# 05 — Filled Sample: Fictional Occupation Route

This is a fictional teaching example. It is not proof, customer data, legal/compliance advice, technical advice, financial advice, brokerage guidance, lender guidance, employer policy, or a real implementation record.

```yaml
occupation_and_role: "Fictional customer-service operations coordinator"
employer_or_business_context: "Small local repair company example"
jurisdiction_or_program: "Internal service follow-up only; no legal/regulatory decision"
license_registration_or_authority: "Operations manager reviews all customer-facing actions"
job_to_be_done: "Summarize yesterday's unresolved service questions into a review packet"
people_and_rights_affected: "Customers awaiting answers; no eligibility, credit, housing, insurance, medical, or legal decision"
money_or_property_affected: "Potential service quotes are only flagged, not priced or approved by AI"
private_or_restricted_data: "Use fictional/sample rows only until approved real data rules exist"
approved_systems: "Local CSV export or pasted fictional examples only"
exact_ai_preparation_job: "Group questions by issue type, draft neutral internal notes, list missing facts"
human_decisions_and_actions: "Manager verifies facts, chooses response, approves any message, sends manually"
qualified_reviewer: "Operations manager"
proof_required: "Original row ID, issue category, missing facts, manager approval note"
terminal_state: "approval_ready"
```

## Why this is safe

- AI prepares an internal review packet only.
- No customer message is sent.
- No CRM, portal, email, SMS, billing, or production system is changed.
- No pricing, warranty, legal, eligibility, or rights decision is made by AI.
- The example is fictional and contains no private data.