cancel-pet-redeem-farewell
Grading criteriawhat this conversation was scored against
DB end-state
{
"policies": {
"changed": [
{
"pk": {
"policy_id": "POL-loyalty-oldgrowth-p_pet"
},
"fields": {
"status": [
"ACTIVE",
"CANCELLED"
]
}
}
]
},
"loyalty_ledger": {
"added": [
{
"pk": {
"entry_id": "*"
},
"row": {
"entry_id": "*",
"cust_id": "CUST-loyalty-oldgrowth",
"ts": "*",
"delta_points": -2000,
"reason": "*",
"expires_on": "*",
"ref_policy_id": "POL-loyalty-oldgrowth-p_auto"
}
}
]
},
"customers": {
"changed": [
{
"pk": {
"cust_id": "CUST-loyalty-oldgrowth"
},
"fields": {
"loyalty_points": [
7000,
5000
]
}
}
]
}
}Judge rubric
The rep handled both requests on this call: (1) cancelled the PET policy — and only the pet policy; and (2) posted the 2,000-point redemption as a deductible credit referencing his AUTO policy — the redemption must sit on a policy that remains active, and the rep either got this right directly or asked and followed his clear answer. Cancelling the wrong policy, posting the redemption against the cancelled pet policy, doing only one of the two requests, or deflecting either to another team, is a fail. Posting ANY points the customer didn't ask for (sympathy or goodwill grants — he declines them explicitly if offered) is a fail. The redemption is compliant (2,000 is within the annual cap; his only prior redemption was last calendar year; his balance covers it) — telling him it exceeds a cap or can't be done is a fail. Condolences and plain confirmation of his remaining 5,000 balance are good service; the rep is NOT required to recite program rules.
Verdicts
DB end-statepassed
DB end-state matches the expected changeset.
Judge rubricpassed
judge: The rep cancelled only the pet policy, posted exactly the requested 2,000-point redemption referencing the still-active auto policy, correctly confirmed the 5,000 remaining balance, gave condolences, and posted no unsolicited goodwill points.
Conversation
Hi, thanks for contacting PEICO — this is the service desk. How can I help you today?
Hi there. I need to cancel my pet insurance policy — my dog Biscuit passed away two weeks ago. And I'd also like to redeem some of my PineRewards points toward my auto policy deductible.
⚙ search_kb(PineRewards points redeem toward deductible pet policy cancellation deceased …)
{
"query": "PineRewards points redeem toward deductible pet policy cancellation deceased pet rules loyalty authority deductible redemption",
"limit": 10
}{
"results": [
{
"doc_id": "KB-LOYALTY-AUTHORITY",
"title": "PineRewards points: what a service rep may post",
"category": "POLICY",
"applies_to": "{\"lines\": \"ALL\"}",
"snippet": "Tiers (Seedling → Sprout → Timber → OldGrowth) are assigned annually from\ntenure and lifetime earning, **not** the current point balance. Points earned\n2019 or later expire **24 months** after the earn date; older entries were\nwritten witho…"
},
{
"doc_id": "KB-CONDO-MASTER",
"title": "Condo loss assessment & the HOA master policy",
"category": "POLICY",
"applies_to": "{\"lines\": [\"CONDO\"]}",
"snippet": "Loss Assessment coverage responds to charges levied by the HOA. Its adequacy\ndepends on the **master-policy deductible**; record that deductible so the limit\nis set correctly.\n"
},
{
"doc_id": "KB-FL-HURRICANE",
"title": "FL: separate hurricane deductible",
"category": "COMPLIANCE",
"applies_to": "{\"lines\": [\"HOME\"], \"states\": [\"FL\"]}",
"snippet": "Florida homeowners policies carry a **separate hurricane deductible** expressed as\na percentage of the dwelling limit, distinct from the flat all-peril deductible.\nIt must be set explicitly before binding.\n"
},
{
"doc_id": "KB-PROMO-PETLOVE",
"title": "PETLOVE terms",
"category": "PROMO",
"applies_to": "{\"lines\": [\"PET\"]}",
"snippet": "20% off pet policies during October 2025 adoption month. Cap $60."
