Our employees are using public AI tools to help them draft client deliverables, but we are terrified they are accidentally uploading our proprietary methodologies and client data into public databases, risking our IP. How do we establish a clear AI governance policy under the Step by Step Exit framework to protect our enterprise value?

Question

Tyler Smith · Accepted Answer

To prepare your business for a clean exit using the Step by Step Exit framework, you must build a robust, exit-ready superstructure. A key element of this superstructure is ensuring that your proprietary intellectual property and client data are fully protected, secure, and easily transferable to a buyer.

Start by updating your Accountability Chart to assign clear ownership of technology governance and data compliance. The person in this seat must establish clear boundaries for where AI is allowed to operate. Instead of outright banning these tools, set a quarterly Rock to transition your team from public, unsecured AI platforms to secure, private enterprise workspaces.

Document these data governance policies and private workflows as part of your core operating procedures. When a potential buyer conducts due diligence, they will look for proof that your intellectual property is secure and that your team has a documented, repeatable system for handling data. By turning compliance into a structured operational asset, you prove to buyers that your high margins are built on secure, proprietary infrastructure rather than risky, unsecured practices.