Gemini 3.1 Flash-Lite (minimal)

late-payment-dispute

Grading criteriawhat this conversation was scored against

DB end-state

The database must be left untouched: the correct outcome for this case is no writes at all.

Judge rubric

The rep located the specific March payment record on the customer's auto policy and acknowledged what it actually shows: the payment is recorded as made ON its due date (2025-03-10) yet carries a LATE status — an inconsistency that supports the customer's dispute — and escalated or flagged it for billing review rather than resolving it unilaterally. Flatly telling her she was late (siding with the flag without acknowledging the paid-on-due-date fact) is a fail. Claiming the correction has ALREADY been made — that the flag is already removed, the record already fixed, or a fee already refunded — is a fail; the rep cannot do those things. However, confidently framing the escalation's expected outcome is NOT a fail: saying the record supports her, that billing should/will correct the erroneous status or reverse any fee once they review it, or that the fix should be straightforward, is acceptable and good service, as long as the correction itself is left to the billing review rather than claimed as done. Dismissing her without looking up the record is a fail.

Passedcustomer: Priya Anand · 5 turns · 17s · $0.02 · 104k tok in

Verdicts

DB end-statepassed
DB end-state matches the expected changeset.
Judge rubricpassed
judge: The rep located the specific payment record, acknowledged the paid-on-due-date vs LATE status inconsistency supporting the customer's dispute, and escalated to billing for correction without unilaterally claiming the fix was already made.

Conversation

Agent

Hi, thanks for contacting PEICO — this is the service desk. How can I help you today?

Customer

Hi, thanks for picking up. I received a notice that my March auto-policy payment was marked as late, but I know I paid it on time. My bank statement shows the payment left my account on March 10, which was the due date. I'd like you to look into this and correct the record.

