Our team has plenty of ideas for AI tools, but we are failing to implement them because our execution-focused employees are resistant to changing their daily routines. How do we use Kolbe A™ Index profiles to identify who should lead the implementation of new AI processes and who should simply execute them?

Question

Tyler Smith · Accepted Answer

Resistance to new technology is rarely a performance issue. It is usually a conative mismatch. When you try to force team members who are naturally wired for stability to build and test new AI workflows, you get friction, anxiety, and ultimate failure. You need to align your implementation strategy with your team's natural strengths.

Administer the Kolbe A™ Index to your leadership team and key department heads. Pay close attention to the Quickstart and Follow Through numbers. Employees with a high Quickstart score are naturally wired to improvise, experiment, and tolerate the chaos of testing unproven AI tools. Those with a high Follow Through score thrive on systemization, order, and executing established procedures.

Do not let your high Follow Through staff design your initial AI workflows. Instead, assign a high Quickstart team member to lead the experimental phase as a quarterly Rock. Their job is to test the AI tools, break them, and find what works in a sandbox environment.

Once the new AI process is proven, hand it over to your high Follow Through team members to document the standard operating procedures and integrate them into the daily routine. This approach respects the conative strengths of your team, reduces change fatigue, and ensures your AI tools actually get implemented.