Three-Session Virtual Webinar Series

Building an AI Ready Culture

Leading People Through Transformation

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. 

Diverse group of professionals in a business meeting at a conference table.
November 3, 3:00PM ET

Why Culture Decides
AI Success

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. 

Smiling woman working on laptop in a modern office setting.
November 10, 3:00PM ET

Leading People
Through the Shift

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.

Business team reviewing integrated AMS reports on tablet for unified data insights.
November 17, 3:00PM ET

From Framework to Practice: Experimenting in Real Time

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.

Why Culture Decides AI Success

November 3, 3:00PM ET

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.  

Driven tools enhance member engagement and streamline workflows during the webinar.

Sherry Whitaker Budziak

Founder and CEO, .orgSource

AI READINESS

Diagnose the cultural strengths and vulnerabilities that influence their organization’s AI readiness. 

ANCHORS

Distinguish the “anchors” that hold organizations in place from the “speedboats” that create forward motion. 

FRAMEWORK

Apply the three conditions of the AI-Ready Culture Framework — trust, communication, and experimentation — to assess their own environment. 

Leading People Through the Shift

November 10, 3:00PM ET

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. 

AI tools for associations webinar - top 10 solutions for efficiency and engagement.

Kevin Ordonez

President and Managing Director, Digital Strategy, .orgSource

LEADERSHIP

Identify the leadership behaviors and communication strategies that build trust and reduce resistance to AI. 

BLOCKERS

Recognize the four cultural blockers in their own organization and name the antidote to each. 

SHIFTS

Describe the three shifts from control, certainty, and plans to empowerment, curiosity, and experiments. 

From Framework to Practice: Experimenting with AI in Real Time

November 17, 3:00PM ET

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. 

Executive selecting an AMS panel for effective decision-making.

Patrick Dorsey

SVP, Sales & Marketing, re:Members
Professional man in business suit at office, representing Membassadors initiative.

Jason Vance

Director of Client Experience and Solutions, re:Members

EXPERIMENT

Identify the characteristics that make a task low-risk and high-frequency enough to serve as a first AI experiment. 

OUTPUT

Evaluate AI output critically, recognizing where it needs refinement, where it falls short, and how to adjust their approach. 

30-60-90

Build a 30-60-90 day experimentation plan that reinforces trust, communication, and experimentation. 

Register for the 'Building an AI Ready Culture: Leading People Through Transformation' Webinar Series

One registration gets you access to all three Webinars