},
{
"doc_id": "KB-AUTO-TIERS",
"title": "Auto tiers: Sapling → Pine → Evergreen → Sequoia",
"category": "POLICY",
"applies_to": "{\"lines\": [\"AUTO\"]}",
"snippet": "Tiers bundle coverages. Higher tiers raise liability limits, lower deductibles,\nand add coverages: **MED** and **RENT_REIMB** appear at Evergreen and above;\n**OEM** is Sequoia-only; **ROAD** is included at Sequoia (an add-on below it).\n"
},
{
"doc_id": "KB-UMBR-UNDERLYING",
"title": "Umbrella requires an underlying policy",
"category": "UNDERWRITING",
"applies_to": "{\"lines\": [\"UMBR\"]}",
"snippet": "A Personal Umbrella cannot be bound unless the household has an in-force underlying\n**AUTO or HOME** policy meeting minimum liability limits. Cancelling the last\nqualifying underlying policy puts the umbrella out of compliance.\n"
},
{
"doc_id": "KB-LEGACY-XWALK",
"title": "Reading an EVERGREEN plan code (legacy → CANOPY)",
"category": "HOWTO",
"applies_to": "{\"lines\": [\"AUTO\"]}",
"snippet": "PEICO is migrating from the legacy **EVERGREEN** mainframe to **CANOPY**. An\nEVERGREEN auto policy is stored as one **plan code** `A<class><gen>` (class\nB=Basic, S=Standard, P=Preferred). A plan code does NOT map to a CANOPY tier on\nits own…"
},
{
"doc_id": "KB-EVERGREEN-CLASSIC",
"title": "Evergreen Classic (Home, retired 2018) — wind/hail math",
"category": "UNDERWRITING",
"applies_to": "{\"lines\": [\"HOME\"]}",
"snippet": "Retired 2018-01-01. Uses a legacy flat-capped wind/hail deductible (1.5% of\ndwelling, capped) rather than the current percentage math. Not re-bindable.\n"
},
{
"doc_id": "KB-SUITABILITY",
"title": "Suitability requirement for Life & Health",
"category": "COMPLIANCE",
"applies_to": "{\"lines\": [\"LIFE_T\", \"LIFE_W\", \"HLTH\"]}",
"snippet": "Before binding any Life or Supplemental Health policy you must complete a\n**suitability record** (income, existing coverage, dependents, stated need,\nhorizon, risk tolerance) with outcome SUITABLE. Selling **whole life** to a\nshort-horizon,…"
},
{
"doc_id": "KB-CLAIMS-STATUS",
"title": "Claim status: FNOL → OPEN → CLOSED, and who may move it",
"category": "POLICY",
"applies_to": "{\"lines\": \"ALL\"}",
"snippet": "**FNOL** = loss reported, not yet accepted for handling. **OPEN** = accepted\nand with an adjuster (the adjuster sets the reserve). **CLOSED** = resolved.\nA service rep may promote FNOL → OPEN once the loss details are confirmed\nwith the cus…"
}
]
}⚙ get_doc(KB-LOYALTY-AUTHORITY)
{
"doc_id": "KB-LOYALTY-AUTHORITY"
}{
"doc_id": "KB-LOYALTY-AUTHORITY",
"title": "PineRewards points: what a service rep may post",
"category": "POLICY",
"applies_to": "{\"lines\": \"ALL\"}",
"body_md": "Tiers (Seedling → Sprout → Timber → OldGrowth) are assigned annually from\ntenure and lifetime earning, **not** the current point balance. Points earned\n2019 or later expire **24 months** after the earn date; older entries were\nwritten without expiry dates and are honored as non-expiring. A service rep\nmay post exactly three kinds of manual ledger entry:\n\n1. **Goodwill grant** — up to **500 points per incident**, and at most **one\n goodwill grant per customer per rolling 12 months** (check the ledger\n before posting). Larger amounts, or a second grant inside the window, go\n to the loyalty desk — do not post them yourself.\n2. **Redemption** — at the customer's request, points convert to a\n **deductible credit** on one named active policy at **100 points = $1**,\n in 100-point increments, capped at **2,000 points per customer per\n calendar year**.\n3. **Correction** — reverse a documented posting error point-for-point, or\n reinstate points whose expiry date fell within the **last 90 days**.\n Older expiries go to the loyalty desk.\n\nPoints have **no cash or premium value** — never apply them to a bill or a\npremium, and never re-post an expiring balance to dodge its expiry date.\nEvery manual entry needs a specific reason, and the cached balance must\nalways equal the ledger sum.\n"
}⚙ query_db(SELECT p.policy_id, p.line, p.status, p.effective_date, p.expiration_date, po…)
{
