AI tools can help employees draft documents, summarize information, organize ideas, and complete routine tasks more efficiently. They can also create avoidable risks when teams use them without clear rules.
An employee may paste confidential information into an unapproved chatbot, rely on an inaccurate output, or start using a new tool without understanding how it handles company data.
A practical AI acceptable use policy helps Akron-area businesses set boundaries without blocking useful tools. The goal is to give employees clear answers: what is allowed, what requires approval, and what should remain off-limits.
Key Takeaways
- Define which information employees must keep out of unapproved AI tools.
- Create clear categories for permitted, restricted, and prohibited use.
- Require human review before AI-assisted work is used or shared.
- Approve tools based on the data and workflow involved.
- Review the policy as tools, risks, and business needs change.
Start With the Purpose of the Policy
An AI acceptable use policy should make daily decisions easier.
Employees should understand:
- Which AI tools they can use.
- Which tasks are appropriate for AI assistance.
- Which data must remain private.
- When manager or IT approval is required.
- Who to contact when they are unsure.
- How to report a mistake or potential exposure.
Our guide to creating an AI acceptable use policy for employees explains how businesses can turn unmanaged AI use into a clearer governance process.
Define Which Data Employees Must Protect
Data handling is one of the most important parts of an AI policy.
Before approving an AI workflow, identify the information your business handles and decide what employees may enter into each tool.
The Federal Trade Commission’s data-security guidance for businesses recommends taking stock of sensitive information, limiting unnecessary access, and protecting the data a company keeps.
Your policy may prohibit employees from entering the following information into unapproved AI tools:
- Customer or client personal information.
- Employee records.
- Passwords, login credentials, or security codes.
- Financial account information.
- Contracts and legal documents.
- Confidential pricing.
- Proprietary processes.
- Trade secrets.
- Information covered by a nondisclosure agreement.
- Regulated or industry-specific data.
The exact list should reflect your business. A healthcare organization, accounting firm, law office, manufacturer, and retailer will not have identical requirements.
Set Clear Rules for Approved Tools
Employees should not have to guess whether a tool is safe for business use.
Maintain a simple list of approved AI applications and explain:
- Which tasks each tool may support.
- Which data categories employees use with it.
- Whether employees must use a company-managed account.
- Whether specific features or integrations are restricted.
- Which team owns approval and access management.
Avoid assuming that every enterprise AI tool provides the same protections. Review the vendor’s terms, privacy controls, retention settings, security features, and data-processing commitments before approving a workflow.
Our guide to choosing the right AI tool for your business outlines a practical review process.
Use Risk Categories Employees Can Apply
A policy built only around product names can become outdated quickly. Add categories that help employees evaluate new situations.
Permitted Use
These are low-risk tasks that do not involve confidential, personal, regulated, or proprietary information.
Examples may include:
- Brainstorming general ideas.
- Improving the structure of a non-confidential document.
- Drafting a routine email without sensitive details.
- Creating a meeting agenda.
- Summarizing public information.
- Generating questions for a discussion.
Employees should still review the output before using it.
Permitted Use With Review
These tasks may support routine business work but require closer attention to accuracy, tone, and context.
Examples may include:
- Drafting internal documentation.
- Creating templates.
- Organizing non-confidential meeting notes.
- Preparing a checklist.
- Summarizing a non-confidential report.
- Drafting marketing content.
The employee remains responsible for the final work.
Restricted Use
These activities require approval because they may involve sensitive data, customer-facing decisions, or higher-risk workflows.
Examples may include:
- Working with client information.
- Processing financial data.
- Reviewing contracts.
- Using AI in hiring or HR workflows.
- Connecting an AI tool to a business application.
- Automating a customer-facing process.
- Using AI to support a compliance-related decision.
Restricted use does not always mean prohibited use. It means the business should review the tool, data flow, and workflow first.
Prohibited Use
Some actions should remain off-limits unless the company has approved a specific tool and process.
Examples include:
- Entering passwords or security credentials into an AI tool.
- Uploading employee records to an unapproved application.
- Sharing confidential client information with a public chatbot.
- Publishing AI-generated claims without checking their accuracy.
- Using AI output as the final basis for a legal, financial, or compliance decision without qualified review.
- Creating deceptive content or impersonating another person or business.
Address Regulated Data Carefully
Not every business handles regulated data, and not every data-processing agreement works the same way.
For example, organizations subject to HIPAA may need a Business Associate Agreement when a service provider creates, receives, maintains, or transmits protected health information on their behalf. The U.S. Department of Health and Human Services explains when those agreements apply.
Other industries may have different contractual, regulatory, or client requirements.
Your policy should state that employees may not use AI tools with regulated data until the workflow has been reviewed by the appropriate internal team and, when necessary, qualified legal counsel.
Require Human Review
AI output should be treated as a draft, not a final answer.
Before using or sharing AI-assisted work, employees should review:
- Facts and figures.
- Names and dates.
- Links and sources.
- Client-specific details.
- Tone and context.
- Compliance requirements.
- Recommendations that could affect a business decision.
Higher-risk work needs a higher level of review. A brainstorming list should not follow the same approval process as a client-facing recommendation or a compliance document.
