AI Privacy Checklist for Small Business Owners

89 percent of small business owners using AI tools report no concern about negative consequences, according to GoDaddy's 2024 survey of over 500 small business owners. That number is either reassuring or alarming, depending on whether those owners checked anything before clicking accept on a vendor's terms.

Most did not check anything. They either avoided the tools entirely or used them freely, and both groups ended up in roughly the same place: no visibility into where their data goes.

Avoidance is not a privacy strategy

The Gusto 2024 State of Small Business survey, which covered more than 1,300 small business owners, found that Baby Boomer owners are 76 percent less likely to use generative AI than Millennial and Gen Z owners. The hesitant group tends to be older, less digitally experienced, and genuinely worried about data exposure. The response is to ban the tools.

The ban does not hold. Staff use personal ChatGPT accounts anyway. GoDaddy's 2024 microbusiness survey showed AI adoption happening at the staff level regardless of owner preference. The Baker Donelson summary of the 2025 Cost of a Data Breach report confirmed that unmanaged "shadow use" of AI tools raises breach risk. An owner who bans AI has not protected the business. They have removed themselves from the decision about which tools get used and under what terms.

Five signals, all publicly available

OpenAI and Microsoft publish privacy commitments for business accounts, including SOC 2 Type 2 certification, ISO 27001 certification, and explicit restrictions on using business account data to train models. These commitments exist. They sit inside dense legal documents most founders never open. The checklist below is a plain-language translation of what to look for.

Check one: does the vendor restrict use of your data for model training? OpenAI's business and API accounts carry an explicit commitment not to train on user data by default. Consumer accounts do not carry the same protection. The account type matters more than the product name.

Check two: is there an opt-out from training, and is it on by default? Some vendors offer a toggle. Others require a written request. Find out before you paste anything sensitive.

Check three: does the vendor hold SOC 2 Type 2 or ISO 27001 certification? Both OpenAI and Microsoft hold these independently verified certifications. SOC 2 Type 2 means an auditor tested the vendor's security controls over time, not just on a single day. If a vendor cannot point you to a current certificate, that is a signal worth noting.

Check four: what encryption does the vendor apply to data in transit and at rest? The answer should be specific. "We take security seriously" is not an answer.

Check five: do you have the right to delete your data, and how do you exercise it? GDPR and UK data protection law give individuals and businesses deletion rights. Vendors serving European or UK customers are required to honor them. Find the deletion process before you need it.

The objection worth taking seriously

A reasonable critic reads this list and says: the founders most anxious about AI privacy are the same ones least likely to navigate vendor documentation, even with a plain-language guide. That objection is correct as far as it goes.

It fails on one point. The alternative is not a safer outcome. A founder who cannot use this checklist and therefore avoids AI still has staff using personal accounts, still has data leaving the building, and still has no record of where it went. Imperfect verification beats zero verification because at least one of those scenarios produces a paper trail.

The 2025 Cost of a Data Breach report noted that the average U.S. breach cost hit 10.22 million dollars, an all-time high for any region. Small businesses do not absorb that number. They close.

What to do before the next tool adoption

Pull up the vendor's privacy policy and their trust or security page. Search for "training," "SOC 2," "ISO 27001," and "data deletion." If none of those terms appear, contact support and ask directly. Log the response. That log is your documentation if a regulator asks what due diligence you performed.

ENISA and the ICO both publish AI risk guidance for organizations. Neither document is written for a founder with fifteen minutes and a customer invoice open in another tab. This checklist is. The five signals above are the ones those documents ultimately reduce to when you strip out the regulatory scaffolding.