AI NOC Network

AI-Powered Network Operations Revolution

Digital Platform for FWA + FTTH Excellence

Leading international operators are transforming network operations through intelligent **AI-driven platforms** that deliver predictive planning, intelligent orchestration, and experience-driven delivery.

Proven Scale

100M households passed in India

with measurable improvements across primary KPIs

Global Ready

Repeatable, adaptable architecture enables

fast, cost-efficient, automated CX

Integrated Foundation

Modular OSS/BSS supporting end-to-end

planning, operations, delivery, and care

Broadband X-Ray Platform

AI agents that proactively address issues at the service and experience layer through intelligent scanning and resolution.

S-D-R Framework

Symptom → Diagnosis → Resolution

methodology drives systematic troubleshooting

Massive Scale Processing

Concurrent scanning of millions of symptoms with working diagnosis based on service degradation

Instant Resolution

Resolution delivered in seconds instead of hours

Seamless NOC Integration

AI agent platform integrates directly into existing NOC and OSS workflows, maintaining human oversight while automating resolution processes.

Fault Detection

Network faults generate trouble tickets in Service Management systems

AI Agent Processing

Agents ingest fault data, resolve directly, identify known issues, or classify as unknown

Resolution & Closure

Successful resolution triggers automatic ticket closure with detailed reporting

Human-in-Loop Enhancement

NOC staff handle complex issues while providing feedback for continuous AI improvement

Key Benefits

✅ Maintains existing workflows
✅ Preserves human expertise
✅ Enables continuous learning

Proven Performance Improvements

Deploying AI agents to manage customer experience generates substantial operational improvements across critical KPIs.

First Time Resolution

vs. 60-70% traditional NOC

SLA Compliance

vs. 92-96% traditional NOC

Customer Impact Reduction

Fewer service disruptions

MTBF Increase

Higher system reliability

AI agent troubleshooting drives improvement across core KPIs: faster resolution, telco-grade SLA compliance, reduced customer impact, and fewer recurring issues.

Phased Rollout Strategy - Solve@Scale

Strategic implementation plan delivers incremental value with manageable risk and investment over one year.

Phase	Agent Function	Outcome	Timeline	Investment
Phase 1	Customer to NOC Automation	RCA and trouble ticket assignment with pinpointed problem segmentation	3 months	Baseline
Phase 2	NOC to TAC Automation	NE upgrades automated, self-healing capabilities, SLA improvements	3 months	Incremental
Phase 3	NOC to OEM Automation	Permanent fixes, logic updates, reduced OEM escalations	3 months	Optimized

Phase 1 Impact

Hours to seconds for proactive RCA

Phase 2 Impact

Weeks to hours for network upgrades

Phase 3 Impact

Autonomous network foundation established

AI Noc Networks