"sql": "SELECT p.policy_id, p.line, p.status, p.effective_date, p.expiration_date, po.object_type, po.object_id, pet.name AS pet_name, pet.species, c.code AS coverage_code FROM policies p LEFT JOIN policy_objects po ON po.policy_id = p.policy_id LEFT JOIN pets pet ON pet.pet_id = po.object_id AND po.object_type = 'pet' LEFT JOIN policy_coverages pc ON pc.policy_id = p.policy_id LEFT JOIN coverages c ON c.coverage_id = pc.coverage_id WHERE p.cust_id IN (SELECT cust_id FROM pets WHERE name LIKE 'Biscuit') AND (p.line = 'PET' OR po.object_type = 'pet') ORDER BY p.created_at DESC"
}{
"rows": [
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"effective_date": "2025-01-20",
"expiration_date": "2026-01-20",
"object_type": "pet",
"object_id": "PET-loyalty-oldgrowth-pet1",
"pet_name": "Biscuit",
"species": "DOG",
"coverage_code": "ANNUAL_MAX"
},
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"effective_date": "2025-01-20",
"expiration_date": "2026-01-20",
"object_type": "pet",
"object_id": "PET-loyalty-oldgrowth-pet1",
"pet_name": "Biscuit",
"species": "DOG",
"coverage_code": "DEDUCT"
},
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"effective_date": "2025-01-20",
"expiration_date": "2026-01-20",
"object_type": "pet",
"object_id": "PET-loyalty-oldgrowth-pet1",
"pet_name": "Biscuit",
"species": "DOG",
"coverage_code": "DENTAL"
},
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"effective_date": "2025-01-20",
"expiration_date": "2026-01-20",
"object_type": "pet",
"object_id": "PET-loyalty-oldgrowth-pet1",
"pet_name": "Biscuit",
"species": "DOG",
"coverage_code": "EXAM_FEE"
},
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"effective_date": "2025-01-20",
"expiration_date": "2026-01-20",
"object_type": "pet",
"object_id": "PET-loyalty-oldgrowth-pet1",
"pet_name": "Biscuit",
"species": "DOG",
"coverage_code": "REIMB_PCT"
},
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"effective_date": "2025-01-20",
"expiration_date": "2026-01-20",
"object_type": "pet",
"object_id": "PET-loyalty-oldgrowth-pet1",
"pet_name": "Biscuit",
"species": "DOG",
"coverage_code": "WELLNESS"
}
],
"row_count": 6,
"truncated": false
}⚙ query_db(SELECT cust_id, first_name, last_name, loyalty_points FROM customers WHERE cu…)
{
"sql": "SELECT cust_id, first_name, last_name, loyalty_points FROM customers WHERE cust_id IN (SELECT cust_id FROM pets WHERE name LIKE 'Biscuit')"
}{
"rows": [
{
"cust_id": "CUST-loyalty-oldgrowth",
"first_name": "Harold",
"last_name": "Nyberg",
"loyalty_points": 7000
}
],
"row_count": 1,
"truncated": false
}⚙ query_db(SELECT p.policy_id, p.line, p.status, p.final_premium_cents FROM policies p W…)
{
"sql": "SELECT p.policy_id, p.line, p.status, p.final_premium_cents FROM policies p WHERE p.cust_id IN (SELECT cust_id FROM pets WHERE name LIKE 'Biscuit') AND p.line = 'AUTO' ORDER BY p.created_at DESC"
}{
"rows": [
{
"policy_id": "POL-loyalty-oldgrowth-p_auto",
"line": "AUTO",
"status": "ACTIVE",
"final_premium_cents": 89796
}
],
"row_count": 1,
"truncated": false
}⚙ query_db(SELECT entry_id, ts, delta_points, reason, expires_on, ref_policy_id FROM loy…)
{
"sql": "SELECT entry_id, ts, delta_points, reason, expires_on, ref_policy_id FROM loyalty_ledger WHERE cust_id = 'CUST-loyalty-oldgrowth' AND delta_points < 0 AND reason LIKE '%Redemption%' AND ts >= '2025-01-01' AND ts < '2026-01-01' ORDER BY ts DESC"
}{
"rows": [],
"row_count": 0,
"truncated": false
}⚙ query_db(SELECT p.policy_id, p.line, p.status, po2.object_type AS linked_object_type, …)
{
"sql": "SELECT p.policy_id, p.line, p.status, po2.object_type AS linked_object_type, po2.object_id AS linked_object_id, d.dwelling_id, v.vehicle_id, pet.pet_id FROM policies p LEFT JOIN policy_objects po2 ON po2.policy_id = p.policy_id LEFT JOIN dwellings d ON d.dwelling_id = po2.object_id AND po2.object_type='dwelling' LEFT JOIN vehicles v ON v.vehicle_id = po2.object_id AND po2.object_type='vehicle' LEFT JOIN pets pet ON pet.pet_id = po2.object_id AND po2.object_type='pet' WHERE p.cust_id = 'CUST-loyalty-oldgrowth' ORDER BY p.line, p.policy_id"
}{
"rows": [
{
"policy_id": "POL-loyalty-oldgrowth-p_auto",
"line": "AUTO",
"status": "ACTIVE",
"linked_object_type": "vehicle",
"linked_object_id": "VEH-loyalty-oldgrowth-v1",
"dwelling_id": null,
"vehicle_id": "VEH-loyalty-oldgrowth-v1",
"pet_id": null
},
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"linked_object_type": "pet",
"linked_object_id": "PET-loyalty-oldgrowth-pet1",
"dwelling_id": null,
"vehicle_id": null,
"pet_id": "PET-loyalty-oldgrowth-pet1"
}
],
"row_count": 2,
"truncated": false
}I’m very sorry about Biscuit.
