Match the depth to the audience
A shared introduction and a role-specific workshop serve different purposes. People new to AI may need a clear explanation of capabilities and limitations. Regular users may benefit more from examining a familiar task, comparing outputs and developing review criteria.
Look for practical application
Ask how the content connects with the work participants do. An activity should have a purpose that the audience can understand. Relevant examples give people a way to consider where the same approach may be useful in their own context.
- Which workplace tasks will the learning examine?
- What will participants practise?
- How will an output be reviewed?
- What information or preparation is required?
Consider responsible use
A productive learning experience also considers the limits of a tool. Discuss how accuracy, confidentiality, bias and human review will be addressed. Use organisationally approved tools and avoid supplying sensitive information merely to make an exercise more realistic.
Clarify the engagement
Confirm the format, duration, materials, software requirements and full fee. Ask whether the scope includes preparation or follow-up resources. Clear arrangements make it easier to assess whether a program is suitable for the intended audience.
Plan for application afterwards
Identify a small, appropriate opportunity for participants to apply what they have practised. Agree who can support questions and how the team will discuss the result. This turns the training conversation towards ongoing professional practice.
Put the brief into a conversation.
Discuss the learning requirements and next steps for your organisation.