PublishedOctober 19, 2026
Last reviewedOctober 19, 2026
Editorial ownerFounder, Fortera Labs
Review status✓ Human-approved
AI assistedYes — disclosed
Sources4 cited
Back to Insights
GenAI GovernanceAI PolicySmall BusinessResponsible AICustomer Data5 min

How to Use AI Responsibly as a Small Business Owner

Fewer than one in five of the smallest firms report using AI, so you can still set the rules before habits harden. Federal guidance asks for three things: protect customer data, check every output, and tell customers the truth.

Fortera Governance PracticeReviewed by Founder, Fortera Labs · Last reviewed October 19, 2026

You do not need a legal team or a compliance budget to use AI responsibly. You need a short list of things you will never type into an AI tool, one person who checks what comes out, and a plain statement to customers about how you use it.

Most small businesses are still early, so the rules you set now will stick

If you have not settled into a routine with AI yet, you are in good company. The U.S. Census Bureau’s Business Trends and Outlook Survey asks businesses whether they used AI in any business function “in the past two weeks.” In a May 2026 analysis, the Bureau reported a national rate of 19.8% as of May 3, 2026. Among firms with four or fewer employees, less than 20% reported using AI, and among firms with at least 250 employees the figure was 37%.

That gap works in your favor. Habits form fast around any tool your staff finds useful, and a rule is far easier to introduce before the habit exists than after. The guidance below comes from U.S. sources: the Small Business Administration (SBA), the National Institute of Standards and Technology (NIST) and the Federal Trade Commission (FTC), as summarized by a law firm that tracks it.

Three risks decide what you keep out, who checks the answer, and what you tell customers

Sensitive data leaves your control. The SBA’s guidance for small businesses is direct: “Try not to feed any sensitive data or proprietary information.” NIST, the federal standards agency, names the underlying risk in its Generative AI Profile (AI 600-1), published in July 2024. It describes a data privacy risk of leakage, unauthorized use and disclosure of personal and sensitive information. In practice, this means a customer’s health details, a pasted contract, or a list of account numbers does not belong in a chat window.

The tool will state wrong things with confidence. The same NIST profile calls this confabulation: a tool can “generate and confidently present erroneous or false content in response to prompts.” A wrong delivery date, an invented policy or a made-up price looks exactly as polished as a correct one. The SBA’s answer is a person: it advises you to “Make sure a person assesses all the messages and outreach campaigns that AI generates.”

Here is what that looks like on an ordinary Tuesday. You ask a tool to draft a reply to a customer who wants a refund. The draft cites a thirty-day return window, but your policy says fourteen days. If the draft goes out unread, you have just promised something you never offered. If your reviewer compares it against your policy page first, the error costs ten seconds.

A person, not the tool, should be the last one to read anything a customer will see.

A person, not the tool, should be the last one to read anything a customer will see.

Customers must not be misled about what they are dealing with. A Fenwick & West analysis of the FTC’s guidance, “FTC Outlines Five Don’ts for AI Chatbots,” published in July 2024, lists what the agency has warned against. The first is misrepresenting what a chatbot is or what it can do: the FTC told businesses “not to use automated tools to mislead people about what they’re seeing, hearing, or reading.” Another warns against quietly changing data terms: the FTC cautioned that “surreptitiously adopting more permissive data policies” could be unfair or deceptive. The SBA adds a plain-language remedy: “Consider drafting a public statement that discloses how your small business uses AI,” noting that disclosure “is becoming an expected best practice.”

You can put responsible use in place this week by following five steps

Set aside two hours. You can finish all five before the weekend, and none needs special software.

  1. Write your keep-out list (20 minutes). List what never goes into an AI tool: customer financial or health details, employee records, passwords, signed contracts and anything you promised a client to keep private. Add the list to your onboarding notes so every new hire sees it.
  2. Name one reviewer (10 minutes). Pick the person who reads AI-written text before it reaches a customer, a vendor or the public. In a business of one, that person is you, reading it again tomorrow morning.
  3. Set one checking rule (15 minutes). Every number, date, price and policy an AI tool states gets confirmed against your own records before it goes out. The tool drafts; you verify.
  4. Publish a short AI statement (30 minutes). Write three or four sentences for your website or invoices: which tasks you use AI for, that a person reviews the results, and how customers can reach a human. Keep it in plain words.
  5. Check your tools’ settings and terms (45 minutes). For each AI tool your team uses, open the privacy settings and look for options that stop your inputs from being used to train the product. Note the date, and recheck whenever the vendor emails you about new terms.

Keep the records light. A single shared document with your keep-out list, your reviewer’s name, your public statement and the dates you checked each tool’s settings is enough. If a customer, a lender or an insurer ever asks how you manage AI, you can answer in one minute and show them the page.

After that, set a calendar reminder for the first Monday of every quarter to re-read your keep-out list and your statement. The SBA also warns that phishing campaigns may now be written with AI, so add one line to your staff routine: confirm any request to move money or share data by calling a number you already have on file.

Responsible AI at your size is a short list, one reviewer and an honest sentence on your website. Write all three this week, while the habits are still yours to shape.

Source basis

  1. 01U.S. Small Business AdministrationAI for small business: guidance on using AI tools, protecting sensitive data and disclosing AI use
  2. 02U.S. Census BureauLarge Firms With at Least 20 Employees Biggest AI Users: Business Trends and Outlook Survey analysis
  3. 03National Institute of Standards and TechnologyNIST AI 600-1: Artificial Intelligence Risk Management Framework, Generative AI Profile
  4. 04Fenwick & West LLPFTC Outlines Five Don'ts for AI Chatbots

Related reading

Working through a governance question like this one?

Talk to the practice