Your employees are using AI tools to get their work done faster. That's mostly a good thing. But the data they're feeding into those tools? That's where it gets complicated.
Right now, somewhere in your organization, an employee is pasting client data into ChatGPT to write a summary. Another is uploading a financial spreadsheet to an AI tool to generate analysis. A third is using a free AI tier, one that explicitly trains on user inputs, to draft a legal communication.
None of them are doing it maliciously. They're doing it because it works, nobody told them not to, and there's no policy saying they shouldn't.
The gap isn't behavior, it's documentation. Most employees would follow a clear policy. The problem is the policy doesn't exist yet.
A sales rep pastes a full client contract into ChatGPT to get a quick summary before a call. The contract contains PII, confidential terms, and proprietary pricing. That data is now in a third-party AI system, potentially stored, potentially used for model training.
An HR manager uploads a spreadsheet of employee salary data to an AI tool to "clean it up and analyze patterns." The tool is a free tier product. The terms of service allow the provider to use inputs for training. Employee compensation data is now training data.
A developer pastes proprietary source code into an AI coding assistant to debug a function. The code contains business logic that represents years of competitive advantage. It's now sitting in a third-party system with unclear retention policies.
Many AI tools operate on a tiered model: the free version is funded partly by using your inputs as training data. This isn't hidden, it's usually buried in the terms of service that nobody reads.
OpenAI, Google, and most major AI providers offer opt-out options for enterprise plans but not free tiers. If your employees are using personal ChatGPT Free accounts for work, your company data may be improving a competitor's AI model.
The fix is simple: require company-licensed accounts for AI tool use, and specify this in your AI Acceptable Use Policy.
The consequences of unmanaged AI tool use range from embarrassing to catastrophic:
This doesn't need to be 50 pages. A clear, plain-English policy that defines approved tools, prohibited data inputs, human review requirements, and consequences for violations is what you need. Employees can't follow a policy that doesn't exist.
Build a list of approved AI tools, their approved use cases, and whether employees may use personal accounts or only company-licensed accounts. "Use AI tools responsibly" is not a policy, named tools with defined permissions is a policy.
Policy without training is a document nobody reads. A short 15-minute session covering what can and can't go into AI tools, what the approved tools are, and what happens if someone violates the policy goes a long way. Repeat it annually.
Our AI Acceptable Use Policy template covers approved tools, data classification rules, prohibited uses, human review requirements, disclosure obligations, and enforcement, written in plain English with fill-in-the-blank placeholders throughout.
Get the Template, $15 →AI tools aren't going away, and you shouldn't want them to. The productivity gains are real. But "we didn't have a policy" is not a defense you want to use with a regulator, a client, or a judge.
The window to get ahead of this is now, while AI governance is still being established rather than enforced. Organizations that put clear policies in place today will be in a far stronger position than those scrambling to respond after an incident.
Your employees don't know what they don't know. That's your job to fix.
All 110 NIST SP 800-171 practices organized by domain - formatted for assessment prep. Free PDF, instant access.