What to Include in a Basic AI Policy for Your Business

AI tools are already showing up in everyday business work.

Team members may use AI to draft emails, summarize notes, rewrite messages, brainstorm ideas, compare options, or organize rough information. Some of that use may be helpful. Some of it may create risk if expectations are unclear.

That is why even a simple AI policy can be useful.

A basic AI policy does not need to be long, complicated, or filled with legal language. For many businesses, the first version should be a practical internal guide that explains how AI tools may be used, what should be avoided, what needs human review, and how sensitive information should be handled.

This guide explains what to include in a basic AI policy before your team starts using AI more broadly.

Start with the purpose of the policy

A good AI policy should begin by explaining why it exists.

The purpose is not to scare people away from AI or pretend every situation can be predicted. The purpose is to give the team a shared starting point.

A simple purpose statement might explain that the policy is intended to:

• Encourage responsible AI use
• Protect customer, client, employee, and business information
• Support consistent review of AI-assisted output
• Clarify what types of use are acceptable
• Reduce confusion about tools, prompts, and data
• Help the team use AI as a planning and drafting aid, not a replacement for judgment

The policy should make clear that AI tools can support work, but people remain responsible for reviewing outputs before they are used.

Define acceptable AI uses

The policy should explain which AI uses are generally allowed.

This section helps team members understand where AI can be useful without guessing.

Acceptable uses may include:

• Drafting internal notes
• Rewriting text for clarity
• Summarizing non-sensitive information
• Brainstorming ideas
• Creating checklist drafts
• Organizing rough notes
• Preparing first drafts for review
• Explaining concepts at a general level
• Generating planning questions
• Improving prompt structure

The wording should stay practical. For example:

“Team members may use approved AI tools to help draft, organize, summarize, or improve non-sensitive business content, provided the output is reviewed before use.”

This gives the team permission to use AI in review-friendly ways.

Define restricted or prohibited uses

A useful AI policy should also explain what not to do.

This section is especially important because many AI risks come from unclear boundaries. Team members may not know whether they can paste customer information into a tool, rely on an AI answer, or use AI output without checking it.

Restricted uses may include:

• Entering confidential customer or client information into unapproved tools
• Uploading private company documents without permission
• Using AI output as final legal, financial, HR, compliance, brokerage, lease, or professional advice
• Allowing AI to make decisions without human review
• Sending AI-generated messages without checking accuracy and tone
• Creating misleading, discriminatory, or deceptive content
• Using tools that have not been reviewed when sensitive information is involved
• Treating AI-generated facts as verified without confirmation

This section does not need to cover every possible scenario. It should give the team enough boundaries to avoid obvious misuse.

Clarify data handling rules

Data handling is one of the most important parts of a basic AI policy.

The policy should explain what information can and cannot be entered into AI tools.

For many businesses, the safest starting point is to tell employees not to enter sensitive, confidential, regulated, or personally identifiable information into public AI tools unless the business has approved that use.

The policy can include examples of information that should be protected, such as:

• Customer or client details
• Employee information
• Financial records
• Contracts or legal documents
• Login credentials
• Internal strategy documents
• Private communications
• Health, financial, or regulated data
• Proprietary business information

A simple rule can help:

“If you would not share the information publicly or with an unapproved vendor, do not paste it into an AI tool without permission.”

The policy should also encourage redaction. If someone wants help rewriting or summarizing a situation, they may be able to remove names, addresses, account numbers, and other identifying details first.

Explain human review requirements

AI-assisted output should usually be reviewed before it is used.

This is one of the clearest expectations to include in an AI policy.

The policy should explain that team members are responsible for checking AI output for:

• Accuracy
• Completeness
• Tone
• Context
• Missing details
• Unsupported claims
• Outdated information
• Customer impact
• Compliance or professional concerns
• Alignment with company standards

This is especially important for communication, planning, and customer-facing work.

A useful policy statement might say:

“AI-generated or AI-assisted output must be reviewed by a responsible team member before it is shared, published, sent, or used to support a business decision.”

That keeps the role of AI clear. It can help prepare work, but it does not remove the review step.

Identify approved tools

If your business uses specific AI tools, the policy should identify which tools are approved.

This does not need to be complicated. The policy can include a short section that says:

• Which tools are currently approved
• Who approves new tools
• What employees should do before using a new AI platform
• Whether free public tools are allowed for non-sensitive work
• Whether paid tools are required for certain use cases

This section helps prevent tool sprawl. It also supports better cost control, security review, and workflow consistency.

