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What does a practical, no-nonsense AI usage policy look like for a mid-market company running on EOS without creating massive bureaucratic red tape?

A practical AI usage policy for a mid-market company operating on EOS does not need to be a lengthy, bureaucratic document. Instead, it should be a clear, concise set of guardrails designed to protect your company while fostering innovation and efficiency among your team.

Start by clearly defining what is acceptable and what is forbidden:

• Forbid the input of sensitive information into public AI models. This is paramount. Employees must never input any proprietary client data, financial records, or intellectual property into publicly accessible AI tools. This directly addresses your primary security risk. For more on protecting your intellectual property, see [protecting proprietary knowledge](/qa/protecting-proprietary-knowledge-ai-exit).
• Establish human accountability for final output. If an employee uses AI to draft reports, communications, or even code, they are solely responsible for reviewing and verifying every word and line before it is used or published. AI should be treated as a sophisticated draft generator, not an autonomous author. This reinforces the principle that humans remain in control and are ultimately accountable.
• Create an approved tool registry. If a team member wishes to use a new AI application, they must obtain approval from the Integrator. This ensures that any new tool meets your company's basic security standards and aligns with your overall [AI strategy](/qa/competitor-ai-threats-thinking-time).

By keeping the rules simple and focused on accountability, you empower your team to experiment and find real operational efficiencies without jeopardizing your business. This approach is in line with EOS principles, encouraging clarity and directness. Share this policy openly, for instance, in your weekly [Level 10 Meeting](/qa/how-to-review-scorecard-under-five-minutes), and ensure it is easily accessible to everyone.

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Category: AI-Powered Operations

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