✨ AI Practical Lab: Framing the Why — Leadership Development for AI at Scale

AI adoption is moving fast—but in most organizations, it’s still fragmented across teams.

Different functions experimenting. Different tools.
Very little consistency in how work actually gets done.

This AI Practical Lab builds on a recent ELE design charrette with leaders in financial services and insurance, where a clear pattern emerged:

AI isn’t failing—
it’s just not yet embedded in decisions and day-to-day work.

Infographic of the CRIT model for AI leading, breaking down Context, Role, Interview, and Task with icons and descriptions for each step.The CRIT Model for AI-driven leadership, from Geoff Woods. (Credit: Google Gemini Banana)

What we’ll do (live working experience):

You’ll work through ELE’s Action Planning Worksheet to move from scattered experimentation → to focused, repeatable practice.

  • Define one real decision or workflow where AI should change how work gets done
  • Clarify what managers must do differently this quarter
  • Apply the CRIT model to structure better prompts and thinking
  • Identify what’s already working—and what to scale across teams
  • Build a 30-day action plan you can apply immediately

Who was in the room:

  • Internal Client
  • AI Learning Guru
  • Real-world Skeptic

What you’ll walk away with:

  • 30-day action plan
  • One AI-enabled decision or workflow to apply immediately
  • A way to turn AI use into shared practice across your team

Below is the Action Planning Worksheet we’ll use live:

Action planning worksheet for ELE AI Practical Lab showing sections for Situation, From-To shift, Insight, Choice, Risk, Opportunities, and Actions (Next 30 Days) focused on applying AI to real decisions and workflows.

If AI isn’t changing how decisions get made, it’s not adoption yet.

Join us to move from experimentation → to real work.

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