Your employees are resourceful. When a process feels slow or a tool feels limited, they look for ways to work faster.
Today, that often means using artificial intelligence tools. An employee may ask an AI platform to summarize a document, draft an email, analyze a spreadsheet, or help respond to a customer question. From their perspective, they are simply trying to be productive.
The problem begins when those tools have not been reviewed or approved by the business. This is known as shadow AI, and it is becoming a real concern for small and mid-sized organizations.
The goal should not be to block innovation. The goal is to give employees safe, approved ways to use AI without putting company data at risk.
What is shadow AI?
Shadow AI refers to the use of artificial intelligence tools without the organization’s knowledge or approval.
It is similar to the older issue of employees using unapproved software, but AI adds a new risk because these tools often process or train their AI models on information entered by users.
For example, an employee might paste a client email, financial summary, contract language, or internal report into an AI tool to save time. They may not realize that sensitive business data could be stored, reviewed, or used in ways the company cannot see or control.
Most employees are not acting carelessly on purpose. They are trying to solve a problem. That is why businesses need clear guidance, not just restrictions.
Why shadow AI matters
- Sensitive data can leave your control: When employees enter company information into an unapproved AI tool, your business may lose visibility into where that data goes, how it is stored, and who can access it. This can include customer information, employee records, internal documents, pricing details, or proprietary processes. According to a recent study, more than a third of employees have shared sensitive work information with AI tools without their employer’s permission.
- Compliance risks can increase: Organizations in healthcare, finance, legal, education, and other regulated industries have additional responsibilities for protecting data. If sensitive information is entered into an unauthorized platform, the business may create compliance exposure without realizing it.
- AI output may be inaccurate: AI tools can produce answers that sound confident but are incorrect. If employees rely on those outputs without review, the business may make decisions or send communications based on flawed information.
- IT loses visibility: Your technology team cannot protect what it cannot see. When employees use unapproved tools, it becomes harder to monitor risk, manage access, and respond quickly if something goes wrong.
Why shadow AI spreads quickly
Shadow AI usually grows because employees see a practical benefit.
They may be trying to:
- Save time on repetitive writing
- Summarize long documents
- Analyze information faster
- Improve customer responses
- Work around slow or outdated internal processes
This is important to understand. Shadow AI is often a signal that employees need better tools or clearer workflows.
When businesses ignore that need, employees will continue finding their own solutions. A safer approach is to provide approved options and clear rules.
How to bring shadow AI under control
Managing shadow AI does not need to be overwhelming. A practical approach starts with visibility, policy, training, and approved tools.
- Find out what tools are already being used
Start with an AI usage review. Identify which tools employees are using, what they are using them for, and whether any sensitive information may be involved.
This gives leadership a clear starting point instead of relying on assumptions.
2. Create a clear AI use policy
Employees need simple guidance they can follow.
Your policy should explain:
- Which AI tools are approved
- What types of data should never be entered into AI tools
- Who approves new AI platforms
- How employees should review AI-generated content
- What to do if they accidentally share sensitive information
The best policies are practical and easy to understand.
3. Provide safe, approved alternatives
Employees turn to unapproved tools when they do not have better options.
Providing approved AI tools gives your team the productivity benefits they want while allowing the business to maintain appropriate security and oversight.
4. Train employees on real-world risks
Training should not be limited to rules. Employees need to understand why the rules matter.
Practical examples help staff recognize risks such as sharing client data, trusting inaccurate AI output, or using tools that do not meet business security standards.
When employees understand the risk, compliance becomes a shared responsibility.
5. Review AI use regularly
AI tools and features are changing quickly. A policy created once and forgotten will not stay effective.
Schedule regular reviews of approved tools, access settings, employee usage, and new business needs. This keeps your AI approach aligned with both productivity and security.
The right goal: safe adoption, not avoidance
AI can be useful. It can help employees save time, improve communication, and reduce manual work. But without structure, it can also create unnecessary risk.
The most effective businesses will not be the ones that ignore AI or allow every tool without review. They will be the ones that create a clear, secure path for employees to use AI responsibly.
That balance protects company data while still supporting innovation.
Partnering for practical AI governance
At Fidelis, we help organizations across the Pacific Northwest adopt technology in ways that support productivity, security, and long-term stability.
We can help you identify current AI risks, create practical usage policies, evaluate approved tools, and put safeguards in place so your team can work efficiently without exposing sensitive information.
If shadow AI is already showing up in your organization, now is the right time to bring it into the open and manage it thoughtfully.
Contact Fidelis to start building an AI strategy that supports your people, protects your data, and aligns with your business goals.
