Ongoing, with regular check-ins | Leader-led, with team participation | Moderate effort
Use this activity to:
Start small, then review what support your team needs as confidence and use grow.
This activity supports our guidance on how to start small and build momentum. Before you begin, it helps to understand your team’s training needs.
Building team capability helps staff use AI safely and confidently in everyday work.
Capability grows through practical learning, shared habits and clear expectations over time, not one-off training.
As tools and risks change, ongoing support helps teams adapt without losing momentum.
Work through each stage to help build your team’s capability over time. Focus on practical learning that fits real work, current confidence levels, and safe use expectations.
Start with small examples and shared learning before moving into more structured capability development.
At this stage, focus on creating simple learning moments to help build skills in real work contexts.
Start by sharing a practical AI example with your team. This may only need to be 10 minutes showing how you’ve used AI in your work.
As you share, talk through:
If you haven't used AI yet, ask someone in your team to share an example. You could also use this as a low-risk way to test a simple task together. For ideas, explore ways to use AI.
Next, create a shared space for tips and examples.
Set up a shared document, whiteboard or channel where staff can share:
This helps make learning visible and easy to share.
Build momentum by moving from informal sharing to more structured capability support.
First, review what you learned from understanding team training needs. Pick a few tasks, roles or situations where people most need support. This keeps learning focused on real team needs.
Then, choose a few actions from the following table that best suits your team and ways of working.
| Actions | Benefits |
|---|---|
| Core training on AI basics, governance and internal policies | Gives everyone the same safe starting point |
| Safe experiments and low-risk pilots | Provides hands-on skill-building |
| Peer sharing and feedback loops | Spreads tips quickly and surfaces issues early |
| Named support roles or AI champions | Gives staff a clear support contact |
| Self-directed learning and external courses | Helps interested staff go deeper |
| Clear AI use boundaries and policies | Reduces uncertainty about what’s appropriate |
| Shared learning logs or channels | Builds collective knowledge and reduces repeated mistakes |
Regularly review how your team is learning and building capability.
Check:
Use this review to improve existing learning initiatives and support before adding more.