Autonomous Precision for Global Voice and Messaging

AI Quality Monitoring System — NGN ICS

The NGN ICS AI Quality Monitoring System is an autonomous intelligence engine built to ensure that every call, every message, and every route across our global network meets enterprise-grade quality benchmarks.

It operates continuously — analyzing millions of live signaling and media transactions in real time — ensuring that performance, integrity, and compliance remain uncompromised.

This system reflects NGN ICS’s commitment to machine precision, predictive monitoring, and zero-tolerance for degradation or fraud.

Purpose

To eliminate quality uncertainty in international voice and messaging by combining analytics, automation, and AI into a single monitoring framework capable of acting — not just observing.

The AI Quality Monitoring System doesn’t wait for failures; it anticipates them.

By detecting anomalies before they affect service, NGN ICS maintains superior ASR, ACD, PDD, and MOS across every active trunk and carrier route.

Core Capabilities

1.

Real-Time Quality Intelligence

Every active trunk and call path is continuously evaluated against hundreds of parameters including signaling behavior, call completion ratios, audio clarity, and latency.

The system calculates a Quality Index (QI) score per route and automatically correlates performance trends across time windows to detect emerging degradation.

Key metrics include:

  • ASR (Answer-Seizure Ratio)
  • ACD (Average Call Duration)
  • PDD (Post-Dial Delay)
  • MOS (Mean Opinion Score)
  • Jitter and packet loss behavior
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2.

Autonomous Ticketing and Escalation

When anomalies are detected, the system independently generates detailed incident reports — including affected destinations, timestamps, SIP cause codes, and performance data.

These reports are automatically distributed to the appropriate engineering or supplier channels without human intervention.

“Generated autonomously by the NGN ICS AI Quality Monitoring System — zero human input, 100% machine precision.”

Each ticket includes actionable insights and is traceable via the NGN ICS Quality Portal for transparency and historical audit.

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3.

Predictive Quality Modeling

Machine learning algorithms identify behavioral patterns in routing, trunk utilization, and signaling performance.

This predictive layer enables NGN ICS to anticipate potential service degradation before it occurs, redirecting traffic through higher-quality routes or adjusting routing weights dynamically.

The result: proactive quality assurance instead of reactive troubleshooting.

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4.

Integrated Fraud Intelligence

Beyond performance monitoring, the system detects irregular signaling and media flow indicative of fraud or synthetic traffic — such as False Answer Supervision (FAS) or call simulation events.

When detected, affected routes are automatically isolated, and routing logic is adjusted in real time to maintain network integrity.

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5.

Continuous Learning and Optimization

The AI Quality Monitoring System continuously refines its models based on historical and live data from thousands of global routes.

Over time, it learns to distinguish between random anomalies and structural carrier issues — evolving with the network and improving precision autonomously.

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Operational Benefits

  • Immediate Detection: Quality degradation and FAS events identified within seconds.
  • Automated Response: Routing and ticketing actions executed with zero human delay.
  • Transparency: Detailed reports accessible to internal teams and partner carriers.
  • Scalability: Designed to handle multi-continent traffic and high-concurrency environments.
  • Integrity: Eliminates subjective assessment — every decision is backed by data.

The Future of Quality Assurance

As communication networks evolve toward full automation, NGN ICS continues to refine its AI-driven monitoring systems — extending coverage to signaling, messaging, IPX, and IMS-based architectures.

Quality is no longer inspected manually; it is governed by AI.

Compliance and Governance

All monitoring and analytical processes operate under NGN ICS’s internal security and compliance policies, which align with:

  • International telecom standards (ITU, GSMA, ETSI)
  • Data-protection frameworks (GDPR, CCPA, and equivalent)
  • NGN ICS’s Anti-Fraud and Acceptable Use Policies

All data is processed securely, anonymized where required, and used exclusively for operational performance and fraud prevention.

Strategic Impact

The NGN ICS AI Quality Monitoring System gives the company — and its partners — a measurable competitive edge.

It reduces operational overhead, shortens incident response times, and guarantees service quality that aligns with Tier-1 global standards.

This is not just monitoring; this is machine governance for network quality.

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