A Simple AI Policy for Small Businesses

A simple AI policy for a small business should say which tools are approved, what data is prohibited, when human review is required, which meeting types may be recorded, who approves new AI workflows, and what staff should do when they are unsure. It does not need to be long, but it must be specific enough that employees can make a good decision during normal work.

The policy should reduce confusion, not bury people in legal language. Plain examples matter more than broad warnings.

It should also be short enough to use during a real workday. Staff should be able to scan it before summarizing a call, drafting an email, installing a browser extension, or trying a new AI feature inside an existing application.

What The Policy Needs To Cover

Start with five practical rules: approved tools, prohibited data, allowed uses, review requirements, and escalation. Staff need to know what they can use today, what they cannot paste into AI, which tasks are acceptable, which outputs need approval, and where to ask questions.

This short structure works better than a policy that tries to predict every future tool. AI products will change. The business still needs stable rules for data, judgement, and accountability.

Approved Tools And Accounts

Name the tools staff may use for business work. Include whether personal accounts are allowed, whether only company-managed accounts may be used, and who controls access. If different tools are approved for different tasks, say that clearly.

For example, a company might allow one approved business AI tool for internal drafts and a separate meeting assistant for approved internal meetings. It might prohibit personal AI accounts for client material. The exact answer depends on the business, but staff should not have to guess.

Prohibited Data Examples

The policy should list data that staff must not enter into unapproved AI tools. Use examples that match the business:

• Passwords, API keys, recovery codes, and administrator information.
• Client confidential data, contracts, private correspondence, and account details.
• Employee records, HR issues, payroll details, resumes, and performance notes.
• Financial reports, banking data, tax records, invoices, payment details, and margin-sensitive pricing.
• Legal matters, disputes, privileged communication, and regulatory questions.
• Security incidents, vulnerability reports, network diagrams, and cyber insurance material.

Where possible, explain how staff can use generic prompts instead. They may be able to ask for help improving an email style without including the real client thread.

The policy should include examples of approved substitutions. Replace a client name with “the customer,” remove invoice numbers, summarize the situation in general terms, and avoid uploading files when a short generic prompt will do.

Business Scenario: Staff Already Use AI Informally

A small office discovers that staff are using several AI tools. One person uses a chatbot to polish emails, another uploads meeting transcripts, and a third uses a browser extension to summarize web pages. Nobody is acting maliciously; they are trying to work faster.

The business does not ban AI. It publishes a one-page policy. Personal accounts are limited to public or generic information. Client data and employee data are prohibited in unapproved tools. Approved meeting notes require participant notice and human review. New tools must be checked before connecting calendars, email, or file storage. The policy turns scattered behaviour into a managed habit.

Starter Policy Checklist

• List approved AI tools and whether personal accounts are allowed.
• Define acceptable uses such as brainstorming, drafting internal notes, summarizing public information, or organizing non-sensitive text.
• List prohibited data with business-specific examples.
• Require human review before client communication, HR, legal, financial, security, or contract-related output is used.
• Set rules for AI meeting recording, notice, transcript storage, and sharing.
• Name the person or role that approves new AI tools and workflow exceptions.
• Explain how staff should report a mistake, accidental upload, or uncertain situation.

Common Policy Mistakes

• Writing a policy so vague that staff still do not know what to paste into a tool.
• Focusing only on chatbots while ignoring meeting assistants, browser extensions, plugins, and AI features inside existing software.
• Allowing tools to connect to files or calendars without an approval step.
• Forgetting to explain what staff should do when AI gives a wrong or questionable answer.
• Creating a policy once and never updating it as tools and workflows change.

Next Step: Publish A One-Page Version

Draft the policy in one page and test it against five real staff tasks. If employees can understand what is allowed, what is prohibited, and who to ask, the policy is probably ready for a first rollout. Review it again after the first month of questions.

OnlineV can help build staff-ready guidance through AI Readiness and Training. Related articles: What Data Should Never Go Into Public AI Tools?, How To Choose AI Tools Safely for a Small Business, and Practical AI insights.