Warranty Claim Analyst
Reads claims as engineering data, not as a cost line
- 8hard rules
- Things it must never do, enforced in every run
- 5handover rules
- Conditions where it stops and gives the work to a person
- 8output fields
- A structured result, not a paragraph you have to re-read
- ≤7steps per run
- Bounded work: at most 5 tool calls, enforced by the runtime
Read-only by design. This agent has no path to sending, spending, publishing or committing anything. Where that limit is the product, removing it would remove the reason to trust the output.
Overview
A manufacturer learns about a defect three ways, in order of cost: a pattern in warranty claims, a customer complaint campaign, or a recall.
Almost everyone processes claims as a cost to minimise and throws away the signal inside them. Claims sit in a finance system, coded by whoever approved the payment, and nobody reads them as engineering data — even though they are the only feedback loop reporting what actually happens to a product in the field.
The pattern is never in the total. It is in the intersections. A failure mode concentrated in one production batch is a manufacturing problem. The same failure across all batches but only in hot climates is a design problem. Concentrated in one installer, it is a training problem. Failures clustering just before warranty expiry is a durability problem; clustering just after is a different conversation entirely.
This agent reads claims across those dimensions, separates the causes, projects exposure across units still in warranty, and says how confident each finding is. Timing is the whole value: a defect found early is a production fix, and found late it is a field campaign across everything sold since.
It makes no safety determination and never decides whether to recall.
Benefits
Defects found at production cost
Rather than at field campaign cost.
The right fix for the right cause
A design change will not fix a batch problem.
Claims data finally earning its keep
It is the only real field feedback you get.
What it does
Separates manufacturing from design
Concentrated in one batch is a process problem. Across all batches in one climate is a design problem. Same failure, opposite fixes.
Reads age at failure
Clustering just before warranty expiry is durability. Just after is a conversation you will have anyway, without the claims.
Finds the installer pattern
A failure concentrated in one dealer's work is training, not engineering. The total never shows it.
Projects exposure across the field
What the pattern implies for units still in warranty, and what that costs if nothing changes.
States confidence honestly
Three claims is not a pattern, and the report says so rather than promoting it.
Decides no recall
It escalates a safety signal immediately and makes no safety determination of any kind.
What this changes
What this changes about your week
- It takes over
- Reading warranty claims as engineering data rather than as a cost line.
- Done today by
- Nobody. Claims sit in a finance system coded by whoever approved payment.
- How often
- Never, which is why defects are found by recall.
- Typical manual effort
- Every failure mode has to be crossed against batch, climate, installer and age.
Why Manufacturing in particular. The pattern is never in the total — it is in the intersections. Concentrated in a batch is manufacturing; spread across batches but concentrated in heat is design. Same failure, opposite fixes.
Runs unattended
Started by you or by an event, and it finishes on its own. Nothing waits for someone to be at a desk.
The same standard every time
The two-hundredth item is held to the bar the first one was. Consistency is the part people cannot sustain.
It cannot act on its own
Warranty Claim Analyst has no path to sending, spending or committing. That limit is why its output is safe to act on.
How it runs
This agent runs server-side through the PROMIVO runtime. Each run is logged step by step and every tool call is permission-checked before it executes.
- 1InputValidated against the agent input schema
- 2Modelclaude-opus-5 with automatic fallback
- 3Toolsextract_structured_data
- 4PermissionsRuns READ actions automatically; anything higher waits for approval
- 5OutputStructured result matching the output schema
- 6LoggingTokens, duration and every step recorded
Demo
Demo dataIllustrative sample output, abridged.
Input
{
"claims": [],
"period": "2025–2026",
"currency": "USD",
"minimumSample": 12,
"warrantyMonths": 24
}Output
{
"emerging": [
"A connector fault has risen across three consecutive quarters and is concentrated in units still being manufactured. Cheapest to fix today."
],
"escalate": true,
"patterns": [
{
"claims": 141,
"evidence": "Confined to eight consecutive batches across all regions and all installers. A design fault would not stop at a batch boundary.",
"confidence": "high",
"failureMode": "Seal degradation at the pump housing",
"failureRate": 4.2,
"likelyCause": "manufacturing",
"unitsBehind": 3360,
"baselineRate": 0.6,
"concentration": "Batches 2411–2418 only. Absent from every batch before and after.",
"competingExplanations": "A component supplier change in that window would produce the same signature. Worth checking before anything else."
},
{
"claims": 88,
"evidence": "Spread evenly across every batch and installer, concentrated entirely by climate. A production fix would not touch this.",
"confidence": "high",
"failureMode": "Display delamination",
"failureRate": 2.8,
"likelyCause": "design",
"unitsBehind": 3140,
"baselineRate": 0.25,
"concentration": "All batches, but 11x the rate in regions above 35°C.",
"competingExplanations": "None the data supports."
}
],
"disclaimer": "An analysis of your own claims data. No claim has been approved, rejected or altered, nobody has been contacted, no safety determination has been made, and nothing here recommends or rules out a recall or field campaign.",
"ageAtFailure": [
"Seal failures cluster at 19–23 months, just inside a 24-month warranty. That is durability, and the claims stop at expiry rather than the failures stopping."
],
"escalationReason": "A pattern at 7x baseline is concentrated in units still being manufactured, and projected exposure of 1.24m exceeds the warranty reserve.",
"projectedExposure": {
"basis": "Observed rate applied to units still in warranty sharing each pattern's characteristics.",
"unitsAtRisk": 8900,
"projectedCost": 1240000
},
"tooSmallToConclude": [
"Four clusters of 3–7 claims each. Reported as such rather than ranked as findings."
]
}Requirements
Integrations
No integrations required.
Before you start
- Warranty claims with failure mode, date, and cost
- Product, batch or serial data, and date of sale
- Region or installer, where you record it
- Units sold per batch, for rate calculations
- Requires the All-Access plan or higher
Use cases
Monthly quality review
Patterns by batch, region, installer and age.
After a new product launch
Early field signal, while a production fix is still possible.
Supplier quality disputes
Whether the pattern points at a component or an assembly.
Warranty reserving
Exposure from patterns already visible in the data.
Pricing
All-Access
Billed monthly through your PROMIVO subscription. Cancel at any time.
Runs consume your plan allowance for agent executions and tokens. See plan limits
FAQ
Does it decide whether to recall?
No, and it must not. A recall is a safety, legal and regulatory decision. Where a pattern suggests a safety issue it stops and escalates immediately, without characterising the risk.
Does it approve or reject claims?
No. It never touches an individual claim. It reads the population for patterns.
How many claims does it need?
It reports confidence per pattern and says when a cluster is too small to conclude anything. A three-claim pattern presented as a finding is how expensive false alarms start.
Reviews
Reviews open once customers have run this agent.
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