Our senior advisors are worried we are coding ourselves out of a job by training private AI models on our proprietary advisory playbook, and some are resisting the initiative entirely. How do we protect our intellectual property while aligning our team around AI training?

Question

Tyler Smith · Accepted Answer

When senior advisors resist training an AI model with their expertise, they are protecting their perceived value. If they believe the system will replace them, they will quietly sabotage the project. You must shift their perspective from being content producers to being systems editors.

Use Keith Cunningham's Thinking Time to address this challenge. Sit down with a blank notepad and ask: How might I structure our advisory roles so that our team's value is based on client relationship management rather than information delivery?

Once you have clarity, update your Accountability Chart. Create a clear distinction between the seat that owns AI training (the builder) and the seats that own client relationships (the strategic advisors). Show your senior advisors that their GWC™ is no longer about writing standard advisory playbooks. Their capacity is now measured by their ability to apply the AI's generated insights to complex client situations.

Next, protect your IP structurally. Establish a company Rock to move all proprietary prompt libraries and private data environments into a centralized, secure corporate repository owned by the Integrator. Ensure that departing employees cannot take this institutional knowledge with them. By formalizing this in your EOS® documented processes, you turn individual talent into corporate enterprise value.