How to Write an Employee AI Use Policy: A Template for Small Businesses

Why Your Small Business Needs an Employee AI Use Policy

If your employees are using ChatGPT, Gemini, Midjourney, or other AI tools at work—and let's be honest, they probably are—you need a written policy governing that use. Even if you haven't officially approved these tools, employees are experimenting with AI to draft emails, create presentations, write code, analyze data, and generate content.

Without clear guidelines, your business faces several risks (and the cost of non-compliance can be significant):

Data security breaches: An employee might paste confidential customer information, proprietary business data, or trade secrets into a public AI tool, where it could be stored, used for model training, or potentially exposed.

Inconsistent client work quality: AI-generated content varies widely in accuracy and appropriateness. Without review standards, AI-produced work could go directly to clients with errors, hallucinations, or inappropriate content.

Regulatory compliance gaps: As of 2026, several jurisdictions have specific AI regulations. Colorado's AI Act requires reasonable care to avoid algorithmic discrimination. NYC Local Law 144 governs AI hiring tools. The FTC has made clear that AI use doesn't excuse companies from truth-in-advertising laws or data protection obligations.

Liability exposure: When an employee uses AI in ways that violate privacy laws, copyright protections, or discrimination statutes, your business bears the legal responsibility.

An employee AI use policy establishes clear boundaries, protects your business, and empowers your team to use AI productively and safely.

What to Include in Your Employee AI Use Policy

A comprehensive AI use policy should address six key areas:

1. Approved Tools and Procurement Process

Start by establishing which AI tools your company has vetted and approved for business use. This doesn't mean banning all others, but it creates a clear framework.

Specify your approved tools: List specific platforms employees can use, such as "ChatGPT Enterprise," "Microsoft Copilot," "Grammarly Business," or other tools you've evaluated for security and compliance. Include the specific versions or enterprise plans, as consumer versions often have different data handling practices.

Create a request process: Employees will encounter new AI tools regularly. Establish a simple process for requesting evaluation of new tools—typically through IT or management. This might be as simple as "Submit requests to [email] with the tool name, intended use case, and business justification."

Ban high-risk tools: Explicitly prohibit certain tool types, such as consumer-grade AI tools for handling confidential information, AI tools from unverified sources, or tools that don't provide clear data processing terms.

Example language: "Approved AI tools are listed in Appendix A. Before using any AI tool not on this list for business purposes, employees must submit a request to [designated person/team] for security and compliance review."

2. Prohibited Uses

Clearly articulate what employees cannot do with AI tools, regardless of which platform they're using.

Never input confidential information into unapproved AI tools: This includes customer data, employee personal information, financial records, trade secrets, proprietary algorithms, unpublished business strategies, or any information marked confidential.

Do not use AI for final decision-making: Particularly for consequential decisions about people—hiring, firing, promotions, performance reviews, or customer credit decisions. The Colorado AI Act and similar regulations require human oversight of high-risk AI systems. Your policy should require human review and judgment.

Avoid AI-generated content without disclosure: If you're in regulated industries or client services, specify when AI use must be disclosed. For instance, "When providing professional advice or analysis to clients, disclose if AI tools were used in preparation."

Don't bypass existing policies: Make clear that AI tools don't exempt employees from other company policies around harassment, discrimination, data protection, or intellectual property.

Respect copyright and licensing: Employees shouldn't use AI to reproduce copyrighted materials, create derivative works without authorization, or generate content using prompts that include others' protected work.

3. Data Handling Rules

Create specific protocols for what information can and cannot be shared with AI systems.

Classification system: Establish a simple data classification framework. For example:

• Public information: Can be used in any approved AI tool (published marketing materials, public website content, general industry knowledge)
• Internal information: Requires approved enterprise AI tools with data protection agreements (internal procedures, non-confidential business discussions, draft materials)
• Confidential information: Prohibited from any AI input (customer data, personal information, trade secrets, financial data, strategic plans)

Anonymization requirements: If employees need AI assistance with sensitive data categories, require anonymization first. "Before using AI to analyze customer data patterns, remove all personally identifiable information, account numbers, and other identifying details."

Data residency considerations: If your business serves clients in specific jurisdictions, note any data residency requirements. "When serving EU clients, use only AI tools that process data within EU/EEA data centers or under adequate data transfer mechanisms."

4. Client Work Guidelines

If your business produces work product for clients, establish standards for AI use in client deliverables.

Disclosure requirements: Determine when and how to disclose AI use to clients. Some industries and clients require this; others don't. Our client AI disclosure letter guide provides templates for different situations. Your policy might state: "Inform clients when AI tools are used substantively in their work product, unless the client has explicitly waived this disclosure."

