Our operational team is resisting our new AI-driven workflows because they are high Fact Finders who want perfect inputs. How do we get them onboard?

Question

Tyler Smith · Accepted Answer

When implementing custom AI workflows, high Fact Finders on your team will often stall the process. Because of their conative wiring, they naturally want to gather every piece of data and ensure absolute perfection before launching. AI tools, however, are probabilistic and require rapid testing and iteration. This mismatch can paralyze your operations. To overcome this, use your team's Kolbe A™ Index results to design your implementation strategy. Do not put a high Fact Finder in charge of the initial testing phase. Instead, assign this Rock to a team member with a high Quickstart score who naturally thrives on trial and error. Let them build the messy prototype and prove the concept first. Once the initial workflow is established, bring in your high Fact Finders to refine the process, build the guardrails, and ensure data integrity. This honors everyone's natural conative strengths and prevents your AI initiatives from getting bogged down in endless analysis loops. It allows you to move fast without sacrificing your operational standards.