We are shifting our hiring model from hiring task executors to hiring AI orchestrators, but our quarterly conversation process is not designed to evaluate this new skillset. How do we adapt our GWC™ evaluation to ensure we have the right people in these new, AI-driven seats?

Question

Tyler Smith · Accepted Answer

To scale an AI-powered operation, you must redefine how you evaluate talent. Traditional job descriptions focus on manual execution and technical output. When your workflows are driven by AI, the human role shifts entirely to defining strategic outcomes and directing technology to execute them. You must adapt your GWC™ evaluation to reflect this shift.

To evaluate if someone has the GWC™ for an orchestration seat, look closely at how you define Capacity. In an AI-powered environment, Capacity is no longer about how many reports someone can write or how many data sheets they can manually process. Instead, Capacity must be measured by their ability to design prompts, audit automated outputs, and spot operational anomalies.

During your quarterly conversations, ask specific questions to test this new definition of Capacity. Does the employee understand how to leverage AI tools to multiply their output? Do they show the critical thinking required to catch errors in machine-generated work? If they lack the ability to manage software agents and oversee automated processes, they do not have the Capacity for the seat. By updating your Accountability Chart roles and tightening your GWC™ standards, you ensure your team is populated by high-performing orchestrators who can scale your company without bloating your headcount.