|
Here is something that is happening inside nearly every business right now, regardless of whether leadership is aware of it: employees are pasting company data into AI tools to get work done faster.
They are not doing anything wrong, at least not intentionally. They are just trying to be efficient. But the data they are sharing, and where that data ends up, is a problem that most businesses have not addressed.
This week we want to walk you through exactly what is happening, what the real risks are, and what you can do about it without shutting down productivity in the process.
What Gets Shared and Where It Goes
When an employee copies a client email into ChatGPT to draft a response, pastes a contract into an AI summarizer to pull out the key terms, or uploads a spreadsheet of customer data into an AI tool to analyze trends, they are sending that information to a third-party server.
Depending on the tool and how it is configured, that data may be:
- Stored on the AI provider's servers and potentially reviewed by their staff for quality and safety purposes
- Used to train future versions of the AI model
- Retained and potentially accessible if the provider experiences a data breach
- Subject to the provider's own terms of service and privacy policies, which most users never read
The free and consumer versions of popular AI tools are the highest risk here. They were not designed for business data. They do not have data processing agreements, they do not meet the security standards most businesses need, and they do not give your organization any control over what happens to the information once it is submitted.
What Types of Data Are Typically at Risk
In our experience working with small and mid-sized businesses across multiple industries, the categories of data most commonly put at risk through unsanctioned AI use are:
-
Client and customer information. Names, contact details, project details, financial information, and communication history.
-
Internal financial data. Revenue figures, cost structures, budget documents, and pricing strategies.
-
Contracts and proposals. The language, terms, and pricing in these documents is often competitively sensitive.
-
Employee information. HR documents, performance reviews, compensation data, and personal details.
-
Proprietary processes and methodologies. The internal knowledge that differentiates your firm from competitors.
For businesses in regulated industries, including healthcare-adjacent organizations, firms that handle financial data, and government contractors, the risks extend beyond competitive exposure to include potential regulatory violations and compliance liability.
Three Things to Put in Place Right Now
1. An AI Acceptable Use Policy. This does not need to be a lengthy document. It needs to clearly define which AI tools are approved for business use, what categories of data employees should never put into an AI tool, and what the consequences are for policy violations. Without a written policy, you cannot hold anyone accountable, and employees have no clear guidance on what is and is not acceptable.
2. Business-grade AI tools with proper data agreements. Microsoft Copilot, Google Gemini for Workspace, and similar enterprise-grade tools are designed with business data protection in mind. They include data processing agreements, do not train their models on your business data by default, and operate within a security framework your IT provider can configure and monitor. Steering your team toward these tools is the single highest-impact move most businesses can make on this issue.
3. Training that explains the why, not just the rules. Telling employees they cannot use certain AI tools without explaining why tends to drive the behavior underground rather than stopping it. A 30-minute team session that explains what data privacy means, why it matters for the business and their own job security, and which tools are approved goes much further than a policy document that sits unread in a shared folder.
A quick gut-check question to ask your team:
"If this document contained our client's private information, would I be comfortable knowing it was stored on a server we don't control?" If the answer is no, it should not go into a consumer AI tool.
The Bottom Line
The data your business generates is one of your most valuable and most vulnerable assets. AI tools that your employees use without oversight are an open door to that data. Closing that door does not mean banning AI. It means putting the right guardrails in place so your team can use AI safely and your business stays protected. This is exactly the kind of guidance we provide, and we are happy to walk through your current situation with you.
| 
