Section 7: Workshop: Facilitation Skills
- Open sessions so learners feel safe to try, and handle mixed levels in one room
- Ask questions, listen and help learners draw their own conclusions
- Handle people who resist, worry or expect too much
- Workshop: role-play difficult classroom situations
Section 8: Lab: AI Clinics and Coaching
- Formats such as office hours, lunch and learn sessions and Q&A channels in company chat
- Diagnose user problems: unclear prompts, missing information or the wrong tool
- Build an FAQ from the questions you are asked
- Lab: coach in pairs, improving prompts from a colleague's work task
Section 9: Workshop: Finding and Selecting Use Cases
- Look for tasks that are repetitive, time-consuming and low risk for data
- Score them on impact, ease and risk
- Write a use case card: current steps, new steps and human checkpoints
- Workshop: prioritise the use cases for your own department
Section 10: Lab: A Prompt Library and Team AI Assistants
- Build a central prompt library that is easy to search and has an owner
- Task-specific assistants such as GPTs, Gems or Copilot agents, depending on company plans
- Set instructions, scope and reference files that contain no confidential data
- Lab: build one sample assistant for your department's work
Section 11: Lab: Measuring Results and Reporting to Management
- Indicators: number of users, frequency, time saved and work quality
- Collect data with before-and-after surveys and success stories
- Summarise results in a one-page report management can act on
- Lab: design a survey and a simple results table
Section 12: Workshop: Teach-back and a 90-day Plan
- Teach a 10-minute slot from your session and receive feedback against a rubric
- Plan 90 days: training schedule, follow-up activities and indicators
- List the support you need from management and IT