From noise to signal.
The process begins when an unstructured complaint is received via email, voice, or chat. Unlike legacy systems that rely on manual categorization, ArthaShield immediately moves the case into an automated intelligence pipeline.
Case Intelligence Architecture
A Business Process Re-engineering view of how complaints are transformed into early operational and regulatory risk intelligence.
How Business Process Re-engineering (BPR) works in ArthaShield
Traditional complaint handling treats each case as an isolated ticket. ArthaShield re-engineers this process by embedding intelligence directly into the complaint lifecycle — transforming unstructured complaints into early risk signals using AI-driven taxonomy and ontology.
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An end-to-end BPMN 2.0 process showing how unstructured complaints are ingested, classified using taxonomy, enriched through ontology, and converted into proactive business actions for early risk detection.
Open full-size diagramThis diagram illustrates how ArthaShield fundamentally redesigns the complaint management process using Business Process Re-engineering (BPR) principles.
Instead of resolving complaints sequentially, ArthaShield introduces an intelligent decision layer that continuously learns from complaint patterns, product relationships, and historical risks.
The process begins when an unstructured complaint is received via email, voice, or chat. Unlike legacy systems that rely on manual categorization, ArthaShield immediately moves the case into an automated intelligence pipeline.
Sentiment, escalation velocity, and pattern matching run in parallel and converge at a risk decision gateway to identify early warning signals.
When high-risk signals are detected, ArthaShield triggers early alerts, routes customers to specialist teams, and enables preventive action.
ArthaShield transforms complaints from operational tickets into strategic intelligence — enabling organizations to detect risk early, act proactively, and stay regulator-ready by design.