5 Rules Your Business Needs for ChatGPT and AI Tools

ChatGPT and other AI tools offer real benefits for businesses. But without governance, they become liabilities.

Here's the problem: Only 5% of U.S. executives surveyed by KPMG have a mature, responsible AI governance program. Another 49% plan to establish one "in the future." That means most organizations are using AI without clear rules.

If your employees are using ChatGPT--and they probably are, whether you know it or not--here's what your policy needs to cover.

Why AI Needs Governance

Without rules, employees will:

• Paste customer data into public AI tools
• Use AI-generated content without fact-checking
• Share proprietary information with third-party services
• Make decisions based on AI outputs they don't understand

The National Institute of Standards and Technology (NIST) notes that while generative AI can improve decision-making and optimize workflows, it requires proper oversight to manage risks.

The 5 Rules Every AI Policy Needs

Rule 1: Define What's Allowed (and What's Not)

Be explicit about acceptable use:

Typically OK:

• Drafting and editing marketing copy
• Summarizing public information
• Brainstorming ideas
• Code assistance (with review)

Usually NOT OK:

• Entering customer personal data
• Sharing proprietary business information
• Using AI for final decisions without human review
• Generating legal or compliance documents without expert review

Rule 2: Classify Data Sensitivity

Not all information carries the same risk. Define categories:

• Public -- OK to use with any AI tool
• Internal -- Only with approved enterprise AI tools
• Confidential -- Never input into external AI tools
• Restricted -- Customer PII, financial data, health records--off limits

Rule 3: Approve Specific Tools

Create a whitelist of AI tools that meet your security requirements:

• Does the tool use your data for training? (It shouldn't)
• Where is data stored and processed?
• What's the vendor's security certification?
• Can you opt out of data retention?
• Does it integrate with your existing security controls?

Enterprise versions of tools (Microsoft Copilot, ChatGPT Enterprise) typically offer better data protection than free consumer versions.

Rule 4: Require Human Review

AI makes mistakes. Require human verification for:

• Any AI-generated content before publication
• Code before deployment
• Data analysis before business decisions
• Customer-facing communications

The rule is simple: AI assists, humans decide.

Rule 5: Train Your Team

Policies only work if people understand them:

• What data can and can't be used with AI
• How to spot AI hallucinations and errors
• When to escalate to IT or legal
• How to report concerns about AI use

Enforcement: Making It Stick

A policy without enforcement is just a suggestion:

• Technical controls -- Block unapproved AI tools at the network level
• Data Loss Prevention -- Alert when sensitive data is pasted into web forms
• Regular audits -- Review AI tool usage quarterly
• Clear consequences -- Define what happens when policy is violated

Questions to Ask Your IT Provider

• "Can we see which AI tools are being accessed from our network?"
• "Do we have DLP policies that cover AI tool usage?"
• "Are we using enterprise versions of AI tools with data protection?"
• "How would we detect if sensitive data was sent to an AI service?"

The Bottom Line

AI tools are here to stay. The question isn't whether your employees will use them--it's whether they'll use them safely.

A clear policy, approved tools, and visibility into usage lets you get the productivity benefits of AI without the data exposure risks. You should be able to see what tools are being used and what data is flowing to them. If you can't see it, you can't govern it.