AI Capability Lifecycle Series · Course 3
AI in Delivery
Leading projects that ship, without the predictable failures.
Welcome. This is your companion site for the one-day AI in Delivery masterclass. Everything you need is here: what to read before the day, the workshop you’ll work through, the frameworks you’ll take home, and the RetailFlow team you’ll interview.
Before the dayThree short reads so you arrive ready. The workshopThree sprints on one real project. FrameworksThe tools you’ll keep using Monday. Meet the teamInterview RetailFlow’s leadership live.
The question you came to answer
Why is delivering an AI project different from delivering any other project?
That’s the spine of the day. The answer is five things every project manager assumes, that AI breaks:
Every PM tool you know still applies, but each one bends under these five forces. The day is about learning the bend.
What you’ll leave with
A delivery design for a real AI project, not a theory to apply later:
- Scoped objectives, data requirements, and a defined “good enough”
- A delivery roadmap with milestones and go/no-go gates
- A stakeholder plan and a human-in-the-loop checkpoint design
- A risk register and a pilot-to-production path
How the day runs
| Time | Block |
|---|---|
| 9:00–10:30 | Why AI is different: the five differences + the trust tool |
| 11:00–12:30 | Sprint 1: Scope it against reality |
| 1:15–2:30 | Sprint 2: Stakeholders & human-in-the-loop |
| 3:00–4:00 | Sprint 3: Roadmap, risk & the go/no-go call |
| 4:00–4:30 | The edge that’s left to humans + your action plan |
This course scaffolds the theory and points you to where to dig. The free companion resource, Conversation, Not Delegation, goes deeper on every idea here, including the trust tool for deciding when to rely on AI.