In-House AI Training Programs: Design by Tier
One-size-fits-all training doesn't work, because managers and general staff need different things.
For General Staff
- Concrete use cases in their own work (demonstration over generic theory)
- Safety basics (don't input confidential data, verify outputs)
- Sharing of winning prompts
For Managers
- Judgment on where work should be AI-enabled
- Management that evaluates and encourages team adoption
- Accountability for risk management (information, quality)
Design Tips
- Center on hands-on exercises in one's own work rather than lectures
- Don't make it a one-off (retention needs repetition and coaching)
- Spread success cases laterally across the company
Key Point
The goal of training is not "knowledge" but a state where people can use it in their own job starting tomorrow. By-tier × tied-to-real-work × repetition is the condition for training that doesn't become an empty formality.
