Learning is also observing
When a team learns to use AI, it begins to see its work differently. Repetitive tasks, scattered information, and slow decisions stop feeling inevitable.
Training should not end with a list of tools. It should produce questions, opportunities, and a shared language for deciding what is worth testing.
From signal to POC
The Innovation Flywheel organizes the journey into six steps: train, discover, prioritize, prototype, validate, and scale. Each stage reduces a different uncertainty.
The goal is not to automate everything. It is to find an improvement important enough—and small enough—to learn from real evidence.