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AI for Service Assurance

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Stop Managing Incidents.
Start Mastering the Network.

Telecom networks are evolving fast—but operations? Not fast enough. With mounting complexity, customer expectations, and incident volumes, traditional approaches can't keep up.

AI for Service Assurance changes that.

Anritsu’s AI for Service Assurance solutions delivers next-gen intelligence, purpose-built to automate service assurance at scale. Empower your teams to stop reacting - and start predicting, preventing, and optimising with confidence.

AI for Service Assurance Overview

Stop Managing incidents

From Chaos to Clarity

AI for Service Assurance

Solutions

The Anritsu Advantage

Innovation in Action

 

From Chaos to Clarity

Traditional tools and workflows are no longer equipped to handle the scale, speed, or diversity of today’s service assurance challenges. To stay competitive, operators must embrace intelligent automation—not only to reduce costs but to deliver superior customer experiences at scale.

Operators are facing:

Exploding Incident Volume: Thousands of daily alerts overwhelm NOCs, with limited context or prioritisation.

Manual RCA Bottlenecks: Root cause analysis remains slow, labor-intensive, and reliant on tribal knowledge.

Fragmented Data Views: CRM, network, and ticketing data exist in silos, making cross-domain insight difficult.

 

Reactive Customer Experience Management: Issues are addressed only after they impact users and KPIs.

Increasing Network Complexity: Multi-vendor, multi-technology environments hinder visibility and coherence.

To remain agile and experience-driven, operators must focus on three critical priorities:

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Efficient Network Operations
Automate diagnostics and RCA to reduce time-to-resolution and improve engineering productivity.

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Proactive Customer Care
Use predictive analytics to identify and resolve potential experience degradations before they affect users.

Automated RCA

Correlation Across Domains
Integrate and correlate data across probes, CRM, NOC tools, and ITSM systems for unified decision-making.

AI for Service Assurance

Intelligent Automation. From End-to-End

AI for Service Assurance is designed from the ground up for telecom-scale automation. It brings precision and intelligence to every layer of service assurance with: 

Automated Incident Correlation
Identify and group related incidents across network, subscriber, CRM, and topology layers. Reduce RCA effort by 9x with AI-powered correlation.


Root Cause Analysis at Machine Speed
Uncover probable causes and get AI-ranked Next Best Actions based on confidence and impact - automated, auditable, and fast.

Predictive Customer Experience Management (CEM)
Forecast churn, segment subscribers in real-time, and link behavioral patterns with service quality using sentiment, usage, and care data.


Knowledge Graph Intelligence
Go beyond KPIs. Use graph-based AI to model how anomalies propagate across protocols, layers, and time - fueling high-fidelity RCA and precision NBA.

Incident Correlation & Root Cause Analysis

Cut through the noise. Group related incidents, score root causes, and act on trusted next-best actions based on return-on-effort and success likelihood. Integrated with ITSM platforms, it enriches tickets with context that drives faster fixes.

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Automated Diagnostics


Diagnose issues in real time using AI across trace files, probe data, and logs - even third-party inputs. It auto-identifies probable faults, impacted subscribers, and resolution paths.


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Predictive Customer Experience Management

Predict churn before it happens. Predictive CEM blends network KPIs with behavioral and sentiment data to deliver dynamic segmentation, customer satisfaction scoring, and proactive retention triggers.

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The Anritsu Advantage

AI + Automation + Analytics. Delivered as One.

Anritsu’s AI for Service Assurance solutions bring intelligence and automation where it's needed most. Powered by our industry-leading insights, you benefit from:

Real-Time Anomaly Detection
ML-driven detection and correlation, enabling 9x faster RCA than traditional tools​.

Cross-Domain Correlation
Single-click insights across domains—no more toggling between systems.

 

Zero-Touch Operations
From self-learning algorithms to automated RCA and GenAI-driven troubleshooting, we reduce ops effort while elevating experience.

Proven at Scale
Tier-1 operators across Europe, the Middle East, and Asia already trust Anritsu for their automation, assurance, and customer experience analytics.

Increased Optimisation

Leverage AI/ML-powered anomaly detection to optimise your network. Identify and resolve service issues 10x faster. Detect degradation, misconfigured devices, and regional disruptions before they impact users.

Reduced OpEx

Significantly reduce OpEx by automating diagnostics, accelerating root cause analysis, and minimising manual intervention across NOC operations.

 

Improved Satisfaction

Deliver consistently superior customer experiences with Anritsu’s AI for Assurance Solutions—real-time insights into every subscriber touchpoint drive faster resolutions, proactive care, and higher customer satisfaction.

Lower  Churn

Predict customer experience issues before they impact users and enable proactive resolution through automated insights. Ensure higher service quality, improved satisfaction, and greater loyalty across the subscriber base.

Innovation in Action

From Complexity to Clarity

Unlock the full potential of your network operations with Anritsu.

 

Cross-domain incident visibility: Unify fragmented insights across network, subscriber, CRM, and topology layers.

Proactive care capabilities: Predict and prevent service degradation before it hits the customer.
Real-time RCA and anomaly detection: Detect, correlate, and prioritise faults with machine-speed intelligence.
Subscriber-centric analytics: Link network events to real-world experience for smarter triage and faster resolution.



 End to end customer experience monitoring
Monitor in real time the customer experience for thousands of common services, plus custom services, pinpointing the customer experience quality

 End to end customer experience troubleshooting
Improve the customer experience and accelerate te overall MTTR, with the automated notification of customer experience or customer impacting events, and the related fully automated Root Cause Analysis.

 



 Churn prediction
Combining usage patterns and performance issues to flag at-risk subscribers and trigger proactive engagement

 

 Optimised network investments
With the deep understanding of the actual usage of the network from the customers CSPs will be able to optimise the investments directing them where it matters most for the customer experience quality

 

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