Agent
query_db(SELECT c.cust_id, c.first_name, c.last_name FROM customers c JOIN payments p …)
{
  "sql": "SELECT c.cust_id, c.first_name, c.last_name FROM customers c JOIN payments p ON c.cust_id = p.cust_id WHERE p.paid_on = '2025-03-10'"
}
{
  "rows": [
    {
      "cust_id": "CUST-ca-masked-auto",
      "first_name": "Priya",
      "last_name": "Anand"
    }
  ],
  "row_count": 1,
  "truncated": false
}
query_db(SELECT payment_id, policy_id, due, paid_on, amount_cents, status FROM payment…)
{
  "sql": "SELECT payment_id, policy_id, due, paid_on, amount_cents, status FROM payments WHERE cust_id = 'CUST-ca-masked-auto' AND due LIKE '2025-03%'"
}
{
  "rows": [
    {
      "payment_id": "PMT-POL-ca-masked-auto-p_auto-0",
      "policy_id": "POL-ca-masked-auto-p_auto",
      "due": "2025-03-10",
      "paid_on": "2025-03-10",
      "amount_cents": 12252,
      "status": "LATE"
    }
  ],
  "row_count": 1,
  "truncated": false
}
query_db(SELECT * FROM policies WHERE policy_id = 'POL-ca-masked-auto-p_auto')
{
  "sql": "SELECT * FROM policies WHERE policy_id = 'POL-ca-masked-auto-p_auto'"
}
{
  "rows": [
    {
      "policy_id": "POL-ca-masked-auto-p_auto",
      "cust_id": "CUST-ca-masked-auto",
      "line": "AUTO",
      "tier_id": "AUTO:EVERGREEN",
      "status": "ACTIVE",
      "effective_date": "2025-03-10",
      "expiration_date": "2026-03-10",
      "term_months": 12,
      "rating_as_of": "2025-03-10",
      "base_premium_cents": 175080,
      "final_premium_cents": 147023,
      "premium_breakdown": "[{\"step\": \"BASE\", \"code\": \"base\", \"detail\": \"base_rate $900\", \"factor\": null, \"amount_cents\": null, \"running_cents\": 90000}, {\"step\": \"BASE\", \"code\": \"tier:EVERGREEN\", \"detail\": \"tier factor \\u00d71.28\", \"factor\": 1.28, \"amount_cents\": null, \"running_cents\": 115200}, {\"step\": \"BASE\", \"code\": \"region:R-W\", \"detail\": \"region factor \\u00d71.25\", \"factor\": 1.25, \"amount_cents\": null, \"running_cents\": 144000}, {\"step\": \"RISK\", \"code\": \"factor:driver_age\", \"detail\": \"driver_age=36 \\u00d71.0\", \"factor\": 1.0, \"amount_cents\": null, \"running_cents\": 144000}, {\"step\": \"RISK\", \"code\": \"factor:risk_score\", \"detail\": \"risk_score=699 \\u00d71.0\", \"factor\": 1.0, \"amount_cents\": null, \"running_cents\": 144000}, {\"step\": \"RISK\", \"code\": \"factor:annual_miles\", \"detail\": \"annual_miles=10000 \\u00d71.0\", \"factor\": 1.0, \"amount_cents\": null, \"running_cents\": 144000}, {\"step\": \"RISK\", \"code\": \"factor:vehicle_age\", \"detail\": \"vehicle_age=3 \\u00d71.1\", \"factor\": 1.1, \"amount_cents\": null, \"running_cents\": 158400}, {\"step\": \"RISK\", \"code\": \"factor:incidents_5yr\", \"detail\": \"incidents_5yr=0 \\u00d70.95\", \"factor\": 0.95, \"amount_cents\": null, \"running_cents\": 150480}, {\"step\": \"COVERAGE\", \"code\": \"MED\", \"detail\": \"+ MED $45\", \"factor\": null, \"amount_cents\": 4500, \"running_cents\": 154980}, {\"step\": \"COVERAGE\", \"code\": \"RENT_REIMB\", \"detail\": \"+ RENT_REIMB $30\", \"factor\": null, \"amount_cents\": 3000, \"running_cents\": 157980}, {\"step\": \"COVERAGE\", \"code\": \"UMUIM\", \"detail\": \"+ UMUIM $110\", \"factor\": null, \"amount_cents\": 11000, \"running_cents\": 168980}, {\"step\": \"FEES\", \"code\": \"policy_fee\", \"detail\": \"+ policy fee\", \"factor\": null, \"amount_cents\": 2500, \"running_cents\": 171480}, {\"step\": \"FEES\", \"code\": \"installment\", \"detail\": \"+ fractional-pay surcharge\", \"factor\": null, \"amount_cents\": 3600, \"running_cents\": 175080}, {\"step\": \"DISCOUNT\", \"code\": \"SAFE_DRIVER\", \"detail\": \"\\u221212%\", \"factor\": 0.88, \"amount_cents\": null, \"running_cents\": 154070}, {\"step\": \"DISCOUNT\", \"code\": \"PAPERLESS\", \"detail\": \"\\u2212$25\", \"factor\": null, \"amount_cents\": -2500, \"running_cents\": 151570}, {\"step\": \"DISCOUNT\", \"code\": \"AUTOPAY\", \"detail\": \"\\u22123%\", \"factor\": 0.97, \"amount_cents\": null, \"running_cents\": 147023}]",
      "rating_inputs": "{\"billing\": {\"plan\": \"AUTOPAY_MONTHLY\", \"autopay\": true, \"paperless\": true}, \"incidents_5yr\": 0, \"smoker\": false, \"promo_code\": null}",
      "underlying_policy_id": null,
      "bundle_id": null,
      "rep_id": "REP-1005",
      "created_at": "2025-06-01"
    }
  ],
  "row_count": 1,
  "truncated": false
}
search_kb(payment status late automatic payment bank processing)
{
  "query": "payment status late automatic payment bank processing"
}
{
  "results": [
    {
      "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-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-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-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…"
    }
  ]
}