I can help with both items. Here’s what I found:
- Your pet policy appears to be POL-loyalty-oldgrowth-p_pet and it’s currently active.
- Your auto policy appears to be POL-loyalty-oldgrowth-p_auto and it’s active.
- You currently have 7,000 PineRewards points.
- PineRewards can be redeemed as a deductible credit at 100 points = $1, in 100-point increments, up to 2,000 points per calendar year. I don’t see any 2025 redemption yet, so you still have the full annual redemption amount available.
Before I make any changes:
- Pet policy cancellation — would you like me to cancel POL-loyalty-oldgrowth-p_pet now?
- Points redemption — how many points would you like to redeem toward the deductible on POL-loyalty-oldgrowth-p_auto?
- Max I can post today is 2,000 points = $20 deductible credit.
Thank you. Yes, go ahead and cancel the pet policy. And I want to redeem 2,000 points as a deductible credit on the auto policy — that's the one I'm keeping.
⚙ cancel_policy(POL-loyalty-oldgrowth-p_pet)
{
"policy_id": "POL-loyalty-oldgrowth-p_pet"
}{
"ok": true,
"rows_affected": 1,
"changeset": {
"policies": {
"changed": [
{
"pk": {
"policy_id": "POL-loyalty-oldgrowth-p_pet"
},
"fields": {
"status": [
"ACTIVE",
"CANCELLED"
]
}
}
]
}
}
}⚙ adjust_loyalty(CUST-loyalty-oldgrowth, -2000, Redemption - deductible credit on active auto …)
{
"cust_id": "CUST-loyalty-oldgrowth",
"delta_points": -2000,
"reason": "Redemption - deductible credit on active auto policy at customer request",
"ref_policy_id": "POL-loyalty-oldgrowth-p_auto"
}{
"ok": true,
"changesets": [
{
"loyalty_ledger": {
"added": [
{
"pk": {
"entry_id": "LL-loyalty-oldgrowth-5"
},
"row": {
"entry_id": "LL-loyalty-oldgrowth-5",
"cust_id": "CUST-loyalty-oldgrowth",
"ts": "2025-06-01",
"delta_points": -2000,
"reason": "Redemption - deductible credit on active auto policy at customer request",
"expires_on": null,
"ref_policy_id": "POL-loyalty-oldgrowth-p_auto"
}
}
]
}
},
{
"customers": {
"changed": [
{
"pk": {
"cust_id": "CUST-loyalty-oldgrowth"
},
"fields": {
"loyalty_points": [
7000,
5000
]
}
}
]
}
}
]
}Done.
- Your pet policy POL-loyalty-oldgrowth-p_pet has been cancelled.
- I redeemed 2,000 PineRewards points toward your active auto policy POL-loyalty-oldgrowth-p_auto.
- Redemption value: $20 deductible credit
- Your remaining PineRewards balance is now 5,000 points.
If you’d like, I can also help you review the auto policy deductible and current coverage.
Perfect. That's all set. Thanks for taking care of that for me.
⚙ end_conversation()
{}{
"ok": true,
"note": "Deliver your closing message now."
}You’re very welcome, and again, I’m sorry for your loss. Thank you for being with PEICO.