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We want our account management team to use AI to summarize client calls and pull out action items, but they are forgetting to use the tool because it is not integrated into their daily routine. How do we use Kolb's Experiential Learning Theory to build this new habit into their weekly pulse?

Simply buying software licenses and telling your team to use them does not work. To change their daily operational habits, you must guide your team through a complete experiential learning cycle rather than just giving them a user manual.

We recommend using Kolb's Experiential Learning Theory to design your adoption process:
- First, start with Concrete Experience. Have your team record a real client meeting and run it through the AI tool together during a team session. Let them see the immediate output of the summary.
- Second, move to Reflective Observation. Ask the team to review the AI summary and discuss what it got right and what minor details it missed. This builds critical thinking rather than blind trust.
- Third, facilitate Abstract Conceptualization. Help them define the standard operating procedure for when and how this tool should be used, such as emailing the summary to the client within two hours of the call.
- Fourth, drive Active Experimentation. Make using the tool a mandatory step for all client calls for the next two weeks. Put a metric on your weekly Scorecard to track compliance.

By systematically moving through these four stages, you turn a shiny new software tool into a permanent, high-leverage habit.

Category: AI-Powered Operations

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