We want to appoint an internal AI champion to lead our operational automation, but we do not know if we should choose a visionary big-picture thinker or a detail-oriented process manager. How do we use Kolbe and the Accountability Chart to make this decision?

Question

Tyler Smith · Accepted Answer

Appointing the wrong person to lead your AI initiatives will result in either endless planning with zero execution, or chaotic tools that disrupt your operational consistency. To select the right internal AI champion, you must look beyond technical skills and focus on conative strengths using the Kolbe Index.

An AI champion needs to bridge the gap between innovation and process. If you assign a high Quick Start with low Follow Thru to this role, they will introduce ten new tools every week, overwhelming your team and creating operational chaos. Conversely, if you assign a high Fact Finder with high Follow Thru who is resistant to Quick Start, they will spend six months researching security protocols without ever deploying a single tool.

The ideal candidate for an AI adoption role is someone with a strong balance of Quick Start to drive experimentation, combined with sufficient Follow Thru to document the new workflows. On your Accountability Chart, this role must sit under a seat that is highly organized, typically operations or IT.

Before making the appointment, ensure they fit the GWC for the seat. They must understand how the business actually makes money, want the responsibility of driving adoption, and have the mental capacity to train others. This ensures your AI projects move from initial experimentation to documented, repeatable processes that build enterprise value.