AI Privacy and Data Governance: What Small Business Owners Need to Know

One of the most common questions we hear from business owners when the topic of AI comes up is some version of: “Is it safe? Where does my data go?”

It is a good question. And it deserves a straight answer, not a sales pitch.

Here is what you actually need to know.

Not all AI tools handle your data the same way.

When you use a free or consumer-grade AI tool, your inputs, meaning the text you type, the documents you upload, the questions you ask, may be used to improve that company's model. That is how many of these tools are offered at no cost. For personal use, that trade-off may be acceptable. For business use, especially if you are entering customer information, financial data, or anything sensitive, it is worth reading the terms before you type.

Enterprise versions of the same tools (Microsoft Copilot through a business Microsoft 365 account, for example, or the business tiers of tools like ChatGPT) typically include data processing agreements that say your inputs are not used for training. The privacy protection is there. It just requires the business tier and some attention to setup.

What counts as sensitive data for a small business?

Think about the information you handle every day. Customer names and contact details. Purchase history. Employee records. Financial information. Health information if you are in a related field. Any of these categories warrant care when you are deciding which AI tools to use and how.

The rule of thumb: if you would not want that information shared with a third party, do not enter it into a tool whose data policy you have not reviewed.

What about Indiana-specific rules?

Indiana passed consumer data privacy legislation that gives residents rights around how their personal information is collected and used. If your business collects data from customers, whether through a website, a loyalty program, or a CRM, it is worth knowing what your obligations are under that framework. The law applies to businesses above certain thresholds, but it is a useful lens for thinking about your data practices regardless of size.

Practical steps you can take now.

First, take stock of which AI tools your team is already using. Employees often start using free tools on their own before any formal decision is made. Knowing what is in use is the starting point.

Second, establish a simple policy. It does not have to be complicated. “Do not enter customer personal information into AI tools unless they are approved by ownership” is a reasonable place to start.

Third, review the tools you are considering before you adopt them. Look for a privacy policy or data processing agreement that clearly states your inputs are not used for model training.

Fourth, if you are using AI to communicate with customers, be transparent about it. A simple disclosure goes a long way toward trust.

The bottom line.

Privacy concerns around AI are legitimate, and they are not a reason to avoid these tools entirely. They are a reason to choose carefully and set some basic ground rules before you start. The businesses that do this well will have a significant advantage over the ones that either avoid AI out of fear or adopt it without thinking.