Coaching Internal AI Champions: Why They Need More Than Tools
Key Takeaways Internal AI champions play a vital role in helping teams explore and adopt new ways of working. But being a champion can be isolating, especially when everyone assumes
Small Steps, Big Learning: How to Experiment with AI
Key Takeaways AI adoption isn’t about making big bets — it’s about testing what works in real situations. Small, focused experiments reduce risk and build confidence across the team. You
Why AI Struggles with Context (and What You Can Do About It)
Key Takeaways AI tools don’t “know” your situation — they only respond to what you give them. Many weak outputs are the result of unclear or missing context, not poor
Why AI Confidence Starts with Simple Tools
Key Takeaways Confidence with AI grows from small wins using approachable tools Early experiences with AI should feel useful, relevant, and rewarding Simple tools are powerful gateways to curiosity and
Start Here: 5 Practical AI Use Cases That Build Confidence
Key Takeaways AI adoption starts with simple, meaningful wins that feel relevant to your team’s daily work. Use cases that solve real, repeatable problems help build trust and capability. These