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Informational Fresh jira_story: GOV-130

Lesson 1 of 7 — Seed mapper converts outputs to tracked objects

Governance Workspace Core · Source: Jira Story GOV-130 (8 pts) · Authority: Informational (the Jira story is authoritative).

Purpose

Turn the onboarding seed package into live, tracked Workspace objects.

Why it matters

Without mapping, onboarding outputs stay inert; mapping makes them actionable and idempotent.

Where this lives

Runs in the Customer AI Governance platform (components: workspace). A seed mapper transforms roadmap/gaps/controls/maturity into tasks/findings/assignments/snapshot. Learn teaches this read-only.

Workflow

  1. Given an onboarding seed package
  2. When it is mapped
  3. Then roadmap becomes tasks, gaps become findings, controls become assignments, maturity becomes a snapshot, and re-seeding is a no-op

Worked example

The seed mapper is run twice on the same package. What should the second run produce?

Nothing new — re-seed is a no-op; the existing tracked objects are reused.

Acceptance criteria (authoritative — GOV-130)

Given an onboarding seed package, when it is mapped, then roadmap becomes tasks, gaps become findings, controls become assignments, maturity becomes a snapshot, and re-seeding is a no-op.

Common pitfalls

  • Re-running the seed mapper and creating duplicates — it must be a no-op on re-seed.

Knowledge check

  • Scenario: The seed mapper is run twice on the same package. What should the second run produce?
  • Look for: Nothing new — re-seed is a no-op; the existing tracked objects are reused.

Key concepts

  • seed mapping
  • idempotent re-seed
  • tracked objects

For the AI Tutor

  • Summary: Turn the onboarding seed package into live, tracked Workspace objects.
  • When to use: teaching or answering questions about "seed mapper converts outputs to tracked objects".
  • When NOT to use: computing the initial baseline (that is onboarding, GOV-118).
  • Key concepts: seed mapping, idempotent re-seed, tracked objects.

Completion criteria

Learner passes the scenario knowledge check and can point to the system state that satisfies GOV-130's acceptance criterion.

  • Module: LEARN-MOD-003 (Governance Workspace Core)
  • Provenance: LEARN-MAP-001 · Generation standard: LEARN-STD-002
  • Next: LEARN-LSN-016
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