A small business AI acceptable use policy should do more than say “use AI carefully” or ban it outright. It should explain which tools employees can use, what information they may enter, what work needs human review, and how to raise a concern.
A practical policy gives staff a safe path to use AI for appropriate tasks while keeping people accountable for decisions and final work. Treat the checklist below as a starting point, then adapt it to your business, the tools you use, and any requirements that apply to your industry.
Start with ownership and purpose
Name a person or role responsible for maintaining the policy and the approved-tool list. That owner does not need to evaluate every tool alone, but should coordinate input from the people responsible for technology, security, operations, and compliance.
State why the business permits AI use and what it is meant to support. For example, employees might use approved tools to organize public information, draft internal outlines, or summarize nonconfidential material. Make clear that AI is an aid, not a replacement for professional judgment or employee accountability.
Risk-based governance is a useful way to structure this work. The NIST AI Risk Management Framework offers a framework for considering AI risks across its use and management.
Set rules for approved tools and accounts
Do not rely on a general instruction to “use approved AI.” Tell employees where to find the current list and how to request a review when a tool is not listed. For each approved tool, document its intended business uses, the account or configuration employees should use, and any restrictions.
Before approving a tool, have the reviewer check its relevant settings and terms. Consider how the tool handles submitted information, including data retention, sharing, and whether information may be reused to improve the service. Check access controls and whether the business can manage employee accounts. These details can differ between products and account types, so do not assume that every version offers the same protections.
Give employees a simple approval route. A request can identify the tool, the work it would support, the information employees expect to submit, and the person responsible for reviewing its output. Ask staff not to enter business information into a new tool until it has been reviewed.
Classify information before it goes into a tool
A short information guide helps employees make decisions in the moment. Define categories in language your team already uses, and provide examples from your own work. A useful starting structure is:
- Public: Information the business has intentionally made public. Employees may use it with an approved tool when the task is allowed.
- Internal: Nonpublic material used for routine operations. Allow it only when the approved tool and account are suitable for that use, and the policy permits the task.
- Confidential: Customer, employee, financial, business, or contract information that should not be submitted unless a designated reviewer has approved the specific tool, setting, and use.
- Restricted: Highly sensitive information, such as credentials, security secrets, or protected records. Set a default rule against submitting it to AI tools unless the business has expressly approved a specific use and safeguards.
Be concrete about what staff should keep out of unapproved tools. Examples may include passwords, access tokens, private customer or employee records, confidential contracts, nonpublic financial information, and sensitive security details. Tailor the examples to the information your business actually handles.
Where a task can be completed with less sensitive information, direct employees to remove identifying details or use a general description. If they are unsure which category applies, the safest instruction is to pause and ask the policy owner.
Define allowed tasks and human review
List permitted uses alongside restricted or prohibited ones. The policy might allow drafting or summarizing low-risk material while requiring separate approval for uses involving confidential information or consequential decisions. Avoid vague language that leaves employees to guess whether a particular task is acceptable.
Assign a human reviewer before AI-assisted work is sent to a customer or used in a decision. The reviewer should check whether the output is accurate, complete, appropriate for its audience, and consistent with the source material. They should also look for unsupported statements, errors, or information that should not be disclosed.
Set stronger review expectations when work could affect customers, clients, patients, students, finances, legal matters, or employment decisions. AI output should not be treated as verified simply because it sounds polished. Identify who owns the final work, and make sure that person has the expertise and authority to approve it.
Give employees clear responsibilities
Explain that employees are responsible for following the approved-tool and data rules, checking AI-assisted work, and correcting mistakes before use. Ask them to be transparent with a manager when AI materially contributed to work, when a task involves sensitive information, or when they are uncertain about an output.
Provide basic training when the policy is introduced and when approved tools or expectations change. Training should use realistic examples: what information is okay to submit, how to request approval, how to verify an answer, and where to report a concern.
Include a response process for accidental disclosure or other policy violations. Tell staff to stop using the tool for that task, report what happened promptly to the designated contact, and share what information and account were involved. The business can then assess the situation and follow its established incident and notification procedures. Employees should not try to conceal or independently investigate a possible exposure.
Add requirements relevant to your industry
A general policy may not cover every obligation that applies to your organization. Businesses working with health information, student information, legal matters, financial records, or other regulated data should have the appropriate compliance or professional reviewer assess the proposed AI use before it begins.
For example, Zevonix lists support for HIPAA and GDPR requirements, but an organization should still assess how its own obligations apply to each tool and workflow. For education settings, the U.S. Department of Education’s guidance on using online tools in a course highlights the need to consider student privacy. Lawyers should also review relevant professional responsibilities; the Florida Bar’s Opinion 24-1 addresses lawyers’ use of generative AI.
For additional background on local technology and compliance planning, see Zevonix’s overview of IT compliance considerations for Daytona businesses. This general article is not a substitute for advice about your organization’s specific obligations.
Keep the policy current
Set a recurring review process rather than treating the policy as a one-time document. Reassess the approved tools, their settings, and their permitted uses when the business changes tools, introduces a new workflow, or identifies a problem. Give employees a way to suggest changes and report confusing instructions.
Review any customer-facing use separately. Decide whether customers should be told when AI materially contributes to a service or communication, based on the context, your commitments, and applicable requirements. Make sure employees know who can approve that decision and what wording or process to follow.
AI use policy checklist
- Name a policy owner and state the business purpose for AI use.
- Keep a current list of approved tools, accounts, settings, and permitted tasks.
- Provide a straightforward process to request approval for a new tool or use.
- Classify information and give staff examples of what not to submit.
- Assign a human reviewer for AI-assisted work, with stronger review for higher-impact tasks.
- Train employees and provide a clear way to report mistakes or possible exposure.
- Review customer transparency, industry requirements, and the policy as tools or workflows change.
Frequently asked questions
Which AI tools should a small business approve?
Approve tools only after a designated reviewer has assessed the intended task, account settings, information handling, access controls, and relevant terms. Give employees a current list and a way to request review of other tools.
Who is responsible for checking AI-generated work?
The employee accountable for the final work should verify it before it is used. For higher-impact work, name a qualified reviewer and make the review requirement explicit.
How often should the policy and approved-tool list be reviewed?
Set a recurring review and revisit the policy when a tool, setting, workflow, or business requirement changes, or when an incident reveals a gap. The review owner should keep the list and instructions accessible to staff.
What should an employee do after entering sensitive information into an AI tool?
They should promptly stop the task and report the incident through the business’s designated channel. The organization can assess what was entered, which tool and account were involved, and what response steps are appropriate.
Make safe AI use part of everyday work
A useful policy makes expectations clear without treating every AI task as the same. Start with approved tools, practical data categories, human accountability, and a process for questions and incidents, then refine the rules as your needs evolve.
Zevonix offers managed AI services alongside managed IT and technology services. To discuss how a practical AI-use policy could fit your business, call (386) 260-0777.