03 / Network Automation / Network Advisor

A network that
evolves with
your knowledge

Network Advisor takes complex, multi-vendor issues from diagnosis to remediation, inside the guardrails your operations team defines. Your knowledge stays in your hands.

Network Advisor platform dashboard
Reduction in Manual Troubleshooting
90%
↑ Faster than manual process
Issues resolved per session
Overview

Multiple levels of automation working together

Network Advisor is an agentic AI system that diagnoses and resolves complex network issues, and gets sharper as your team's expertise grows.

Built on TuplOS, it works across multi-vendor RAN, transport, and core, diagnosing issues end to end without engineer hand-offs between domains.

Network Advisor goes beyond automating troubleshooting. The agentic layer captures your engineers' decisions and turns them into reusable, audited workflows. When a new issue appears, your team encodes the logic once, and the system handles every recurrence after that.

1
Smart Triage
Issues are detected, prioritized, and routed based on severity, impact, and root cause correlation. Your team sees what matters first.
2
Open-Loop Recommendations
AI diagnoses the issue and proposes a resolution. Engineers review and approve before execution.
3
Closed-Loop Automation
Approved workflows execute automatically, with full audit trails and rollback.
4
Knowledge Capture
Every resolution your team approves becomes a reusable workflow. The system gets sharper as your team's expertise grows.
90%
More accurate
root-cause
identification
100%
Consistency across
engineers
and teams
90%
Faster investigation
and triage
2.5x
Higher staff
productivity
How It Works

Key capabilities

Five foundational capabilities that power Network Advisor's intelligent troubleshooting, from real-time visibility to root-cause analysis and automated remediation

01 See

Comprehensive
Real-Time Network Visibility

A holistic “white-box” view of network performance supports proactive operations, long-term optimization, and strategic planning.

Network Uptime
99.97%
Operational
Degraded
Incidents
Real-time
Real-time network uptime monitoring
Continuous visibility into network health. Hover to inspect incidents, toggle time ranges, and track uptime across all layers — 4G, 5G, and transport.
02 Evolve

Agentic AI that evolves
with your network

Engineers define new detections and root-cause logic in natural language. The model continuously adapts, enabling faster, smarter incident handling as the network changes.

Knowledge Capture Pipeline
Sr. Engineer investigates congestion · Zone NW-14
Captured
Logic validated · Added to ML model pipeline
Training
Workflow deployed · 47 similar issues auto-detected
Active
Turn investigations into automated capabilities
When an engineer solves a new problem, that knowledge is operationalized into the model. Future occurrences are automatically detected and triaged, scaling expertise across the entire team.
Rules Deployed
+12
12 new detection rules across 4G, 5G & transport layers
Avg Creation Time
3 min
Down from 2.4 hours with traditional vendor cycles
No-Code Adoption
100%
Every rule created without writing a single line of code
No waiting on vendor releases
React to new network problems as they appear and make them part of the automated system.
03 Triage

Accelerated Incident Triage through
Agentic AI

Engineering intent becomes automated workflows enriched with contextual insights. The chatbot interface boosts triage speed and enables deeper technical analysis.

Active Workflows
Detection: RTWP Imbalance
Status: Live
Detection: 5G SIP Drops
Status: Live
Detection: Transport Issues
Status: Testing
New workflow detected 23 matching incidents in the last 24 hours. Auto-triage enabled.
From detection to deployment in minutes
New workflows are deployed instantly. Emerging network issues are automatically identified and triaged from the moment the logic goes live. No downtime, no manual configuration.
Issues Auto-Triaged
89%
Avg Deploy Time
< 5 min
Vendor Dependency
Zero
Complete independence from vendor cycles
No waiting on vendor releases. Your team controls the troubleshooting logic and deploys changes at the speed of your network.
04 Diagnose

Accurate Root
Cause Analysis

Advanced machine learning correlates multipoint data to isolate true root causes, not just symptoms, improving consistency, and reducing investigation time.

Multi-Signal Correlation
KPI Signal
Alarm Stream
Root Cause
Zone NW-14 transport degradation isolated
Symptom-to-cause in a single pass
ML correlates KPIs, alarms, and traces across layers, then surfaces the underlying root cause — not just the loudest symptom — so engineers act on certainty.
90%
More accurate
root-cause ID
True cause isolated
First pass
Investigation time
−74%
Cross-engineer consistency
100%
Consistent answers across teams
Every engineer reaches the same conclusion from the same data, eliminating tribal-knowledge gaps and accelerating handoffs.
05 Resolve

Targeted
Automated actions

Network Advisor generates precise, data-driven actions and automates execution when appropriate, minimizing service impact and reducing time-to-resolution.

