Start with the work people already do
Useful training begins with the documents, decisions, inboxes, meetings, and checks that already create friction. Generic demonstrations help people understand what AI can do; teams build confidence when the examples look like their own day.
Teach safe use before tool choice
Staff need clear rules on what data can enter public tools, when human review is required, how outputs should be checked, and when the work is too sensitive for a casual AI setup.
Leave with something to do next
A good training session should leave behind agreed next actions: one piece of work to test, a current baseline, sample data to prepare, and an owner who can decide whether the change is useful.
Practical takeaways
- Train around real Isle of Man business work, not abstract prompts.
- Pair staff enablement with governance and human review.
- Use training to identify the first piece of work worth testing.