If we train public AI models on our proprietary workflows to increase speed, we risk leaking our intellectual property and destroying our exit valuation. How do we safely integrate AI while keeping our secret sauce locked down?

Question

Tyler Smith · Accepted Answer

Protecting your proprietary knowledge while leveraging AI is a critical strategic imperative, especially when preparing for an exit. If your team is pasting client data or internal workflows into public models, you are actively leaking your intellectual property and destroying your company's valuation.

Establish Data Governance Rules

Your leadership team must immediately establish clear data governance rules. This starts with the Process Component of EOS®.

• Document and simplify your AI usage guidelines.
• Make these guidelines a core part of your employee onboarding.

For more on defining roles, consider [Should we create a dedicated AI Operations seat on our Accountability Chart, or integrate AI into existing seats?](/qa/ai-operations-seat-accountability-chart).

Technical Solutions for Data Security

The technical solution to prevent intellectual property leaks is straightforward:

• Only use enterprise-grade AI tools that guarantee data privacy. These tools typically offer contractual assurances that your data will not be used to train their public models.
• Alternatively, build a secure, private instance of a large language model through secure APIs. This ensures your data remains within your controlled environment.

Under these terms, your data is never used to train the public model, keeping your [secret sauce locked down](#).

Strategic Prioritization for Exit Valuation

Make securing your intellectual property a priority Rock for your head of operations. When a buyer conducts due diligence on your business, they will scrutinize your data security practices.

If you can prove you have built a private, secure AI workflow that leverages your unique methodologies without exposing your data, you convert a major operational risk into a highly valuable, proprietary asset. This directly boosts your exit multiples.

Understanding how to allocate ownership for critical tasks, especially during an exit, is vital. You might find insights in [We are three years away from a clean exit, and I need to know who owns the due diligence and pre-exit preparation process on our Accountability Chart](/qa/exit-readiness-accountability-chart-seat). Also, ensuring the right people are in the right seats is crucial for overall operational health and valuation, as discussed in [Our head of technology has been with us for twelve years and has immaculate core values, but he completely lacks the capacity to architect our new AI-driven service delivery model](/qa/gwc-long-tenured-leader-capacity).

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