Across three virtual sessions, you’ll move from diagnosing your organization’s AI readiness, to leading people through the change, to seeing AI applied live — and leave with a plan to start.

AI doesn’t transform organizations — people do. Most AI initiatives stall not on the technology, but on the culture around it. Learn how to benchmark your own culture’s readiness.

The technology is ready — is our leadership? Building on the cultural diagnosis from Part 1, this session turns to the behaviors leaders use to move people through change.

You’ve seen the framework — now watch it work. This closing session moves from concept to practice. See a live demo of how AI can tackle low-risk tasks.
AI doesn’t transform organizations — people do. Most AI initiatives stall not on the technology, but on the culture around it: teams fear change, boards hesitate, and leaders struggle to build alignment in a world moving faster than their governance models.
In this opening 30-minute session, the .orgSource team helps you name the anchors quietly holding your organization in place and the speedboats already moving it forward. You’ll be introduced to the AI-Ready Culture Framework — Trust, Communication, and Experimentation — and learn why that order matters. Through live polling, you’ll see how your peers are feeling about AI right now and benchmark your own culture’s readiness.
The technology is ready — is our leadership? Building on the cultural diagnosis from Part 1, this session turns to the behaviors leaders use to move people through change. We’ll unpack the four cultural blockers that quietly stall AI — fear of irrelevance, silence at the top, permission culture, and innovation shame — and the practical antidote to each.
You’ll be introduced to H.E.A.R.T.-powered leadership (Humanize, Empower, Ascend, Reimagine, Transform) and three shifts that separate leaders who stall from leaders who move: control to empowerment, certainty to curiosity, and plans to experiments. Live polling and rapid-fire scenarios let you practice responding to the skeptic, the fear, and the brake.
You’ve seen the framework — now watch it work. This closing session moves from concept to practice. See a live demo of how AI can tackle low-risk tasks. You’ll watch how the thinking happens, not just the output: the starting prompt, what the first result got right and wrong, and how to adjust when limitations surface.
We’ll close by mapping what just happened back to Trust, Communication, and Experimentation. Plus, leave with a 30-60-90 plan for putting what you’ve learned to work.
One registration gets you access to all three Webinars