AI Policy for Employee Handbooks: Clauses and Review Steps

An AI policy for an employee handbook should tell employees which tools they may use, what information they may enter, what needs human review, and where to ask for help. Write a short handbook rule supported by a maintained approved-tool list and clear procedures for exceptions and incidents.

The clauses below are a draft for a US employer to review with HR, security, and employment counsel. fenbs can retain the approved decisions and rules alongside shared work, so staff and connected assistants can start from the same current instructions.

What belongs in the handbook rather than a tool guide?

Put enduring expectations in the handbook: accountability, information boundaries, review responsibilities, and escalation. Keep changing details in a separate approved-tool register. Employees should not need a handbook amendment to learn that a service configuration changed or a new use was approved.

Define AI in recognizable terms, including features that summarize meetings, draft text, generate images, or suggest code inside existing applications. Specify whether the policy covers contractors through their agreements. Name an owner who can answer questions when a manager and the approved list give conflicting instructions.

The broader AI policy guide covers organizational policy design; this page focuses on clauses employees can read and apply. Keep examples close to actual work rather than listing every possible future technology.

What handbook clauses can you copy and adapt?

Replace bracketed fields and resolve overlaps with your existing confidentiality, acceptable-use, accommodation, records, and reporting policies. These are proposed employer rules, not a statement that every clause is required by law. Counsel should review the complete policy in context before publication.

• Purpose and scope: [Employer] allows approved AI assistance to support work while protecting people, information, and work quality. This policy applies to employee use of AI for company work, including AI features in existing software.
• Approved tools and accounts: Use only the services, work accounts, settings, and activities listed in [approved-tool register]. Ask [contact] before using a new service, enabling a connector, or extending an approved tool to a new type of information.
• Permitted work: Within those approvals, you may use AI for activities such as brainstorming from public material, preparing an internal outline, or improving a draft. Permission to draft does not authorize sending, publishing, purchasing, or changing company systems.
• Restricted inputs: Do not enter credentials, customer personal information, restricted financial data, trade secrets, or sensitive employee records unless the specific workflow has written approval from [authority]. Check attachments, screenshots, meeting recordings, and connected folders as well as text prompts.
• Human review: You remain responsible for work you use or submit. Check material facts, calculations, citations, permissions, and tone. The designated owner must approve consequential communications and actions before they occur.
• Employment decisions: Do not use AI to screen candidates, rank employees, recommend discipline, or make other consequential employment judgments without a separately reviewed and authorized process. Refer questions and accommodation requests to [HR contact].
• Disclosure and records: Tell the reviewer when AI contributed materially to work requiring review. Follow company records rules and legal holds. Do not create an unnecessary archive of sensitive prompts or output.
• Questions and incidents: Ask [contact] when permission or input sensitivity is unclear. Stop the affected activity and promptly report suspected exposure, harmful output, or unauthorized action through [reporting channel]. Do not try to conceal or repair an incident without guidance.
• Exceptions and rights: Exceptions require written approval with a purpose, limits, and end date. This policy does not restrict legally protected discussions of wages or working conditions, lawful reporting, or other protected activity. Apply it consistently with applicable law and existing accommodation procedures.

Add the policy owner, approval date, effective date, and next review trigger outside the clauses. Explain what happens when instructions conflict: employees should pause the affected AI activity and contact the named owner. A manager’s convenience should not silently expand an approved data boundary.

How do you make information restrictions understandable?

Give employees examples with a permitted alternative. “No confidential data” is hard to apply when someone is unsure whether an ordinary support email counts. Name the information categories, where to check their classification, and which team can approve a proposed use.

The FTC’s security guidance↗ (opens in a new tab) emphasizes knowing what personal information you hold, keeping only what you need, limiting access, and planning for incidents. Apply that thinking to AI inputs instead of treating a prompt box as separate from your information systems.

Record approved examples and their scope in fenbs Decisions and rules. Keep personal information out of those examples, and link to the authoritative employee-facing policy instead of maintaining competing versions.

What employment rights and accessibility checks matter?

Avoid turning a broad information rule into a restriction on protected employee activity. The NLRB explains↗ (opens in a new tab) that covered employees have rights to act together about wages and working conditions. Ask counsel to examine the actual wording and application, rather than relying on a general savings sentence alone.

Keep a usable accommodation route. EEOC guidance↗ (opens in a new tab) explains reasonable accommodation obligations for covered employers. An employee should know whom to contact when a required AI-enabled workflow creates an accessibility barrier, without being asked to enter medical details into an assistant.

Hiring and personnel systems need more than this handbook clause. The Justice Department’s AI hiring guidance↗ (opens in a new tab) explains how assessment technologies can unlawfully screen out qualified people with disabilities. Route those proposed uses to a separate evaluation of job relevance, accessibility, accommodation, and applicable requirements.

How should you introduce and review the policy?

Test the draft with a new employee and a manager. Ask each to decide whether a public summary, a customer attachment, and a performance note may enter an assistant. If their answers differ, improve the examples and approval route before requesting acknowledgment.

Provide practical instruction through AI training for employees, and use the workplace AI guide for a small approved trial. The AI brain explainer describes how retained work context can keep later sessions consistent.

How to do this with fenbs

1. Create a free account and add an employee AI policy project.
2. Add tasks for HR, security, legal, and accessibility review, using fictional examples rather than employee records.
3. Record the policy decisions people approve, their reasons, and the scope of each rule. Keep unresolved exceptions open for the responsible person.
4. Ask connected assistants to read the rules before drafting guidance and save progress with remaining reviews and next steps.

fenbs is not an HR records system, handbook acknowledgment service, or automatic monitor of employee AI use. Keep those processes in their approved systems. Review this policy after a meaningful workflow change or incident; the AI governance hub covers related questions.