
Employees are more likely to disclose their AI use when the conversation is focused on responsible adoption rather than punishment.
Let your team know that experimentation must happen within reasonable boundaries. Until your organization has formally evaluated and approved specific platforms, employees should avoid placing sensitive business or customer information into public AI tools.
It is also helpful to establish a temporary point of contact for questions. Employees should know whom to ask before installing an AI application, uploading a document, connecting a tool to company systems, or using AI for a sensitive business process.
You Do Not Need a Complete AI Strategy to Get Started
AI governance can eventually include approved tools, business licensing, access controls, acceptable-use policies, employee training, and regular vendor reviews. But your organization does not need to solve every AI question at once.
Start by learning what tools are already in use. Then identify where AI is creating genuine value, where it may introduce risk, and which questions require further review.
V2 Systems is continuing to help clients understand how emerging technology fits within their existing IT, security, cloud, and compliance environments. If you have general questions about AI use in your workplace or want help evaluating how a tool interacts with your current technology, our Managed IT Services team is here to be a resource.
Before your organization races to adopt the next AI tool, take a moment to understand the AI that may already be at work.
