Our senior subject matter experts hold decades of industry knowledge in their heads and resist training our internal AI knowledge base out of fear of becoming obsolete. How do we address this resistance on the Accountability Chart?

Question

Tyler Smith · Accepted Answer

Senior employees often view institutional knowledge as personal job security. When leadership asks them to document their mental models or train internal AI platforms, they perceive automation as an existential threat rather than an operational amplifier.

Address this directly through your Accountability Chart and GWC. A senior seat exists to drive high-impact outcomes, not to hoard operational trivia. As long as proprietary methods live exclusively inside an individual head, your company carries key-person risk that heavily discounts enterprise value in an exit transaction.

Shift your leadership posture from dictating technical tasks to casting a clear vision. Clarify that codifying their knowledge into internal AI tools does not eliminate their seat; it frees them from repetitive execution so they can focus on high-value strategic problem-solving that software cannot perform.

Restructure the roles and responsibilities in their seat. Explicitly list knowledge transfer, process documentation, and AI model validation as core accountabilities. Use quarterly Rocks to incentivize them to build internal prompt libraries, playbooks, and automated reference materials.

Evaluate their fit using GWC. Do they Get the future vision of an AI-augmented firm? Do they Want to lead at that higher level? Do they have the Capacity to elevate from task execution to systems oversight? If an expert actively undermines company efficiency to protect personal leverage, your leadership team must make the tough people call.