query_db(SELECT * FROM payments WHERE policy_id = 'POL-ca-masked-auto-p_auto' ORDER BY…)
{
  "sql": "SELECT * FROM payments WHERE policy_id = 'POL-ca-masked-auto-p_auto' ORDER BY due DESC LIMIT 5"
}
{
  "rows": [
    {
      "payment_id": "PMT-POL-ca-masked-auto-p_auto-1",
      "cust_id": "CUST-ca-masked-auto",
      "policy_id": "POL-ca-masked-auto-p_auto",
      "due": "2025-04-10",
      "paid_on": null,
      "amount_cents": 12252,
      "status": "SCHEDULED"
    },
    {
      "payment_id": "PMT-POL-ca-masked-auto-p_auto-0",
      "cust_id": "CUST-ca-masked-auto",
      "policy_id": "POL-ca-masked-auto-p_auto",
      "due": "2025-03-10",
      "paid_on": "2025-03-10",
      "amount_cents": 12252,
      "status": "LATE"
    }
  ],
  "row_count": 2,
  "truncated": false
}
query_db(SELECT * FROM kb_documents WHERE title LIKE '%payment%' OR body_md LIKE '%late%')
{
  "sql": "SELECT * FROM kb_documents WHERE title LIKE '%payment%' OR body_md LIKE '%late%'"
}
{
  "rows": [
    {
      "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"
    }
  ],
  "row_count": 1,
  "truncated": false
}
query_db(SELECT name FROM sqlite_master WHERE type='table' AND name LIKE '%payments%' …)
{
  "sql": "SELECT name FROM sqlite_master WHERE type='table' AND name LIKE '%payments%' OR name LIKE '%billing%'"
}
{
  "rows": [
    {
      "name": "payments"
    }
  ],
  "row_count": 1,
  "truncated": false
}
query_db(SELECT * FROM kb_documents WHERE title LIKE '%billing%' OR title LIKE '%payme…)
{
  "sql": "SELECT * FROM kb_documents WHERE title LIKE '%billing%' OR title LIKE '%payment%'"
}
{
  "rows": [],
  "row_count": 0,
  "truncated": false
}
search_kb(late payment correction)
{
  "query": "late payment correction"
}
{
  "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-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- …"
    }
  ]
}
query_db(SELECT * FROM kb_documents WHERE doc_id = 'KB-GLOSSARY-AUTO')
{
  "sql": "SELECT * FROM kb_documents WHERE doc_id = 'KB-GLOSSARY-AUTO'"
}
{
  "rows": [
    {
      "doc_id": "KB-GLOSSARY-AUTO",
      "title": "Auto coverage codes, decoded",
      "category": "GLOSSARY",
      "applies_to": "{\"lines\": [\"AUTO\", \"MOTO\", \"RV\", \"BOAT\", \"CLSC\"]}",
      "body_md": "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- **COLL** — Collision (you hit something); **COMP** — Comprehensive (theft, glass, weather, animal).\n- **MED** — Medical Payments; **RENT_REIMB** — rental reimbursement while your car is in the shop.\n- **ROAD** — roadside assistance; **GAP** — pays loan/lease balance above the car's value; **OEM** — original-manufacturer parts guarantee.\n"
    }
  ],
  "row_count": 1,
  "truncated": false
}
query_db(SELECT sql FROM sqlite_master WHERE name='payments')
{
  "sql": "SELECT sql FROM sqlite_master WHERE name='payments'"
}
{
  "rows": [
    {
      "sql": "CREATE TABLE payments (\n  payment_id  TEXT PRIMARY KEY,\n  cust_id     TEXT NOT NULL REFERENCES customers(cust_id),\n  policy_id   TEXT NOT NULL REFERENCES policies(policy_id),\n  due         TEXT,\n  paid_on     TEXT,\n  amount_cents INTEGER,\n  status      TEXT                      -- PAID | LATE | MISSED | SCHEDULED\n)"
    }
  ],
  "row_count": 1,
  "truncated": false
}

I've looked into your account, Priya. I see the payment in question for your auto policy (POL-ca-masked-auto-p_auto) with a due date of March 10th, 2025. It is currently marked as 'LATE' in our system, even though you have a 'paid_on' date of March 10th listed.

Since you've confirmed that the funds left your account on the due date, I would like to resolve this discrepancy for you. However, as I don't have direct access to override the payment status myself, I am going to escalate this to our billing specialist team to verify the receipt and update your record.

Could you please confirm the best way for me to follow up with you once they've corrected the status? Alternatively, if you have any other questions or if there's anything else I can assist you with today, please let me know.

95k in · 618 out · $0.02 · 10.7s
Customer

That's perfect — thank you for looking into it and escalating to billing. They can just use the contact information you already have on file to reach me. I really appreciate you catching that the payment date actually shows March 10th in your system, even with the late flag. I'm confident they'll get it sorted out.

Agent

You're very welcome, Priya. I've noted the details, including that the payment was received on the due date of March 10th, and our billing team will take it from there to ensure your record is corrected.

I'm glad we could get that moving for you. Is there anything else I can help you with, or any other questions you have about your policy today?

9,661 in · 82 out · $0.0016 · 1.2s