Quality review standards: Require human review of all AI-generated content before it reaches clients. "All AI-generated content must be reviewed, verified for accuracy, and edited by a qualified staff member before delivery to clients."

Intellectual property considerations: Address who owns AI-generated work and verify that your AI tool terms don't conflict with client agreements. "Verify that AI tools used for client work provide appropriate IP assignment and don't retain rights to generated content."

Accuracy verification: Create specific review protocols. "Citations, statistics, and factual claims in AI-generated content must be independently verified before use in client work."

5. Quality Review Requirements

Establish processes for reviewing AI-generated work regardless of the context.

Human-in-the-loop requirement: Make clear that AI is a tool to assist, not replace, human judgment. "All substantive business communications, analysis, and work product must be reviewed and approved by a qualified employee before use or distribution."

Fact-checking protocols: AI systems hallucinate—they confidently state incorrect information. Require verification: "Independently verify all factual claims, statistics, legal citations, and technical specifications produced by AI tools."

Bias detection: Particularly when using AI for hiring, marketing to diverse audiences, or customer-facing decisions, require review for potential bias. "Review AI-generated content that will be used in hiring, customer service, or marketing for potential discriminatory patterns or inappropriate assumptions."

Version control: Maintain records of AI involvement in important documents. "For contracts, policies, or significant business documents, note when AI tools were used in drafting and retain the original AI output and final edited version."

6. Reporting Obligations

Create clear channels for reporting concerns and incidents.

Security incident reporting: "Immediately report to [designated person] if you accidentally input confidential information into an AI tool, suspect a data breach, or observe unusual behavior from an AI system."

Problematic outputs: "Report AI outputs that contain discriminatory content, confidential information from unknown sources, or potentially harmful recommendations to [designated person] for review."

Policy violations: Establish non-punitive reporting (where appropriate) to encourage disclosure. "If you inadvertently violate this policy, report it promptly to [designated person]. Early reporting allows us to mitigate risks and will be considered in any review."

Rolling Out Your AI Use Policy

Having a policy means nothing if employees don't understand and follow it. Implementation matters as much as the policy itself.

Initial Training

Conduct a training session—even a brief 30-minute meeting—to walk employees through the policy when you first introduce it. Cover:

• Why the policy exists (protecting the business and employees)
• Real examples of risks you're trying to prevent
• What approved tools they can use
• The most important "do's and don'ts"
• How to ask questions or request approval for new tools

Make this practical, not legalistic. Share real scenarios employees will face.

Written Acknowledgment

Have employees sign an acknowledgment that they've received, read, and understand the policy. This creates accountability and can be important if policy violations occur. Keep these acknowledgments in personnel files.

A simple acknowledgment statement: "I acknowledge that I have received and read the [Company Name] AI Use Policy dated [date]. I understand the policy requirements and agree to comply with them. I understand I can ask [designated person] questions about this policy at any time."

Regular Updates

AI technology and regulation evolve rapidly. Schedule policy reviews at least annually, or more frequently if:

• New AI regulations take effect in jurisdictions where you operate
• Your business adopts new AI tools
• You experience a policy violation or security incident
• Industry-specific guidance emerges for your sector

When you update the policy, communicate changes clearly and provide refresher training on new provisions.

Making It Accessible

Don't bury your policy in an employee handbook that no one reads. Make it easily accessible:

• Post it on your company intranet or shared drive
• Include it in onboarding materials for new employees
• Reference it in your general technology use policy
• Create a one-page "quick reference" version with the most critical do's and don'ts

Common Employee Scenarios (and How to Address Them)

Your policy should help employees navigate real situations they'll encounter. Consider including a Q&A section or scenario guide:

Scenario 1: "I want to use ChatGPT to draft a client proposal. Is that okay?"

Guidance: If ChatGPT is an approved tool and you're not inputting confidential client information, you can use it to create a draft outline or initial content. However, you must thoroughly review and edit the output, verify all factual claims, customize it for the specific client's needs, and ensure it accurately represents our services. Consider disclosing AI assistance to the client depending on your relationship and industry norms.

Scenario 2: "Can I use an AI tool to analyze our customer data to find trends?"

Guidance: Only if you use an approved enterprise AI tool with appropriate data protection agreements and you first anonymize the data by removing personally identifiable information. Do not use consumer AI tools for any analysis involving customer data, even if anonymized.

Scenario 3: "I'm reviewing resumes for an open position. Can I use AI to screen candidates?"

