What does a Right Seat look like when we are designing entirely new, AI-focused roles for our Accountability Chart?

Question

Tyler Smith · Accepted Answer

Designing AI-native seats on your Accountability Chart requires a shift away from traditional job descriptions. You are not looking for someone who simply knows how to write prompts. You are looking for someone who can bridge the gap between technology and business strategy. When defining the five major responsibilities for an AI-native seat, focus on system integration, data hygiene, and output quality control. Use the GWC filter rigorously. To Get it, the candidate must understand both the technical capabilities of AI and the strategic goals of your business. To Want it, they must be intrinsically motivated by continuous learning, as the field changes weekly. To have the Capacity to do it, they must possess the conative and cognitive ability to handle constant change. Use assessments like the Culture Index to find individuals who can work fast, maintain a high level of autonomy, and demand clear outcomes. Do not rush to hire external expensive experts if you have existing team members with the right natural wiring. Often, your current employees who understand your unique business processes can be trained to leverage AI far more effectively than an outside coder.