What business AI training should produce
- A shared plain-English model of what AI can and cannot do.
- Approved and prohibited uses for company information.
- A method to score opportunities for value, feasibility and risk.
- A repeatable workflow format: input, instruction, reference, review and escalation.
- A named pilot, baseline, owner and 30-day success measure.
Training by role
| Audience | Needs to decide | Useful outcome |
|---|---|---|
| Owner / executive | Priority, risk appetite and investment | Ranked roadmap and governance owner |
| Manager | Workflow, quality and adoption | Pilot brief and review standard |
| Team member | Safe use and daily execution | Approved workflow and examples |
| Risk / operations | Data, access and incident response | Policy, register and escalation path |
How to bring a hesitant team along
Start with the work people want relief from, not a threat to their role. Let staff help identify the expensive friction, show what remains a human decision, and measure whether quality improves. A useful adoption conversation answers three questions: what will change, what will not change, and how will we know whether this helps?
Manager rule: never ask a team to “use more AI.” Ask them to test a named workflow with a named safeguard and measure.
How this four-week course is different
The AI Course is designed for non-technical owners, managers and decision makers. Seven recorded modules, weekly live masterclasses in the supported tier, ROI scoring, change leadership and a 90-day plan connect the technology to a real implementation decision. See the curriculum and delivery options.