Clean and confident
All checks passed and confidence is high. The expert's job becomes a fast confirmation instead of a full manual review.
Kolayz ClaimSense — warranty claim analysis
Warranty claims are still reviewed one by one: photos opened, serial numbers compared, service history checked. ClaimSense does the repetitive part of that review every night — so in the morning, every claim arrives pre-assessed, reasoned, and sorted by what actually needs an expert.
The morning after
ClaimSense recommends, it never decides. The point is not to replace your experts — it is to concentrate their attention on the claims that genuinely need judgment.
All checks passed and confidence is high. The expert's job becomes a fast confirmation instead of a full manual review.
A document is missing or a photo is unusable — correctable issues. The expert requests exactly what is missing from the dealer, with the gap already named.
The system is unsure, or found something substantive. These are the claims that deserve expertise — and now they get it first, with the evidence laid out.
The nightly run
Every step is recorded. For any claim, you can see which checks ran, which were skipped for missing input, and how each photo influenced the outcome.
New claims are pulled from your CRM or dealer system each night — lines, amounts, fault codes, attachments — with no manual data entry.
Photos are classified by AI, unit history and maintenance records are retrieved, and prior claims on the same component are surfaced.
A configurable battery of checks — 13 in the current deployment — each returning a result, a confidence, and flags. Skipped checks stay visible.
A recommendation with a one-line rationale, backed by the full evidence chain — every photo, every check, every flag, one click away.
Before you rely on it
Would this system decide the way your experts do? ClaimSense answers that question with data before it influences a single real claim.
ClaimSense starts by analyzing without writing anything back to your systems. Recommendations are produced and compared — operations continue exactly as before.
Already-closed claims are re-analyzed and the system's recommendation is placed next to the expert's real decision. Contradictions are surfaced as their own category — that is the number that matters.
On every claim, the expert can agree or disagree with a note. That feedback accumulates and calibrates thresholds against your organization's real judgment.
Built for service organizations
ClaimSense runs in production for a commercial-vehicle OEM today. The same engine fits any brand with a dealer or service network and a warranty book to protect.
Integrates with your CRM and dealer systems over standard APIs — SAP C4C in production today. Claims flow in, recommendations flow back.
Designed for KVKK and GDPR from day one: personal and vehicle data stays inside your environment, and customer-facing outputs never expose it.
Runs in your AWS account or on your own servers. The AI layer runs on Kolayz Anka, our private gateway — prompts are never stored.
Checks, thresholds, and decision rules follow your warranty policy and are tuned per deployment — this is your rulebook, executed consistently.
Dealer and model breakdowns reveal what single-claim review never can: the dealer with recurring missing documents, the component failing more than it should.
Trucks and buses today; the engine generalizes to any serial-numbered product with photos, service history, and a warranty policy — from machinery to appliances.
See it on your claims