Guidance: You may use approved AI tools to help organize or summarize applications, but you cannot rely solely on AI scoring or ranking for hiring decisions. All substantive screening and selection decisions must involve human review and judgment. This is required under NYC Local Law 144 and similar regulations, and protects against algorithmic discrimination.

Scenario 4: "An AI tool generated an image I want to use in our marketing. Are there copyright issues?" (See our full guide on AI-generated images disclosure)

Guidance: AI-generated images present complex IP questions. Before using AI-generated images externally, have [designated person] review: (1) whether the AI tool's terms grant us rights to use the image commercially, (2) whether the prompt potentially used copyrighted material, and (3) whether the output resembles existing copyrighted works. When possible, use AI image tools that provide clear commercial licensing.

Scenario 5: "I accidentally pasted confidential customer information into an AI chat. What do I do?"

Guidance: Immediately stop using that AI session, report the incident to [designated person], and note which AI tool and what type of information was shared. We'll assess whether notification to affected customers or regulators is required. Early reporting allows us to respond appropriately.

Template Outline: Employee AI Use Policy

Here's a customizable template structure for your employee AI use policy:

[COMPANY NAME] EMPLOYEE ARTIFICIAL INTELLIGENCE USE POLICY

Effective Date: [Date]

1. Purpose and Scope

• Why this policy exists
• Who it applies to (all employees, contractors, etc.)
• What AI tools and systems are covered

2. Definitions

• Artificial Intelligence tools (with examples)
• Confidential Information (reference existing data classification)
• Approved AI tools vs. unapproved tools

3. Approved AI Tools

• List of approved tools for business use
• Process for requesting evaluation of new tools
• Procurement requirements (who can purchase/subscribe)

4. Permitted Uses

• General productivity assistance (drafting, brainstorming, research)
• Content creation with review
• Data analysis with appropriate safeguards
• Specific use cases relevant to your business

5. Prohibited Uses

• Inputting confidential information into unapproved tools
• Using AI for final decision-making on consequential matters
• Bypassing human review requirements
• Copyright infringement
• Creating deceptive or misleading content
• Harassment, discrimination, or policy violations

6. Data Protection Requirements

• What information can/cannot be input into AI tools
• Anonymization requirements
• Data classification reference
• Client data handling rules

7. Client Work Standards (if applicable)

• When to disclose AI use to clients
• Review and verification requirements
• Quality standards
• IP ownership considerations

8. Review and Verification Requirements

• Human-in-the-loop requirements
• Fact-checking protocols
• Bias review for specific use cases
• Documentation standards

9. Training and Support

• Initial training requirements
• Resources for questions
• Ongoing education

10. Reporting Obligations

• How to report security incidents
• Reporting problematic AI outputs
• Reporting policy violations
• Non-retaliation for good-faith reporting

11. Compliance and Enforcement

• Monitoring (if applicable)
• Consequences for violations
• Regular policy reviews and updates

12. Questions and Resources

• Who to contact with questions
• Where to find approved tool list
• Link to relevant company policies

Appendix A: Approved AI Tools [List with tool name, approved version, acceptable uses, designated administrator]

Appendix B: Examples and Scenarios [Common situations with guidance]

Keeping Your Policy Current

AI regulation is evolving rapidly. As of February 2026, businesses need to monitor:

State-level developments: Following Colorado's AI Act (effective June 2026), several other states are considering similar legislation addressing algorithmic discrimination, transparency, and consumer rights around consequential AI decisions.

Federal activity: The FTC continues to enforce existing consumer protection laws against AI-related deception and unfair practices. The agency has signaled that AI use doesn't excuse violations of data protection, truth in advertising, or fair lending laws.

Industry-specific guidance: Regulatory agencies are issuing sector-specific AI guidance. Financial services, healthcare, housing, and employment face particular scrutiny.

International influence: Even if you don't operate internationally, EU AI Act requirements are influencing global AI tool development and best practices.

Review your policy at least annually and whenever significant regulatory changes occur in jurisdictions where you operate or where your customers are located.

Making Compliance Manageable

Creating an employee AI use policy doesn't have to be overwhelming. Start with a clear but simple policy that addresses your most significant risks, then refine it as your AI use matures and regulations evolve.

The investment in a clear policy pays dividends: employees know the boundaries, your business is protected from preventable risks, and you're demonstrating the reasonable care that regulators increasingly expect from businesses using AI tools.

Frequently Asked Questions

If you need help creating a customized AI use policy for your business, Attestly can generate compliance documents tailored to your specific situation, industry, and the jurisdictions where you operate. We make it simple to get the policies you need without the complexity or cost of traditional legal services.