The AI Tutor will answer grounded in this lesson's cited source (jira_story: GOV-152) and key concepts — authority Informational. Not yet enabled.
Lesson 3 of 4 — End-to-end demo: Sprint to Workspace
Cross-Cutting & Hardening · Source: Jira Story GOV-152 (5 pts) · Authority: Informational (the Jira story is authoritative).
Purpose
Prove the Sprint-to-Workspace path end-to-end with a scripted demo.
Why it matters
A passing end-to-end demo is the honest evidence that the journey actually works.
Where this lives
Runs in the Customer AI Governance platform (components: platform). A scripted end-to-end demo exercises Sprint to onboarding to Workspace on one tenant. Learn teaches this read-only.
Workflow
- Given the full path
- When a scripted demo runs
- Then it passes on one tenant
Worked example
Someone says 'onboarding works.' What's the honest evidence per this story?
A scripted end-to-end demo that runs Sprint to Workspace and passes on one tenant.
Acceptance criteria (authoritative — GOV-152)
Given the full path, when a scripted demo runs, then it passes on one tenant.
Common pitfalls
- Claiming the path works without a repeatable, passing script.
Knowledge check
- Scenario: Someone says 'onboarding works.' What's the honest evidence per this story?
- Look for: A scripted end-to-end demo that runs Sprint to Workspace and passes on one tenant.
Key concepts
- end-to-end demo
- scripted path
- single-tenant proof
For the AI Tutor
- Summary: Prove the Sprint-to-Workspace path end-to-end with a scripted demo.
- When to use: teaching or answering questions about "end-to-end demo: sprint to workspace".
- When NOT to use: the RBAC negative tests (that is GOV-153).
- Key concepts: end-to-end demo, scripted path, single-tenant proof.
Completion criteria
Learner passes the scenario knowledge check and can point to the system state that satisfies GOV-152's acceptance criterion.
Related
- Module: LEARN-MOD-005 (Cross-Cutting & Hardening)
- Provenance: LEARN-MAP-001 · Generation standard: LEARN-STD-002
- Next: LEARN-LSN-031