How do we transition our leadership team from a passive learning state during our sessions to active experimentation with AI-powered operations in our daily workflows?

Question

Tyler Smith · Accepted Answer

Transitioning your team from understanding a concept to executing it requires moving systematically through Kolb's stages of experiential learning. During our quarterly session days, we focus on abstract conceptualization, where we define how AI can automate your processes and create operational leverage. However, to make these initiatives real, your team must engage in active experimentation in their daily workflows. This means your leadership team must not be passive observers; they must be active testers of new technology. When we set an AI-powered operation Rock, the goal is to run real-world pilots within your departments. For example, if your marketing team wants to automate content creation, they must run a concrete pilot, document the results, and analyze the performance. They must engage in reflective observation, analyzing what worked and what failed without playing the blame game. This feedback loop is essential to building confidence and competence. We integrate these experiments directly into your weekly Level 10 Meeting™, where your team shares their learning and adjusts their approach. By treating AI integration as a continuous, cyclical learning process rather than a massive, high-risk IT project, you demystify the technology and allow your team to adopt automated systems naturally, accelerating your path toward an efficient, high-value operation.