Clarify Disclosure Expectations
A blanket rule requiring disclosure every time an employee uses AI may be difficult to apply.
Instead, explain when disclosure is required.
Examples may include:
- A client contract requires it.
- A platform requires labeling.
- A professional standard applies.
- The use of AI is material to the work.
- The content includes synthetic media.
- The employee is unsure whether the recipient would reasonably expect disclosure.
Employees should know where to ask questions when the answer is unclear.
Address Copyright and Intellectual Property
AI-assisted work can raise intellectual-property questions.
The U.S. Copyright Office’s AI guidance explains that copyright protection depends on sufficient human authorship. Material generated entirely by AI may not receive the same protection as work that includes meaningful human creative contributions.
A practical policy should require employees to:
- Treat AI output as a starting point rather than finished work.
- Review and revise AI-assisted content before using it.
- Avoid uploading copyrighted or proprietary material without approval.
- Check whether the workflow creates licensing or ownership concerns.
- Escalate unclear questions involving high-value content, contracts, or external publication.
Avoid making blanket promises that every AI-generated output belongs to the business or is safe to publish.
Add Security Rules for AI Accounts
AI tools should follow the same account-security standards as other business applications.
Require employees to:
- Use company-managed accounts for approved business workflows.
- Create strong, unique passwords.
- Enable multi-factor authentication when available.
- Avoid sharing credentials.
- Report suspected unauthorized access.
- Remove access during the offboarding process.
- Request approval before connecting an AI tool to another business system.
These steps reduce the risk created by unmanaged accounts and unnecessary access.
Set Conduct Standards
AI-assisted work should meet the same professional standards as any other company communication.
Your policy should prohibit employees from using AI to create:
- Fraudulent communications.
- Fake reviews or testimonials.
- Misleading claims.
- Harassing or discriminatory content.
- Defamatory statements.
- Deceptive synthetic media.
- Content that impersonates another person or business.
The tool may change. The standard should not.
Create a Simple Approval Process
Employees are more likely to follow a policy when the approval process is clear.
Ask employees to provide:
- The name of the AI tool.
- The business task it will support.
- The type of data involved.
- Whether the tool connects to another system.
- Who will review the output.
- Whether the workflow affects customers, employees, or regulated activities.
A lightweight review process helps the business manage risk without creating unnecessary delays.
Use a Risk-Management Framework
A small or mid-sized business does not need an overly complicated AI-governance program. It does need a repeatable way to review risk.
The NIST AI Risk Management Framework gives organizations a useful structure for managing AI risk. Its core functions are:
- Govern: Establish responsibilities, policies, and oversight.
- Map: Understand where AI is used and which risks may apply.
- Measure: Evaluate the impact and severity of those risks.
- Manage: Prioritize actions and monitor results.
For an Akron-area business, that can translate into a straightforward process:
- Inventory the AI tools employees use.
- Identify the data each tool may access.
- Classify the risk level of each workflow.
- Approve, restrict, or prohibit the use case.
- Train employees.
- Review the policy regularly.
Train Employees With Real Examples
A written policy is only the starting point.
Walk employees through realistic examples from their work. Explain what is allowed, what requires approval, and what to do after a mistake.
Training should cover:
- Which tools are approved.
- Which data must remain out of unapproved tools.
- How to classify a use case.
- How to review AI output.
- How to request approval.
- How to report a potential exposure.
- Where to ask questions.
Our guide to AI prompt-security best practices provides examples teams can use during training.
Review the Policy Regularly
AI tools and business workflows change quickly.
Review the policy at least annually and whenever your business:
- Approves a new AI tool.
- Connects AI to another business system.
- Expands AI use into a new department.
- Handles a new type of sensitive data.
- Experiences an incident or near-miss.
- Learns that employees are using an unapproved application.
A periodic AI risk assessment can help identify gaps before they create larger problems.
Build a Policy Your Team Can Use
An effective AI acceptable use policy should be clear enough to guide daily work and flexible enough to adapt as tools change.
Employees should know what they can use, what they must protect, when they need approval, and who can help when a new situation comes up.
At Keystone Technology Consultants, we help Akron-area businesses evaluate AI tools, assess risk, create practical policies, and build safer workflows.
Explore our AI solutions for businesses or start the conversation with our team.
Frequently Asked Questions
What Should an AI Acceptable Use Policy Include?
An AI acceptable use policy should identify approved tools, prohibited data, permitted use cases, restricted activities, review requirements, account-security rules, reporting procedures, and the person or team responsible for questions and approvals.
Should Employees Be Allowed to Use Personal AI Accounts for Work?
Employees should use company-managed accounts for approved business workflows whenever possible. Personal accounts can create visibility, access-management, and data-handling issues.
Does Every AI Tool Need a Business Associate Agreement?
No. A Business Associate Agreement is relevant in specific HIPAA-covered relationships involving protected health information. Other workflows may require different contracts, privacy reviews, or data-processing terms.
Who Should Approve New AI Tools?
The answer depends on the company. IT, security, compliance, HR, legal counsel, and business leadership may all have a role. The policy should identify a clear owner and a simple approval path.
How Often Should the Policy Be Updated?
Review the policy at least annually and whenever the company introduces a new tool, expands a workflow, identifies a new risk, or experiences an incident or near-miss.
