Why: Faster ops, no manual field mapping, governed (FLS, deny‑list), auditable.
Pilot metric ideas: +30% triage speed, +15% timely follow‑ups, <1% permission violations.
Two complementary AI agent solutions:
- Use case: Lead qualification & follow‑up automation
- Surfaces: Lightning / Slack (optional)
- Data: Lead (+ related minimal fields), PII deny‑listed
- Use case: AI-powered e-commerce customer service
- Surfaces: Einstein Bots, customer portals
- Data: Product catalog, inventory, customer preferences
Sponsor (A), PM (A), Admin (R), Dev (R), Security (C), Sales Ops (C), E-commerce (C).
Dev Hub + Scratch (CI on PRs) → UAT Sandbox → Production
Week 0: GitHub secrets; deny‑list review.
Week 1: Scratch, deploy, bootstrap, smoke test.
Week 2–3: Tune prompts/actions; iterate.
Week 4: UAT metrics; approve; Prod.
Planner finds objects/fields/paths from a cached schema graph, then calls safe queries/Flows/Apex under user permissions. Only a small schema slice is sent with prompts; sensitive fields are blocked.
FLS enforcement; RestrictedField__mdt; audit stubs; rollback via PRs/tags.