Qualitiviss + QAI case studies
Qualitiviss + QAI Case Study · Commercial Vehicles

Commercial Vehicle Warranty Analysis: From 78 Days to Closure Within a 45-Day SLA

How Qualitiviss and QAI helped a German-based global commercial vehicle manufacturer manage four times the quality analysis volume at its Oragadam operation.

Commercial vehicle manufacturingOragadam, Tamil NaduWarranty quality analysisHuman-approved closure

A longer warranty expanded the investigation window. The team needed a traceable path from open ticket to approved closure across product failures, manufacturing divisions and Tier suppliers—without losing human accountability for quality decisions.

2 → 5 years

Commercial vehicle warranty period

4×

Volume of cases requiring analysis

78 → ≤45 days

Ticket closure, now within the SLA

50×

Reported analysis and workflow processing speed with QAI

The 50× figure is a team-reported processing-speed gain for analysis and workflow handling within a case. It is separate from the end-to-end ticket closure result.

The Challenge

A five-year warranty quadrupled the analysis queue.

The manufacturer extended its commercial vehicle warranty from two years to five years. As the warranty period expanded, the volume of cases requiring quality analysis quadrupled.

An internally developed case tool existed, but opening a ticket, following up on investigation and closing its file remained heavily manual. One case could involve multiple product failures, manufacturing divisions and Tier suppliers. The warranty team had to establish traceability, assign each part of the investigation, follow actions and obtain human approvals.

At the higher volume, tickets previously took 78 days to close against a 45-day SLA.

The Response

One traceable workflow from open ticket to closed file.

Qualitiviss: quality case workflow

Product traceability, multiple failure issues, ticket status and ownership are managed together. Manufacturing division stakeholders and Tier suppliers receive the relevant work, giving the team a clear view of what needs investigation and who owns the next action.

QAI: analysis and workflow audit

QAI accelerates analysis and audits the workflow as cases progress. Manual tracking and coordination steps are automated, while decisions requiring intervention or approval still go to the responsible people before closure.

Case Lifecycle

Track, analyse, approve, close.

  1. 01

    Open and trace

    Record a warranty quality ticket, its affected product and the multiple failure issues that may require investigation.

  2. 02

    Assign ownership

    Route the relevant work to manufacturing division stakeholders and Tier suppliers, with responsibility and status visible to the warranty team.

  3. 03

    Analyse and audit

    QAI helps process the case evidence and audits the workflow as the investigation moves forward.

  4. 04

    Review and close

    Bring decisions that require intervention or approval to the responsible people before closing the quality file.

The Result

Within the 45-day SLA at four times the volume.

The team brought quality analysis tickets within the 45-day closure SLA, down from the previous 78-day closure time, while handling four times the analysis volume.

OutcomeBeforeWith Qualitiviss and QAI
Warranty quality analysis volumeBaseline4× baseline
Quality analysis ticket closure78 daysWithin the 45-day SLA
Analysis and workflow processingManual baselineReported 50× faster with QAI assistance

The team reports 50× faster processing for previously manual analysis and workflow handling steps with QAI assistance. This does not mean end-to-end ticket closure was 50× faster; that result is the change from 78 days to within the 45-day SLA.

Why It Matters

A longer warranty needs stronger quality case governance.

A five-year warranty gives product failures more time to surface. The challenge is to investigate consistently, trace the affected product, involve the responsible divisions and suppliers, and close each file on time. At Oragadam, Qualitiviss and QAI helped the warranty team manage that work at greater scale, with faster processing and clear human accountability for quality decisions.

Product traceabilityCross-team ownershipWorkflow auditHuman approval