If you are not ready to maintain a formal approved-tool list, you can start with a simple instruction:

“Before using a new AI tool for business work involving company, customer, or client information, confirm that the tool is approved for that use.”

That is still useful as a starting point.

Set expectations for accuracy

AI tools can produce confident but incorrect answers.

A basic AI policy should make that clear.

Team members should know that AI output may include:

• Incorrect facts
• Missing context
• Outdated information
• Overgeneralized recommendations
• Unsupported assumptions
• Incomplete summaries
• Fabricated citations or details

The policy should tell users not to rely on AI as the only source of truth for important claims.

For example:

“AI output should be treated as a draft or planning aid. Team members are responsible for verifying important facts, figures, claims, and recommendations before using the output.”

This protects the business from treating polished language as verified information.

Cover customer-facing communication

If AI may be used to draft emails, messages, proposals, FAQs, website copy, or support responses, the policy should include customer-facing communication rules.

The policy can require that customer-facing AI-assisted content be checked for:

• Accuracy
• Tone
• Completeness
• Brand fit
• Promises or guarantees
• Sensitive details
• Professional standards
• Required disclaimers or approvals

It can also state that AI should not be used to send messages automatically without review.

For the EmerickTech tools context, this distinction matters. AI can help create drafts, planning guides, and suggested next steps, but the business should still review outputs before use.

Address professional and regulated topics

Some topics require extra caution.

Depending on the business, AI output may touch areas such as legal, financial, medical, HR, compliance, brokerage, property management, lease, contract, or tax-related issues.

A basic AI policy should state that AI output is not a substitute for professional guidance in those areas.

For example:

“AI tools may help organize questions or prepare draft materials for review, but they should not be used as a replacement for legal, financial, HR, compliance, or other professional advice.”

This helps clarify the boundary between workflow support and expert judgment.

Include accountability

A good policy should answer a simple question: who is responsible for the output?

The answer should not be “the AI.”

The team member using the AI tool remains responsible for reviewing and validating the result. Managers may also be responsible for setting expectations, approving workflows, and deciding which tools are appropriate.

The policy can include language such as:

“Team members are responsible for reviewing AI-assisted work before using it. AI tools do not replace individual responsibility, manager review, or professional judgment.”

That keeps accountability clear.

Explain what to do when unsure

No policy can cover every AI situation.

A practical policy should tell team members what to do when they are unsure.

This section can be simple:

• Do not enter sensitive information if you are unsure
• Ask a manager before using a new AI tool
• Pause before using AI output for high-impact decisions
• Get appropriate review for customer-facing or professional content
• Document questions that come up so the policy can improve over time

This makes the policy more usable. It gives employees a safe next step instead of expecting them to interpret every edge case alone.

Keep the first policy simple

Many businesses delay creating an AI policy because they think it needs to be perfect.

It does not.

A basic AI policy can start with a few practical sections:

• Purpose
• Acceptable uses
• Restricted uses
• Data handling
• Human review
• Approved tools
• Accuracy expectations
• Customer-facing communication
• Professional guidance limits
• Accountability
• Questions and escalation

The first version should be easy to understand and easy to update.

As your business learns more about how AI is being used, the policy can become more specific.

Use a starter generator before writing from scratch

Creating an AI policy from a blank page can be difficult.

The EmerickTech AI Policy Starter Generator is designed to help with the first draft. It can help organize policy sections, clarify usage expectations, and create a starting point your business can review.

The result should be treated as a planning guide, not legal or compliance advice. Every business has different requirements, and some industries need more formal review.

But for many businesses, a starter policy is better than having no guidance at all.

A practical example

Imagine a small business where employees occasionally use AI to draft customer emails and summarize internal meeting notes.

A basic policy might say:

• AI may be used to draft and organize non-sensitive content
• Customer-identifying information should not be pasted into unapproved tools
• AI-generated drafts must be reviewed before sending
• AI should not be used for legal, financial, HR, or compliance conclusions
• New tools should be approved before being used with business data
• Employees should ask a manager if they are unsure

That simple policy already creates more clarity than informal, inconsistent AI use.

It does not need to solve every future question. It gives the team a responsible starting point.

Final checklist for a basic AI policy

Before using an AI policy internally, check whether it explains:

• Why the policy exists
• What AI uses are allowed
• What AI uses are restricted
• What data should not be entered into AI tools
• Which tools are approved or how tools get approved
• When human review is required
• How to handle customer-facing content
• How to treat professional or regulated topics
• Who is responsible for AI-assisted output
• What to do when someone is unsure

If the policy answers those questions clearly, it can help your team use AI more consistently and responsibly.