I do not know how to code, and my leadership team is eager to build automated workflows using low-code platforms. How do I evaluate whether the people currently occupying our operations seats actually GWC (Get It, Want It, Capacity to Do It) managing and troubleshooting these AI tools long-term?

Question

Tyler Smith · Accepted Answer

Evaluating whether your team members GWC their seats when AI tools are introduced does not require you to understand code. It requires you to understand process logic. In an AI-powered operating company, the capacity to manage these tools is not about writing software, it is about system-dependent thinking.

To test if a leader gets it, wants it, and has the capacity to manage an AI workflow, ask them to map out the process manually first. If they cannot clearly diagram the inputs, decision rules, and outputs of a manual workflow on a whiteboard, they have no business trying to automate it with AI. AI is simply a multiplier of your existing logic; automating a broken, disorganized process just produces automated chaos.

Next, evaluate their capacity to troubleshoot. Ask them what happens when the API connection breaks or the AI model produces an unexpected result. A manager who truly GWCs their seat will have a documented manual fail-safe process ready to go. They must understand the underlying tool well enough to spot errors and correct them without needing to hire an external software developer.

If your manager cannot explain the logic of their automated tool in plain English or outline a clear manual fallback plan, they do not have the capacity to own that tool. Keep the accountability on their seat, and do not let technical jargon mask a lack of operational discipline.