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.
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:
- A 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:

If AI isn’t changing how decisions get made, it’s not adoption yet.
Join us to move from experimentation → to real work.
