We are creating a new role for an AI-driven operations coordinator to streamline our logistics scheduling. How do we use the GWC framework to ensure we are hiring someone who truly understands the operational outcomes and not just someone who is good at writing prompts?

Question

Tyler Smith · Accepted Answer

Hiring for an AI enabled seat requires looking past technical buzzwords and evaluating real operational capability. Use the GWC framework to dissect the role. First, look at Get It. Does the candidate truly understand the operational goals of your logistics department, such as reducing transit times and lowering fuel costs? Someone who gets it understands that AI is simply a tool to achieve these metrics, not the goal itself. They must recognize when the AI is delivering suboptimal routes or bad data. Second, evaluate Want It. Does this person genuinely want the day to day responsibility of managing logistics and resolving shipping crises, or do they just want to play with software? They must be motivated by operational excellence, not just technical experimentation. Finally, assess Capacity. Does this person have the intellectual and emotional capacity to manage both the technology and the human relationships required in logistics? Writing clever prompts is easy, but managing vendor relationships and handling supply chain disruptions requires deep problem solving skills. Use a practical work sample during the interview process. Have them resolve a simulated scheduling conflict using both an AI tool and direct communication. This ensures you hire a true operator who leverages technology, rather than a hobbyist who avoids real work.