Lately, I’ve been thinking a lot about what it really means to adopt AI at the team level. It reminds me of something I’ve lived through before: the early days of Agile transformation. I remember when we first "went Agile." We swapped out Gantt charts for sticky notes, added standups to the calendar, renamed our planning meetings—and called it a day. It looked Agile. But it wasn’t. It took months of unlearning, coaching, retrospectives, and iteration before we saw real behavior change—and real outcomes. And I’m seeing the same thing with AI now. A leadership team announces, “We’re investing in AI,” but at the team level, it’s unclear what that actually means. How does it show up in our planning? Our rituals? Our outcomes? What Meaningful AI Adoption Actually Looks Like From what I’ve seen, meaningful AI adoption doesn’t start with a shiny tool or a prompt engineer. It starts with visible improvements in how teams work. Are decisions being made faster? Is output improving? Ar...