of incident classification and routing is still done manually, consuming officer and analyst hours.
Source: analysis across 15+ government and enterprise workflow deployments.
Netra™ — AI-Assisted Incident Intelligence
See every incident. Catch every fraud. Miss nothing.
Netra™ is a pluggable AI-Assisted incident intelligence layer that sits beside your existing grievance portal, ITSM tool, CRM or complaint system. It plugs in via API, adds classification intelligence, fraud detection, sentiment analysis and executive dashboards. Your system stays in control. Netra stores nothing.
For workflows that matter: Government, Corporate, Citizen. One interface. Four agents. Three flows.
A Pragyametrics product · Built in India · Audit-ready · DPDP 2023 compliant.
Pluggable
Zero data residency
Human-gated
LLM-agnostic
Escalation-priced
3 flows
One platform, three flowsHuman-gated
Input streams
Government PGRS
Corporate ITSM
Customer CRM
Netra MCP
Orchestrator
Human gates
Audit trail
Escalation pricing
Agents
Intake
Verify
Pulse
Insight
Every incident routed
Every closure validated
Every decision traceable
DPDP Act 2023 compliant
RTI-ready audit trails
Docker / Kubernetes ready
On-premises deployable
LLM-agnostic
Zero data residency
The incident reality
Every day, your systems process thousands of incidents. They store them. They route them. They do not think.
Grievance portals, ITSM tools and customer CRMs share the same fundamental gap: they are workflow engines, not intelligence engines. Classification is manual. Fraud goes undetected. Citizen and customer sentiment is ignored. Leadership flies blind until the monthly report.
for a junior officer or analyst to develop the instinct that experienced veterans use to spot fraud and recurring patterns.
Source: practitioner interviews across government, ITSM and financial services operations.
major incident-management systems offer built-in AI-Assisted classification, fraud detection and sentiment analysis without system replacement.
Source: industry analysis across PGRS, CPGRAMS, ServiceNow, Jira, BMC and Freshdesk.
Your officer retires in 3-5 years. Their pattern recognition, built over more than 10,000 cases, walks out the door with them. Your system does not learn from them. Netra does.
Three flows. One platform.
Corporate. Citizen. Bank. Netra speaks all three languages.
Netra™ is not a government-only tool. It is an ITSM add-on, grievance redressal intelligence layer and customer-complaint intelligence system in one product.
Government grievance redressal
Netra plugs into citizen-file workflows across CPGRAMS, PGRS, state portals and municipal complaint systems. It classifies in seconds, routes to the right officer, validates before-and-after evidence, detects fraud risk, reads feedback, and gives secretaries real-time dashboards with hotspots and SLA breaches.
PGRSMulti-languageRTI-readySLA risk
Corporate incident management
Netra plugs into ServiceNow, Jira SM, BMC, Freshdesk and internal ITSM tools. It classifies every new ticket, auto-routes, investigates, validates resolution evidence, reads customer satisfaction signals and gives CIO dashboards with SLA trends and early-warning signals.
ITSM-readyAPI-firstEscalation-priced
Customer complaint resolution
Netra plugs into voice, text and form-based customer complaint systems. It classifies using industry taxonomy, routes to the right team, validates complaint closure, analyzes CSAT voice or text feedback, and produces compliance dashboards for banking, insurance, healthcare and helplines.
DPDP compliantMulti-languageRegulatory-ready
Same 4 agents. Same MCP orchestrator. Same zero-data-residency architecture. Different vocabulary, different system of record, different taxonomy. One Netra.
Business impact
What changes when Netra enters your incident workflow.
Netra is designed to make measurable changes in classification speed, fraud detection, customer sentiment, knowledge retention, leadership visibility, integration cost, model cost and data risk.
Metric
Without Netra
With Netra
Incident classification
Manual, 15-30 minutes per case, inconsistent routing.
AI-assisted classification in seconds with configurable taxonomy.
Fraud / false closure detection
Manual spot-checks and sample audits catch only a fraction.
Real-time AI scoring on every closure; every closure validated.
Citizen / customer sentiment
Unread surveys, missed dissatisfaction and delayed escalations.
Culturally aware sentiment with auto-escalation and reopen thresholds.
Knowledge transfer
Walks out the door when veterans retire.
Captured as configurable AI intelligence that stays.
Executive visibility
Monthly PDF reports and stale dashboards.
Real-time dashboards with predictive alerts and natural language queries.
Integration
18-month replacement project, crore-scale spend.
API plug-in within 4-6 weeks with fixed-price Pilot.
AI model lock-in
Tied to one vendor's API forever.
LLM-agnostic registry; swap models without code changes.
Data-residency risk
Vendor stores citizen or customer data.
