A Tier-1 telecom operator monitoring 50,000+ network elements generated 2M alerts daily, of which 95% were false positives or low-priority noise. NOC engineers experienced alert fatigue, missing critical issues buried in the flood.

The network experienced an average of 12 major outages per month, each affecting 10,000+ subscribers and costing $150K+ in SLA credits and churn. Mean time to detect (MTTD) was 18 minutes and mean time to resolve (MTTR) was 4.2 hours. Customer complaints reached the NOC before automated alerts 30% of the time.

The operator needed intelligent alert correlation, automated impact assessment, and self-healing capabilities.

The Solution

Agents that collect telemetry, classify anomalies, assess impact, remediate, and report

Vijan.AI deployed 5 agents. The Telemetry Collector monitors all 50,000+ network elements with sub-second data collection. The Anomaly Classifier uses trained models to distinguish real service-impacting issues from transient noise, reducing actionable alerts by 98%. The Impact Assessor estimates customer exposure per anomaly by correlating network topology with subscriber data. The Remediation agent executes predefined config changes for known issue patterns or safely rolls back recent changes that triggered problems. The Incident Reporter generates real-time NOC summaries with root cause, impact, and resolution status.

Autonomous Agents

How each agent reasons, decides, and acts

Step 1 · Network

Network Optimization Agent

Centralized Network Health Orchestration

Monitors network performance metrics and coordinates fraud, tower, spectrum, and restoration agents to autonomously detect, diagnose, and resolve service-impacting events.

Input

Network alarms, KPI dashboards, traffic patterns, customer complaints

Output

Alert priorities, action plans, resource allocations, escalation reports

Calls network management system for real-time alarms, latency, and packet loss
Calls ML anomaly model to detect deviations in traffic, handovers, and call drops
Autonomous decision: prioritize incidents, route to specialists, or auto-remediate
Routes tasks to Fraud, Tower, Spectrum, and Restoration agents based on event type

Step 2 · Fraud

Fraud Detection Agent

Real-Time Fraud Detection & Account Suspension

Analyzes call detail records and usage patterns to detect SIM cloning, international fraud, and IRSF schemes, autonomously suspending accounts and notifying law enforcement.

Input

CDRs, usage velocity, international traffic, payment history

Output

Fraud alerts, account suspensions, law enforcement reports

Calls CDR database for high-volume international calls and unusual roaming patterns
Calls fraud rule engine to match patterns against known scam signatures
Autonomous decision: suspend account, block IRSF destinations, or escalate to fraud team
Routes fraud cases back to hub and to billing for credit holds

Step 3 · Tower

Tower Management Agent

Cell Tower Health & Power Management

Monitors tower power supplies, backhaul connectivity, and environmental sensors, autonomously dispatching technicians for outages and switching to backup generators during power failures.

Input

Power status, backhaul alarms, environmental sensors, generator fuel levels

Output

Tower health scores, outage alerts, technician dispatches, generator starts

Calls tower API for AC/DC power status, battery voltage, and temperature alarms
Calls power monitoring system to detect grid outages and trigger generator failover
Autonomous decision: start generator, dispatch tech, or escalate for fuel delivery
Routes tower outage alerts back to hub and to Service Restoration agent

Step 4 · Spectrum

Spectrum Analysis Agent

RF Interference Detection & Mitigation

Scans spectrum for interference, adjacent channel bleed, and unlicensed transmitters, autonomously adjusting power and frequency assignments to maintain signal quality.

Input

Spectrum scans, RSSI data, neighbor cell reports, license boundaries

Output

Interference alerts, frequency adjustments, power tuning commands

Calls spectrum database for licensed frequency ranges and coordination agreements
Calls interference detector to identify rogue transmitters or adjacent channel issues
Autonomous decision: retune frequency, lower power, or escalate to FCC enforcement
Routes spectrum adjustments back to hub and to affected tower controllers

Step 5 · Restoration

Service Restoration Agent

Outage Response & Service Recovery

Detects service outages from alarms and customer reports, autonomously rerouting traffic, dispatching field crews, and notifying customers of restoration progress.

Input

Outage alarms, customer reports, crew availability, ETR estimates

Output

Restoration plans, crew dispatches, customer notifications, service confirmations

Calls ticketing API to create incidents and track restoration progress
Calls dispatch system to assign crews based on proximity and skill
Autonomous decision: reroute traffic to adjacent cells, dispatch crew, or escalate to NOC
Routes restoration confirmations back to hub and to customer notification systems

Results

Measurable impact within 90 days of deployment

55%

Fewer Outages

Major outages reduced from 12 to 5.4 per month. Self-healing resolved 40% of issues before customer impact.

98%

Alert Noise Reduction

Actionable alerts reduced from 2M to 40K daily. NOC engineers focus on real issues, not noise.

< 2min

Detection Time

MTTD reduced from 18 minutes to under 2 minutes. Issues detected before customers notice.

$9.6M

SLA Credit Savings

Reduced outage frequency and faster resolution saved $9.6M in SLA credits and prevented churn.

Implementation

From pilot to production in 12 weeks

Week 1-4

Agent Design & Tool Integration

Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.

Week 5-8

Shadow Mode & Autonomous Tuning

Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.

Week 9-12

Full Autonomous Deployment

Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.

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