AI for Association Leaders — Team Facilitator & Discussion Guide
A way to run the AI course as a leadership team — so AI adoption is a shared decision, not a solo experiment. Use the prompts after each module to turn learning into your organisation’s actual AI position.
How to run it
A suggested rhythm: your leadership team works through one module per week or fortnight. Each person completes the module and its tool individually, then the team spends 20–30 minutes on the prompts — building, by the end, your own AI policy, readiness plan, risk register and 90-day roadmap together.
Before
Watch & do
Each member completes the module
…and its tool (e.g. readiness)
Together
Decide
20–30 min on the prompts
Agree the team’s position
After
Act
Assign owners
Build the shared documents
Discussion prompts by module
1. The AI Landscape
Where is AI already used across our organisation — including unofficially?
What is our honest collective attitude — excited, anxious, sceptical?
What do we want AI to do, and what should it not touch?
2. AI Governance: The Board’s Role
Does our board have a clear position on AI, or a gap?
Which AI decisions belong at board level versus management?
How will we keep our AI oversight current?
3. AI Strategy: The CEO’s Role
How does AI connect to our actual strategy?
Who owns AI in our organisation?
What would getting AI right look like in a year?
4. Your AI Readiness Assessment
Where are we strongest and weakest on readiness?
What is the first gap we should close?
Are our data foundations good enough to build on?
5. AI Use Cases That Work in Associations
Which three use cases would deliver the most value for us?
Which are low-risk enough to pilot now?
What is stopping us from starting?
6. Building Your AI Use Policy
What must our policy say about member data?
Where do we need clear do and don’t lines for staff?
When and how will we disclose AI use to members?
7. Member Data, Privacy & Legal Risk
What member data are we putting at risk, if any?
Are we confident in our Privacy Act and NDB readiness?
What is our biggest data exposure right now?
8. AI for Membership Growth
How could AI improve the member experience or grow membership?
Where could personalisation help — without crossing a line?
What member-facing AI would we be proud of?
9. AI for Advocacy & External Communications
Where could AI sharpen our advocacy or comms?
What is the risk of AI-generated content in our voice?
How do we keep authenticity while using AI?
10. Leading Your Team Through AI Adoption
Who on our team is anxious, and how do we support them?