Zero data residency. Netra stores nothing, ever.
Typical payback: within the first 60-90 days of a fixed-price Pilot. If Netra does not deliver measurable improvement within the Pilot period, you carry zero cost.
The 4 agents + 1 orchestrator
Purpose-built AI agents that mirror your actual incident workflow. Not a black box.
Every Netra agent mirrors a real stage in your incident lifecycle: intake, verification, feedback and executive intelligence. Each agent is independently deployable, horizontally scalable, stateless except Insight, and human-gated.
Netra MCP
Orchestrator
The brain of Netra™. Routes incident workflows to the right agents, enforces quality gates, governs AI model costs with escalation-mode pricing, maintains complete audit trails and manages the LLM-agnostic tool registry.
Netra Intake
Classification agent
Processes incident reports from text, audio, uploaded documents, images, video keyframes and digital text. Classifies into your taxonomy using hybrid semantic and LLM pipelines with mixed-language inputs, then suggests routing through existing APIs.
Netra Verify
Fraud and closure validation
Validates closure evidence with privacy-first vision: before/after comparison, metadata analysis, GPS mismatch and anomaly detection. Scores every closure for fraud risk and evidence quality.
Netra Pulse
Feedback and satisfaction intelligence
Reads feedback through voice, text and standard CSAT/NPS channels. Detects culturally masked dissatisfaction, indirect complaints and escalation signals so weak closures can be reopened before they become trust failures.
Netra Insight
Executive dashboards and governance
Turns incident streams into dashboards across geography, department, category and SLA. Supports natural-language querying in Hindi and English, predictive alerts, hotspot analysis and early-warning signals.
Incident arrivesNetra Intake classifies, routes and records the first decision point.
Resolution submittedNetra Verify validates evidence before closure.
Feedback capturedNetra Pulse reads satisfaction, sentiment and reopen signals.
Leadership actsNetra Insight highlights trends, hotspots, SLA risk and fraud patterns.
How Netra™ is different
When AI touches grievances, customer complaints and operational incidents, trust is not optional.
Netra earns trust by design: pluggable, zero-data-residency, human-gated, escalation-priced, LLM-agnostic, audit-ready and open-format.
Pluggable, not replacement
Connects via API to ServiceNow, PGRS, CRM or any system of record. No migration, disruption, database changes or loss of authority.
Zero data residency
Netra never stores citizen, customer or incident data. Every agent retrieves context, processes in memory, returns structured results and forgets.
Human-gated at every stage
AI classifies, recommends and scores; officers, analysts and reviewers decide. No autonomous closures. Ever.
Escalation-mode cost
Semantic matching handles most routine incidents. Premium LLMs activate only when confidence drops below threshold, reducing cost versus always-on premium AI.
LLM-agnostic
OpenAI today, Bhashini tomorrow, sovereign or on-premises models next year. Register models in the MCP tool registry without redeployment.
Audit-ready traceability
Every decision has a workflow trace: model version, confidence score, reasoning chain, agent pathway, timestamp and human approval record.
Open-format outputs
Every output exports to JSON, CSV, PDF, Excel and XML. Compatible with Grafana, Power BI, Tableau, ServiceNow, SAP and reporting tools.
Architecture at a glance
4 agents. One orchestrator. 4 layers. Audit-grade foundation.
Netra™ is neutral and unbranded from the user interface down. Your existing system remains the system of record; Netra is the intelligence layer.
Want the reference-architecture deep dive?Agent catalogue, model registry, audit-trail schema and integration protocol available under NDA.
Request the Netra™ Reference Architecture Brief →
Open outputs
Designed for your existing systems, analytics stack and reporting tools.
Netra returns structured outputs that plug into your systems of record, dashboards, audit systems and analytics workflows.
Workflow systemsPGRS, CPGRAMS, ServiceNow, Jira SM, BMC, Freshdesk, CRM, helpdesk and any REST API.
DashboardsGrafana, Power BI, Tableau and existing government or enterprise reporting systems.
Files and reportsJSON, CSV, PDF, Excel and XML for incident classification, evidence scores, satisfaction signals and audit exports.
Audit systemsModel version, confidence score, reasoning chain, agent pathway, approval record and timestamps.
Netra does not replace your system. It makes the incident workflow intelligent.
Real validation
Validated against real APIs, real taxonomy and real incident patterns.
Netra was architecturally validated in the Andhra Pradesh RTGS Innovation Program and evaluated end-to-end against India-scale grievance redressal requirements. Reference walkthroughs are available under NDA.
AI agents: Intake, Verify, Pulse and Insight.
API flows tested with mock PGRS database and response-cycle workflows.
Languages validated: Telugu, Hindi and English with OCR, ASR and cultural sentiment.
