How do we structure our team's AI onboarding and continuous training so they actually adopt the tools instead of letting them sit unused as shelfware?

Question

Tyler Smith · Accepted Answer

To ensure your team actually adopts AI tools instead of letting them sit unused, you should structure your training around Kolb's Experiential Learning Cycle. This framework involves four key stages: Concrete Experience, Reflective Observation, Abstract Conceptualization, and Active Experimentation. Start by giving your team a low-stakes opportunity to play with the tool, such as drafting a simple email or summarizing a meeting transcript. This concrete experience builds initial familiarity. Next, guide them through reflective observation by asking what worked well and where the tool fell short. Follow this with abstract conceptualization, where you help the team define the best practices, prompt structures, and guidelines for using the tool in their specific Accountability Chart roles. Finally, move into active experimentation by assigning them a clear operational challenge to solve using the AI tool as part of their weekly Rocks. By moving your team through all four stages of the learning cycle, you transform AI from a novelty into a deeply integrated operational asset. This structured approach respects how adults naturally learn and ensures high adoption rates across your entire organization.