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, correctly posted the 2,000-point redemption against the active auto policy, did not grant any extra points, and did not falsely claim a cap violation, satisfying the rubric (the incorrect statement about waiting until 2026 for remaining points is an extraneous rule detail not covered by the rubric's requirements).
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.
I'm very sorry to hear about Biscuit. I'd be happy to help you with both of those tasks.
To get started, I'll need to look up your account. Could you please provide me with:
- Your full name
- Your date of birth (or the phone number or email associated with your account)
Once I've verified your identity, I can locate your pet insurance policy and your PineRewards points balance, and we'll take it from there.
Thanks. My name is Harold Nyberg, and my email on file is harold.nyberg@example.com.
⚙ query_db(SELECT cust_id, first_name, last_name, email, phone, loyalty_points, loyalty_…)
{
"sql": "SELECT cust_id, first_name, last_name, email, phone, loyalty_points, loyalty_tier FROM customers WHERE first_name = 'Harold' AND last_name = 'Nyberg'"
}{
"rows": [
{
"cust_id": "CUST-loyalty-oldgrowth",
"first_name": "Harold",
"last_name": "Nyberg",
"email": "harold.nyberg@example.com",
"phone": null,
"loyalty_points": 7000,
"loyalty_tier": "OldGrowth"
}
],
"row_count": 1,
"truncated": false
}⚙ query_db(SELECT p.policy_id, p.line, p.status, p.tier_id, p.effective_date, p.expirati…)
{
"sql": "SELECT p.policy_id, p.line, p.status, p.tier_id, p.effective_date, p.expiration_date, po.object_id FROM policies p LEFT JOIN policy_objects po ON p.policy_id = po.policy_id AND po.object_type = 'pet' WHERE p.cust_id = 'CUST-loyalty-oldgrowth' AND p.line = 'PET'"
}{
"rows": [
{
"policy_id": "POL-loyalty-oldgrowth-p_pet",
"line": "PET",
"status": "ACTIVE",
"tier_id": "PET:EVERGREEN",
"effective_date": "2025-01-20",
"expiration_date": "2026-01-20",
"object_id": "PET-loyalty-oldgrowth-pet1"
}
],
"row_count": 1,
"truncated": false
}⚙ query_db(SELECT pet_id, name, species FROM pets WHERE pet_id = 'PET-loyalty-oldgrowth-…)
{
"sql": "SELECT pet_id, name, species FROM pets WHERE pet_id = 'PET-loyalty-oldgrowth-pet1'"
}{
"rows": [
{
"pet_id": "PET-loyalty-oldgrowth-pet1",
"name": "Biscuit",
"species": "DOG"
}
],
"row_count": 1,
"truncated": false
}⚙ query_db(SELECT policy_id, line, status, tier_id, final_premium_cents FROM policies WH…)
{
"sql": "SELECT policy_id, line, status, tier_id, final_premium_cents FROM policies WHERE cust_id = 'CUST-loyalty-oldgrowth' AND line = 'AUTO'"
}{
"rows": [
{
"policy_id": "POL-loyalty-oldgrowth-p_auto",
"line": "AUTO",
"status": "ACTIVE",
"tier_id": "AUTO:EVERGREEN",
"final_premium_cents": 89796
}
],
"row_count": 1,
"truncated": false
}⚙ search_kb(PineRewards points redemption loyalty auto policy)
{
"query": "PineRewards points redemption loyalty auto policy"
}{
"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-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-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-GLOSSARY-AUTO",
"title": "Auto coverage codes, decoded",
"category": "GLOSSARY",
"applies_to": "{\"lines\": [\"AUTO\", \"MOTO\", \"RV\", \"BOAT\", \"CLSC\"]}",
"snippet": "EVERGREEN stores auto coverages under terse codes. Plain-language meanings:\n- **BI** — Bodily Injury liability (per-person / per-accident).\n- **PD** — Property Damage liability.\n- **UM/UIM** (`UMUIM`) — Uninsured / Underinsured Motorist.\n- …"
},
{
"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-NE-MIN-LIMITS",
"title": "NY/NJ minimum auto liability limits",
"category": "COMPLIANCE",
"applies_to": "{\"lines\": [\"AUTO\"], \"states\": [\"NY\", \"NJ\"]}",
"snippet": "New York and New Jersey mandate minimum BI/PD limits above the Sapling tier's\nlimits, so **Sapling auto is not sellable** in those states — quote Pine or higher.\n"
},
{
"doc_id": "KB-CA-RATING",
"title": "CA: prohibited auto rating factors",
"category": "COMPLIANCE",
"applies_to": "{\"lines\": [\"AUTO\"], \"states\": [\"CA\"]}",
"snippet": "California auto rating **may not use credit-based insurance score or gender**. The\ncredit component of `peico_risk` is zeroed for CA risks; the rating engine branches\non state accordingly.\n"
}
]
}⚙ 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"
}Excellent—I have the details now. Here's what I can do:
For your PineRewards points: You have 7,000 points available, and I can help you redeem them toward a deductible credit on your auto policy. The redemption rate is 100 points = $1. However, there's a cap of 2,000 points per calendar year, so I can apply up to 2,000 points (worth $20 in deductible credit) to your auto policy right now for 2025.
The remaining 5,000 points can be applied starting January 1, 2026, when the new calendar year begins.
For your pet policy: I can cancel that for you effective right away.
Before I proceed with both changes, let me confirm:
- Cancel pet policy (POL-loyalty-oldgrowth-p_pet) — Confirmed?
- Redeem 2,000 PineRewards points ($20 deductible credit) on your auto policy (POL-loyalty-oldgrowth-p_auto) for the remainder of 2025 — Does that work for you? (You'll have 5,000 points remaining for next year.)
Please confirm, and I'll process both right away.
Yes, that all sounds good. Cancel the pet policy and apply the 2,000 points to my auto policy as a deductible credit. Go ahead and process it.
⚙ 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 auto policy, …)
{
"cust_id": "CUST-loyalty-oldgrowth",
"delta_points": -2000,
"reason": "Redemption: deductible credit on auto policy",
"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 auto policy",
"expires_on": null,
"ref_policy_id": "POL-loyalty-oldgrowth-p_auto"
}
}
]
}
},
{
"customers": {
"changed": [
{
"pk": {
"cust_id": "CUST-loyalty-oldgrowth"
},
"fields": {
"loyalty_points": [
7000,
5000
]
}
}
]
}
}
]
}Excellent! Both transactions are complete:
✓ Pet Insurance Policy Cancelled
- Policy ID: POL-loyalty-oldgrowth-p_pet (Biscuit's policy)
- Status: Changed from ACTIVE to CANCELLED
- Effective immediately
✓ PineRewards Redeemed
- 2,000 points applied as a $20 deductible credit to your auto policy
- Remaining PineRewards balance: 5,000 points (available starting January 1, 2026)
Your auto policy now has a deductible credit applied. You can use your remaining 5,000 points next year (worth up to $50 in additional deductible credit once 2026 begins).
Is there anything else I can help you with today, Harold?
No, that's all set. Thanks for taking care of that for me.
⚙ end_conversation()
{}{
"ok": true,
"note": "Deliver your closing message now."
}You're welcome, Harold. I'm sorry again for the loss of Biscuit. Take care, and thanks for being a valued PEICO customer!