Potential cost savings versus always-on premium AI through escalation-mode pricing.
Built for
Any organization that handles incidents, grievances or complaints.
Netra™ fits workflows where classification, evidence validation, feedback intelligence, audit trails and executive visibility matter.
State and central government
CPGRAMS, state grievance portals, municipal 311 systems, district complaint management and CM/PM helplines.
Enterprise IT and operations
ServiceNow, Jira, BMC, Freshdesk, internal ITSM, change management, SLA monitoring and NOC incident management.
Banking and financial services
Customer complaints, RBI CPGRAMS, loan grievances, fraud reporting, regulatory compliance and SEBI complaints.
Healthcare
Patient complaints, adverse-event reporting, clinical incident workflows, NABH compliance and hospital feedback management.
Insurance
Claims processing, fraud detection, customer dispute resolution, IRDAI compliance and policy complaint management.
Law enforcement and public safety
FIR classification, case management, evidence validation, crime pattern detection and hotspot intelligence.
Engagement path
From first conversation to production rollout in four stages.
Fixed-price, fixed-scope and fixed-timeline at every stage. No multi-year licence lock-ins.
Discovery
Fit assessment: does your classification, fraud detection or intelligence challenge match Netra? We tell you honestly if it is a fit.
Reference walkthrough
End-to-end demonstration on a reference workflow with real classification, fraud scoring, sentiment analysis and dashboards.
Pilot engagement
Your actual incident system, data and taxonomy. Netra plugs in, configures agents and delivers measurable results with agreed acceptance criteria.
Production rollout
Deployment with monitoring hooks, observability integration and support. Scale agents independently as volume grows.
If Netra does not deliver measurable classification and fraud-detection improvement within the Pilot period, you carry zero cost. We carry the risk because we trust the product.
Why Pragyametrics
An India-first AI partner that ships incident intelligence products, not slide decks.
Netra™ is built around Indian languages, Indian governance structures and Indian compliance requirements from day one.
India-first by charter
Built for DPDP Act, RTI Act, Indian languages and Indian governance structures from day one.
Productised, not consultancy
Roadmap, versioned releases and per-user licensing. Not a project team that disappears when the contract ends.
Vendor-neutral by design
No lock-in to any LLM provider, cloud platform or tool. Your AI strategy can change; Netra adapts.
Domain + AI hybrid
Incident-delivery veterans combined with AI engineering. We understand incident workflows before writing code.
Built by
Pragyametrics — where engineering meets intelligence.
India-first · Vendor-neutral · On-premises deployable.
Purpose-built for incident intelligence.
Government, corporate and citizen/customer workflows.
Built for Indian languages, standards and governance.
Frequently asked
Questions CEOs and Secretaries actually ask.
Answers recovered from the photographed source page and cleaned for readability.
No. It plugs into your existing system via API. Your system of record stays authoritative. Netra reads data, adds intelligence, and returns structured results. It stores nothing.
Most organizations see measurable ROI within the first 30-90 days through reduced classification time, automated fraud detection and real-time executive intelligence.
Yes. Every Netra agent outputs JSON, CSV, PDF, Excel and XML. It is compatible with Grafana, Power BI, Tableau, ServiceNow, SAP and tools that accept standard formats.
No. Netra is LLM-agnostic. The MCP engine registry can use OpenAI, Anthropic, Google, Bhashini or sovereign/on-premises models. Swap models without changing agent code.
Netra uses cheaper semantic models for routine incidents. Premium LLMs activate only when confidence drops below configured thresholds, giving 5-7x cost savings versus always-on premium AI.
No. Zero data residency by architecture. Every agent retrieves context from your system, processes it in memory, returns results and retains nothing. DPDP Act 2023 compliant.
Yes. Netra has been validated with Telugu, Hindi and English, including handwritten documents, voice input and culturally masked sentiment.
If your system has REST APIs, the Pilot integration typically takes 4-6 weeks. No database changes, schema changes or workflow changes are needed on your side.
ServiceNow and PGRS are excellent workflow systems. They store, route and manage incidents. Netra adds the intelligence layer they were not designed to have.
Netra is deployable on-premises, in private cloud, or in any government data centre or enterprise Kubernetes environment. No mandatory cloud dependency.
Netra is architecturally aligned with DPDP Act 2023, RTI Act, Section 43A, CERT-In guidelines and internal compliance regimes such as IRDAI, SEBI and CAG-ready audits.
See Netra™ on an incident workflow you actually care about.
One conversation, one reference walkthrough, your choice of flow. NDA on day one. Risk-free Pilot.
✉ info@pragyametrics.com · ☎ +91 77090 50817 · Pune, Maharashtra