Action Queue
Antenna tilt adjusted · Zone NW-14
Executed
Load rebalance · 5G slice A-12
Running
Transport reroute · Awaiting approval
Pending
Precise actions, inside your guardrails
Trusted resolutions execute automatically; higher-impact actions wait for engineer approval. Every step is audited and reversible — automation that earns trust.
2.5x
Higher staff
productivity
Auto-resolved
73%
Time-to-resolution
−68%
Engineer touches
Minimal
Less manual work, more impact
Engineers stop chasing routine alerts and spend their time on the issues that actually need expert judgment.
Agentic AI Features

Intelligence that grows with your team

Chatbot-driven
extension
Define new detection and root-cause logic via natural language and a library, no coding required.
Domain expertise
in the model
Engineer knowledge is captured and added to the ML models and workflows.
Detect
›
Analyze
›
Deploy
Deploy new
workflows
New logic is deployed so emerging issues are identified and triaged from that point forward.
New logic deployed
Weeks of waiting
Live now ✓
No waiting
on vendor releases
React to new network problems as they appear and make them part of the automated system.
Use Cases

Built for the issues
your network faces

Network Advisor covers a broad range of telecom network troubleshooting scenarios with purpose-built detection and resolution models.

Congestion
Network overloads root cause analysis.
4G RTWP Imbalance
External interference and faulty equipment detection.
4G/5G Sleeping Cell Detection
Hidden faults and misconfigurations in active cells malfunctioning.
4G/5G Traffic and Throughput
Traffic volume decrease and user throughput loss root cause analysis.
4G/5G Access Failure and Drop Call Rates
Degraded performance of users calls and sessions.
Mobility
Handover-related problems impacting on service continuity.
Transport Network Issues
Backhaul-related issues disrupting RAN traffic volume.
5G SIP Drops Increase
Problems with communications sessions initiated by SIP.
Case Studies

Proven results with leading operators

Smart Network Optimization
Case Study 01
Smart Network Optimization for Cost-Efficient Resource Management
A US Tier-1 telecom operator seeking to boost network performance, reduce operational costs, and improve customer experience by focusing engineers on the issues that matter most.
Read more →
In-House Intelligence for Network Optimization
Case Study 02
In-House Intelligence for Network Optimization Cost Reduction
A European Tier-1 telecom operator faced a strategic shift: to transform its Managed Services contract by insourcing key optimization tasks — all while operating under a reduced optimization budget.
Read more →
Driving Network Quality Through RF Action Plans
Case Study 03
Driving Network Quality and Efficiency Through Automated RF Action Plans
A Latin American Tier-1 telecom operator transitioning radio optimization activities back in-house from a major network equipment provider.
Read more →
FAQ

Network Advisor FAQ

Network Advisor is designed to fit within an operator organization's daily workflow on network performance and troubleshooting processes. It connects to key relevant data sources, including configuration, topology, network counters, and KPIs, and correlates them through its AI Engine.

The system automates detection, triage, diagnosis, and action recommendations for network performance issues. With agentic capabilities, engineers can also extend the solution by adding new detection and root-cause logic when new problems appear.

Tupl solutions are delivered in cloud service (e.g. AWS, GCP, Azure, etc.) and can also be deployed on-premises, in your private cloud or data center. Deployment is flexible to match your operational, regulatory, and security requirements.

As long as the relevant data sources are integrated, the system can detect and analyze any root cause that matters to your operations.

With the new agentic capabilities, your engineers can also describe new failure modes in natural language and add them directly to the detection logic, so emerging issues become part of the automated system without waiting for a vendor release.

No coding skills or database modeling are required. This solution relies upon TuplOS, which is a platform designed to synthesize and digitize the complex knowledge base from your engineers and free them to focus on putting their expertise to work. Tupl can guide you through the process via a coaching and training program from our services team.
Tupl solutions are conceived to work in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Network Advisor behaves like an engineer would: connecting to the tools already in your workflows so insights and actions can be pushed seamlessly into your processes.
Get Started

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Trusted by operators across 30+ countries

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