Thanvisree Thanvisree

Telecom

INDUSTRY

Telecom

AI-Powered Network Operations for Telecom Leaders

Telecom operators manage millions of devices and billions of transactions. Our AI Network Automation Agent and security services help telecom companies reduce OPEX, improve network reliability, and secure their infrastructure.…

TRAI QoS Regulations DoT License Conditions CERT-In Directives NIS2 (international) TM Forum Frameworx ISO 27001
78%
Incident Reduction
3 min
MTTR (was 38 min)
45K+
Devices Under Management
₹25Cr
Annual NOC OpEx Savings
Industry Pain Points

Challenges We Solve in Telecom

Alert Storm & NOC Fatigue

Operators generate 2,000–5,000 alerts per day across RAN, transport, and core. Manual correlation leads to missed root causes and MTTR averaging 30–60 minutes.

5G Rollout Complexity

Dense 5G NR deployments require thousands of RF parameter tunings that are prohibitively time-consuming to do manually. Mis-configuration causes interference and throughput degradation.

Revenue Assurance Leakage

Interconnect fraud, SIM box bypass, and CDR anomalies cause 2–5% revenue leakage. Detection is reactive and weeks behind the fraud events.

What We Deliver

Use Cases We've Deployed in Telecom

Specific capabilities we've built and run for Telecom organisations — not PowerPoint features.

Autonomous Network Configuration

Zero-touch provisioning and intent-based networking across RAN, core, and transport — eliminating CLI work across 50K+ device estates.

5G Rollout Orchestration

Automated site commissioning, neighbour cell optimisation, and RF parameter tuning to accelerate 5G coverage rollouts by 40%.

BSS/OSS Workflow Automation

End-to-end order management, provisioning, and fault ticket workflows integrated across Ericsson, Nokia, and Huawei NMS stacks.

Network Capacity Planning

AI forecasting models predicting congestion hotspots 72 hours ahead, enabling proactive capacity rebalancing before SLA breaches.

SLA Breach Prediction & AIOps

Anomaly detection on KPI streams flags degraded cells, transport faults, and core congestion with sub-minute alert latency.

TRAI / DoT Compliance

Automated QoS benchmarking, call drop reporting, and spectrum utilisation reports maintaining continuous TRAI regulatory compliance.

Client Success Story

Real Results from a Real Engagement

Top-5 Indian Telecom Operator (120M subscribers, 45K managed network nodes)

THE CHALLENGE

NOC team manually handling 2,400+ daily alerts across 45K network nodes. MTTR averaging 38 minutes, triggering SLA penalty clauses with enterprise customers worth ₹2Cr/month in credits.

OUR SOLUTION

Deployed AI NOC with autonomous root-cause analysis, alert correlation, and self-healing playbooks — integrated into the existing Ericsson OSS and NetCracker NMS via standard SNMP and Netconf APIs.

RESULTS ACHIEVED
  • 78% reduction in network incidents within 6 months of deployment
  • MTTR improved from 38 minutes to under 3 minutes for 90% of incident categories
  • ₹25Cr annual OpEx savings — NOC headcount frozen while network grew 35%
78% reduction in network incidents

Our Services for Telecom

AI network automation & MTTR reduction
Network security assessment & hardening
OSS/BSS security testing
Telecom cloud migration (AWS/Azure)
DevOps for telecom software
NOC automation and AI alerting

Typical Clients

Mobile Network Operators ISPs Tower Companies VoIP Providers
78%

reduction in network incidents

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FAQ

Telecom — Common Questions

Yes. We have pre-built adapters for Ericsson ENM, Nokia NetAct, Huawei U2020, and Ciena Blue Planet. Cross-vendor RCA correlation is a core differentiator.

We use dynamic baseline learning per cell/node with contextual suppression (planned maintenance windows, known flapping links). False-positive rates typically drop from 40–60% to under 5% within 30 days.

We recommend 90 days of historical alarm and KPI data for initial model training. The system continues to improve with each incident — most operators see significant improvement within the first 45 days of live operation.