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AI Policy

"Use AI Responsibly" Is Not an AI Policy

A useful AI policy replaces vague advice with clear examples of what employees may do, what they should avoid, and where to ask questions.

Explain approved uses

Give employees realistic examples such as brainstorming, outlines, grammar improvement, drafting non-sensitive content, or summarizing approved public information.

Explain restricted information

Define the types of information that should not be placed into unapproved AI systems, including confidential, customer, employee, financial, credential, or proprietary information.

Require appropriate review

Make it clear that AI output is a draft until a responsible person checks important facts, claims, decisions, or customer-facing content.

Provide an approval path

Employees should know who can approve a new AI tool, clarify an uncertain use, or respond when a generated result appears inaccurate or inappropriate.

How McComb Services can help

McComb Services can help organizations apply practical guidance around AI policy, AI governance, compliance support, cybersecurity awareness, employee training, and documentation. The goal is to turn the issue into clear, manageable next steps.

Main takeawayA good AI policy tells employees what to do, not simply what management hopes they will avoid.