The Small Business Administration and its resource partners have spent the summer offering programs on where artificial intelligence fits into small-business operations. The danger is not that small businesses will ignore the technology. It is that they will begin with an AI strategy before they have identified the operating problem worth solving.
A small business does not need a broad AI vision to begin. It needs one recurring source of friction: a weekly report assembled by hand, inconsistent customer answers, delivery routes that no longer match demand. The owner should document how the work happens today, how often it occurs, what it costs, and what failure looks like before deciding whether AI is the right tool.
The first use case should be consequential enough to matter and contained enough to control. Owners can begin with read-only access, require human approval, and expand permissions only after the process proves reliable. NIST's AI Risk Management Framework uses the functions govern, map, measure, and manage. A small company doesn't need a compliance department to apply the logic, just a named owner, a defined purpose, and a way to test results.
At Stottly Enterprises, we have seen the value of this approach in restaurant and distribution operations. The strongest result was not the presence of AI. It was the return of management time to employees and customers.