Your Employees Are Using AI At Work. Where Is Your Business Data Going?

An estimator at your New Jersey construction company uploads bid documents to an AI tool to compare costs. Someone in your office pastes a QuickBooks export into a chatbot to help prepare a report. A project manager uses an AI assistant to summarize a customer agreement.

You get a faster estimate, report, or summary. But who checked whether that tool should receive your pricing, financial records, or customer information?

These are hypothetical situations, but they illustrate a practical concern for New Jersey business owners: employees can share company data with AI services before anyone reviews how those services handle it.

That gap is where shadow AI risks begin. Understanding the tools, accounts, and files involved gives you a starting point for reducing exposure without giving up useful AI-assisted tasks.

Why Helpful Shortcuts Can Escape IT Review

Your employees have bids to finish, customers to answer, and deadlines to meet. A tool that saves an hour can quickly become part of their routine.

They may use a personal account they already know. A browser extension or meeting assistant can seem too small to mention to IT. AI features can also appear inside software your company already uses.

As your business grows across offices and job sites, those choices become harder to track. Having an IT provider doesn’t automatically mean every new tool or connection has been reviewed.

You need to know who takes responsibility for that review and what it covers.

What Is Shadow AI?

Shadow AI is the use of AI tools or features for business tasks outside your company’s approved systems and oversight. It’s a form of shadow IT, which includes other technology used without approval.

An employee using ChatGPT or Claude through an unapproved personal account is one example. Others include browser tools, meeting assistants, and connections that let AI search company email or shared files.

Palo Alto Networks’ shadow AI explainer describes how employees can introduce these tools without IT or security involvement. The concern includes both the information submitted and the access granted.

Approving a software platform doesn’t mean every new AI feature within it has been checked.

Three Ways Your Business Data Can Reach AI Tools

Consider how these hypothetical situations could arise at a New Jersey contractor or manufacturer.

Prompts Can Reveal Confidential Pricing

An estimator copies a subcontractor’s email into a chatbot and asks it to summarize the quote.

The prompt could include negotiated rates, project details, contact information, and terms your company wouldn’t normally share outside the bidding process.

The request is simple, but the service receives the details pasted into it. Your staff need to understand which details are appropriate to submit.

File Uploads Can Include More Than The Task Requires

An operations employee uploads a QuickBooks export to explain a change in job costs. The spreadsheet may contain customer balances, employee details, or other financial records beyond the figures needed for that question.

At a manufacturing company, an employee might upload customer specifications to draft a production summary. That file could include proprietary designs or details supplied under a confidentiality agreement.

A short answer from the tool doesn’t mean only a small amount of data was shared.

Connected Apps Can Reach Beyond One Document

An employee connects an AI assistant to a work mailbox or shared cloud folder so it can find project information.

Depending on the permissions granted, the assistant may be able to reach more than the document the employee had in mind. IT needs to review what it can access, which account controls the connection, and how to remove it.

This applies wherever your files sit, including OneDrive, Google Workspace, and Dropbox. Storing documents in a familiar cloud platform doesn’t settle the question of which connected services can reach them.

Where Does The Data Go After It’s Shared?

The answer depends on the provider, product, account, terms, and settings. Review three separate issues:

• Processing: Which companies handle the prompts and files you submit?
• Retention: How long are submissions stored, and what happens when a user deletes a chat?
• Model training: Can submitted information be used to improve or train AI models?

Turning off model training doesn’t, by itself, stop data storage. It also doesn’t remove permissions granted to a connected app. A paid account still needs review.

Uploading a document doesn’t automatically make it public. The question is whether your business has approved the handling of that information and can maintain appropriate control over it.

Shadow AI Risks Affect Customer Trust And Business Control

Your bid pricing, project plans, and manufacturing methods help your business compete. Employee records and customer files contain personal information people trust you to protect.

When those materials enter an unknown account, you may struggle to establish what was shared, who received it, and what can be done next. Even without a confirmed breach, investigating an upload takes time away from running your business.

New Jersey’s guidance on responsible AI use directs state employees to keep confidential or sensitive content out of unapproved public AI tools. It also requires approved tools and agency IT approval before using sensitive personal information. For your business, the same practical principle applies: decide which tools can receive sensitive data before employees share it.

For a New Jersey business owner, the practical question is whether your current IT arrangements account for how employees actually use company information.

Start With Approved Tools, Sharing Rules, And IT Oversight

Stop leaving each employee to decide which services can receive business data. Start by identifying current use, then agree on tools and rules that fit the tasks your staff need to complete.

Review The Tools And Access Already In Use

Ask departments which AI tools they use, which accounts they sign into, and what they submit. Include browser extensions, meeting assistants, and AI features in existing software.

Have your IT provider review vendor handling, account ownership, and connected access before approving sensitive data use. Ask whether data loss prevention, or DLP, controls could help detect or restrict sensitive information sent to unapproved services. Their coverage depends on your systems and settings.

Give Staff Specific Information-Sharing Rules

“Don’t share sensitive data” leaves too much room for interpretation.

Explain how the rules apply to customer specifications, subcontractor pricing, payroll records, and project agreements. Identify approved tools and accounts, allowed tasks, and information that requires review before sharing.

Give employees a way to request approval when they find a useful tool. Name the person they should contact after an accidental upload, and ask them to report it promptly.

Assign Responsibility For Ongoing Reviews

Choose who approves new tools, checks permissions, and revisits those decisions as products change.

Your IT provider should be able to explain which controls it manages and which decisions need your input. Include these questions in regular technology reviews so approval doesn’t become a one-time exercise.

If the discussion reveals wider gaps, our guide to cybersecurity risk assessment deliverables explains what a broader review can cover.

Useful AI Can Start With Less Sensitive Information

If your rules haven’t kept pace with employee use, you can begin with one task.

For example, an estimator could ask an approved tool to organize a generic bid comparison without uploading actual subcontractor quotes. A manufacturing employee could draft a general customer update without submitting proprietary drawings or identifying project details.

Review the task, choose a suitable tool, and explain which information belongs in it. That gives staff a practical alternative while your business reviews more sensitive uses.

Ask Your IT Provider Who Is Reviewing AI Use

At your next IT review, ask:

• Which AI tools and accounts are employees using?
• What company information and connected files can those tools access?
• Who approves tools and checks vendor data handling?
• What happens when someone shares information by mistake?

Use the answers to agree on the first gaps to address. If your provider can’t explain its responsibilities or existing controls, that deserves a closer conversation.

Monmouth Cyber provides managed cybersecurity support for New Jersey businesses, with security at the center of its managed IT services. We help customers identify gaps, prioritize improvements, and revisit their technology through ongoing reviews.

Our local team serves businesses across New Jersey, including construction and manufacturing companies, with remote support and onsite assistance when needed.

If you’re unsure who’s overseeing access to your business data, Book A Free Consultation to discuss your current IT arrangements and security concerns.