Our mid-level operations staff are quietly resisting our AI integration initiatives because they fear these tools will automate them out of their jobs. How do we use the Kolbe A Index to identify who has the natural conative wiring to help us design these new automated workflows?

Question

Tyler Smith · Accepted Answer

Employee resistance to AI is rarely about laziness; it is usually a defense mechanism against a perceived threat to their security or an misalignment with their natural problem solving strengths.

To overcome this friction, administer the Kolbe A™ Index to your key operations staff. This assessment measures their instinctive conative strengths, explaining why certain types of work energize or drain them.

Some team members have a strong Fact Finder or Follow Through drive. They excel at maintaining established systems and ensuring operational consistency. Forcing them to suddenly design and test unpredictable AI integrations will trigger intense resistance.

Conversely, team members with a high Quick Start drive naturally enjoy experimentation and risk-taking.

Use these insights to restructure how you run your operational transition. Do not force your structured, high Follow Through employees to build the new workflows. Let your high Quick Start employees test the tools and build the initial prototypes.

Once the new automated workflow is proven and stable, assign a Rock to your high Follow Through team members to document the process and run it consistently.

This approach respects your team's natural wiring and removes the fear of transition.