I have conversations with business owners all the time who tell me, “We’re not really using AI yet.”
Then we talk for a few minutes.
Someone is using ChatGPT to help write an email. Someone else is summarizing meeting notes. Another employee has installed a browser extension that helps write or summarize things. Maybe somebody is uploading spreadsheets because they want help finding patterns in the data.
The company may not have officially adopted AI, but AI is already part of the workday.
That makes sense. If somebody finds a tool that helps them get through a task faster, they’re going to use it again. Most employees are not trying to create a security problem. They are trying to save time and do a better job.
The problem is that the business may not know what information is being entered, where it is going, or what the tool does with it afterward.
For example, suppose an employee receives a long customer email and pastes it into a public AI tool to help draft a response. The tool produces a useful answer in a few seconds, and the employee saves fifteen minutes.
A few days later, they do the same thing with another customer email.
Then somebody uploads a proposal because they want a summary. Another employee uses an AI tool to analyze a spreadsheet. Someone else installs a browser extension without realizing that it can read the pages they visit.
None of this feels particularly dangerous in the moment. It feels like using a productivity tool.
But customer information, financial details, internal documents, employee information, and business plans can end up in systems the company has never reviewed or approved. That can happen without anyone making a bad decision on purpose.
AI spreads differently than most business software.
A new accounting system usually goes through a buying process. A new CRM gets discussed, evaluated, and approved before the company starts using it. AI tools are often discovered by individual employees while they are trying to solve a problem during the workday. If the tool works, adoption happens immediately.
By the time management starts discussing an AI policy, employees may already have favorite tools and established habits.
That is where the conversation can get uncomfortable. An employee may honestly believe the tool is helping them do their job better. If management suddenly says, “You cannot use that,” the employee may not understand the reason. From their perspective, they were solving a problem. They were not trying to bypass the company.
So I would not start this conversation by assuming people are doing something wrong.
I would start by finding out what is actually happening.
Ask your team which AI tools they are using and what they are using them for. Then decide what information can be entered into each tool, what information must stay inside approved systems, and which tools should not be used at all.
Your policy does not need to be complicated. It should answer a few practical questions:
- Which AI tools are approved?
- What information should never be pasted or uploaded?
- Who reviews a tool before employees start using it?
- When does an AI-generated answer need to be checked by a person?
- What should an employee do if they are not sure whether something is safe to share?
The goal is not to stop your team from using AI. In many cases, that would be unrealistic and probably counterproductive. The goal is to give people enough direction that they can use helpful tools without accidentally sharing information the business needs to protect.
I think most businesses should treat this as an ordinary technology and management issue, not as a reason to panic. First find out what is being used. Then set reasonable boundaries. After that, look for the AI uses that actually save time or improve the work.
If you have never asked your team which AI tools they are using, the answers may surprise you. That conversation is a good place to start.
If you would like help reviewing how AI is being used across your business, we would be happy to have a conversation and help you identify where the benefits and risks are.