01
COPQ
Prioritise and reduce the recurring quality losses with greatest financial exposure.
By RoleQuality Head
AI Quality Governance
Govern product and process quality against customer requirements.
QAI continuously governs product and process quality against customer requirements—helping quality leaders prevent escapes, prioritise risks, reduce COPQ and ship with confidence.
Process capabilityCpK 1.18
Evidence-backed findingDrift detected before rejection limit
The operating gap
The data exists. The connected explanation arrives too late.
Quality evidence is spread across requirements, products, processes, machines, suppliers and time. The risk is recognising a potential escape only after nonconforming product reaches the customer.
Dataviss connects the evidence before recommending the investigation.
Value for Quality Head
Operational outcomes your role is already accountable for.
02
Prevention
Identify product and process risk before it becomes a quality escape.
03
Customer conformance
Govern quality evidence against customer requirements and shipment risk.
04
CAPA
Verify whether corrective action reduced recurrence before closing it.
Decisions, not dashboards
The recurring questions your Analyst stays on watch for.
Your systems remain the source of truth. Dataviss reads the available evidence, identifies meaningful deviation and prepares a reviewable Decision Brief.
01
Which customer requirement is at risk?
Rank product and process risk using conformance, recurrence, severity and customer exposure.
Evidence · Requirements · SPC · Inspection · Complaints
02
Where is a quality escape most likely?
Relate defect patterns to machine, material, supplier, shift, process and product context.
Evidence · QMS · MES · PFMEA · PPAP
03
Did the corrective action work?
Compare the operating window and recurrence pattern before and after implementation before approving closure.
Evidence · CAPA · 8D · SPC · Inspection
Decision Brief · Role output
What changed
Why it matters
What is at risk
What to investigate next
The Analyst performs the watching and evidence work. Your accountable leaders retain validation and decision authority.
Relevant intelligence layer
Use the products that fit the decision. Keep the systems already running.
AI Quality Analyst
QAI
Continuously governs product and process quality and prepares an evidence-backed quality Decision Brief.
Quality Operations Application
Qualitiviss
Runs QMS, SPC and quality-engineering workflows with traceable evidence.
Visual Quality
DatVision AI
Connects inspection exceptions, images, codes and traceability to quality context.
Proof from daily operations
Three years in daily quality operations.
Qualitiviss supports more than 10 Wheels India plants, with QAI recently rolled out pan-India. Dataviss quality applications also support a 100+ Tier-1 and Tier-2 automotive supplier ecosystem across India and international markets.
10+ Wheels India plants
Pan-India QAI rollout
100+ supplier ecosystem
Enterprise operating model
Controlled architecture. Evidence first. Humans accountable.
Keep systems of record
ERP, MES, SCADA, QMS, BMS and existing applications remain in place.
Govern access and evidence
Deployment, data access and evidence boundaries follow the approved operating scope.
Retain decision authority
The Analyst recommends what to investigate; accountable experts validate and decide.
Start with one decision
Review one quality-governance risk
Bring a customer requirement, recurring defect, quality escape, COPQ concern or CAPA that needs stronger evidence.