Ticket Analyzer
Simple queue, AI similarity matches, recommended fix from past resolutions. Built for the service desk, not for engineering.
Reads every ticket.Names the cause.
Error Inspector clusters thousands of tickets, traces them from symptom to root cause, and recommends the fix. Where the product lifecycle closes, before warranty exposure grows.
Lifecycle close
Spec
Build
Verify
Two surfaces, one ontology
Triage in aftermarket. Investigate in engineering.
Service teams work in Ticket Analyzer. One queue, AI similarity matches, the recommended fix a click away. When a cluster forms that the library does not yet know, it escalates to Error Inspector for engineering deep-dive. The root cause and fix that emerge there feed straight back into the same library.
Error Inspector
Cluster trace through symptom, function, signal, root cause. Names the fix that has not been seen before, and turns it into one the library now knows.
Root cause
See the pattern your ticket queue is hiding.
When 340 tickets quietly say the same thing in six languages, Error Inspector clusters the symptom, traces it through function, signal and root cause, and names the part, the firmware and the supplier behind it.
Built for service, production and engineer teams alike.
Ticket Analyzer · Service
One queue, one screen
Every open ticket triaged in a single workspace. No tab juggling between systems.
Reads every language
German, French, Mandarin, Portuguese ticket text understood the same way. No manual translation step.
Recommended fix from past matches
AI ranks the action by past resolution rate. Apply, escalate, or annotate without leaving the screen.
Error Inspector · Engineering
Cluster trace, symptom to root cause
Investigations move four layers deep: symptom, function, signal, root cause. The same trace a senior engineer would build.
Impact radius and warranty exposure
Every cluster comes priced. Vehicles affected, warranty cost, production weeks, recommended fix delivery.
Paths ruled out, evidence cited
Every conclusion ships with its receipts. Supporting evidence and dismissed paths sit next to the answer.
Impact radius
Reveal the stakes, not just the cause.
When SPREAD has the data, it also names the stakes: vehicles exposed, warranty cost on the table, production weeks affected, and the recommended fix. The picture deepens with what you connect: fleet telemetry, warranty system, production calendar. The trace and the fix come with every cluster, even when the rest of the picture is partial.
Vehicles12,400affected by the active cluster
Exposure€4.2Mwarranty cost if unresolved
WindowW48–W03production weeks the issue entered
FixOTAsame-day delivery, 89% past resolution
Cross-program knowledge
Reuse what your engineers already solved.
When SPREAD names a root cause, it links to every prior investigation that named the same one. Same defect on a different platform, same supplier on a different program. The system carries forward what your engineering already knows.
Prior investigationsMEB-2024Apr 2024 PPE-2025Jan 2025 FL24Aug 2025 KS23Nov 2025
BMS thermal derating, Supplier B firmware
Cell balancing threshold, FW regression
Pantograph derating in heat
Inverter limp mode, summer drift
Current investigationE-Platform Gen3Apr 2026
BMS thermal derating, FW v2.14.1, Supplier B
Time to cause7 min
Ontology connected
Trace any ticket to the part behind it.
Instead of an isolated CRM record, each ticket attaches to your engineering data: the affected component, the function it implements, the signal that misbehaved, the standards it falls under, and prior incidents that already named the same cause.
Connected contextComponent · Function · Signal · Standard · Prior incident
How it works
Turn scattered tickets into one named cause.
Listens to every source
Dealer tickets, line defects, pilot test failures, warranty claims. Multilingual, no manual triage required.
Clusters the intent
Groups semantically equivalent reports across languages and writing styles, surfaces the patterns hiding in 48,000 free-text tickets.
Traces through layers
Symptom to function to signal to root cause, with paths ruled out alongside the answer. The same trace a senior engineer would build.
Surfaces the fix
Recommends the action ranked by past resolution rate so engineers act before warranty exposure grows.
Get started
Stop running war rooms.Start solving from day one.
Book a 20-minute walkthrough. We will analyze a real cluster of tickets and show where Error Inspector connects to your engineering ontology.