Warranty and claims automation
Warranty claims settled in days, not quarters, for a tier-1 supplier
A tier-1 supplier received thousands of OEM warranty claims a year as PDFs, portal exports and returned parts. A team of twelve reviewed each one by hand, and disputed claims took months to resolve. We built an AI claims pipeline that classifies, validates and drafts responses, with engineers focused on the claims that actually need them.
- Client
- Tier-1 automotive component supplier
- Region
- Germany and Mexico
- Scale
- 2,000 to 3,000 employees
- Timeline
- 12 weeks including OEM format validation
Representative engagement. Client details are anonymised and figures reflect typical outcomes from comparable deployments.
What the client got
0%
Of claims processed without engineer time
Duplicates, no-fault-found and known-issue claims are handled with evidence attached.
0 days
Median claim resolution
Down from more than a quarter for disputed claims.
0.0M €
Reduction in annual chargebacks
Claims that used to lapse past deadline are now contested on time.
The bottlenecks
Bottleneck 1
Every claim was read by a person
OEM claims arrived from five customer portals in different formats. Analysts transcribed part numbers, failure codes and costs into the quality system before anyone could assess them.
Bottleneck 2
Technical review was a queue
Quality engineers reviewed returned parts in order of arrival. Clear no-fault-found cases waited behind complex root-cause investigations.
Bottleneck 3
Disputes were lost by default
If a response missed the OEM’s deadline, the claim was accepted and charged back. Deadlines were tracked in a spreadsheet.
What we built
Step 1
Claim ingestion from any portal
Portal exports and PDFs are collected on schedule. An LLM extracts claim fields, failure descriptions and attached evidence into the quality management system with a confidence score per field.
Step 2
Classification and routing
Claims are classified against the supplier’s failure taxonomy and matched to known issues, production batches and prior claims. Likely no-fault-found and duplicate claims are flagged with evidence; genuine technical cases are routed to the right engineering team.
Step 3
Response drafting with deadlines
Each claim gets a deadline tracker and a drafted response in the OEM’s required format, citing test results and batch data. Engineers edit and approve; the system submits to the portal.
Step 4
Trend intelligence
A weekly digest surfaces emerging failure patterns by part, plant and batch before they become a recall conversation.
The automation workflow
Warranty claim pipeline
From OEM portal to submitted response
Questions clients ask about this engagement
Does the system reject claims automatically?
No. It drafts the response and attaches evidence. A quality engineer approves every submission. The time saved is in reading, transcribing and searching, not in deciding.
How does it handle new OEM portal formats?
Extraction is schema-driven. A new format means a new mapping, usually a day’s work, not a rebuild.
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Have a similar bottleneck?
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