Capstone: AI use case sprint
The full thing. Take one real workflow through the loop end-to-end: capture, risk decision, learning gap, experiment, evidence, leadership report — with a peer reviewer the whole way.
What you will learn
- Ship one real evidence record for a real workflow.
- Pass it through risk, policy, and review.
- Present the result to a non-technical audience.
How you’ll learn this module
Built around evidence-informed learning methods. Designed to support retrieval practice, feedback, and spaced review.
Learn brieflyAttemptGet feedbackRetryReview laterApply in a workflow
Topics covered
CaptureUse case + risk in week 1.
ExperimentDesign and run in weeks 2–3.
EvidenceCollect during the run.
ReportPresent in week 4.
Suggested learning sequence
01
Week 1
Capture, scope, and risk-classify your workflow.
02
Week 2
Design the experiment with a peer reviewer.
03
Week 3
Run the experiment. Log evidence.
04
Week 4
Write and present the leadership report.
Practical exercises
- Pick a workflow with real business consequence.
- Recruit a peer reviewer before week 1.
- Block a leadership read-out for week 4 before you start.
Practice with the AI Tutor
Run this module on a real workflow
Bring one piece of work into the tutor. It turns this module’s topics into risk flags, a practice mission, an experiment, and an evidence record.
Open the AI Tutor for this module