AI for Leaders Line
Strategy without hype: pick use cases, set policy, run a pilot, train people and measure return.
All levels5–6 hours6 stationsFree
Who it's for: Managers, founders and department heads deciding where AI fits, what to buy and how to get a team to actually use it.
What you'll be able to do
- Rank use cases by value and risk
- Write a one-page AI use policy
- Run a 30-day pilot with clear success metrics
- Plan team training that changes behaviour
The route
Station 1: Where AI pays off
A value-versus-risk grid for sorting ideas into do now, pilot, and wait.
Station 2: Build, buy or switch on
Compare built-in features, off-the-shelf tools and custom builds on cost, speed and control.
Station 3: A one-page AI policy
What staff can use, what data stays out, who approves new tools, and how to report issues.
Station 4: The 30-day pilot
Pick a team, a baseline and three metrics; decide in advance what result means scale up.
Station 5: Training that sticks
Why one-off webinars fail and how short, role-specific practice changes daily habits.
Station 6: Measuring return
Hours saved, quality, cycle time and adoption — and how to present them to a board.
Read along
- An AI adoption roadmap for teams: from curiosity to measurable results · 10 min
- How to write a one-page AI use policy (with template) · 8 min
- How to measure the productivity gains from AI · 8 min
- Using AI at work without leaking sensitive data · 8 min
Watch along
Intro to Large Language Models
Andrej Karpathy · Foundations
A one-hour talk on what LLMs are, how they're trained, and where they're heading.
Introduction to Generative AI
Google Cloud Tech · Foundations
A short overview of generative AI concepts and terminology.
How to complete this line
Work through one station per sitting. For each: read the linked guide, watch the video where one is listed, then apply the idea to one real task from your own work and note the result. When you have done all stations, try the matching brief in this month's prompt challenge.