04 / NOC Automation / NOA

Governed automation for known network issues

NOA handles and resolves known incidents automatically and at full volume. Your engineers stop chasing routine work and focus on the issues that need their judgment.

Network Incident Monitor
Live
Transport degradation · Zone NW-14 Triaging
Environmental alarm · Site 7203-CA Detected
Power alarm · Site 4821-TX Resolved
1,247
Resolved today
92%
Auto-resolved L1
4.2m
Avg MTTR
Automated NOC Level 1
92%
↑ Level 1 tickets resolved autonomously
Live NOC performance
Overview

Built for the high-volume work your NOC does every day

NOA takes the routine, high-volume work out of your NOC. Alarms get correlated, tickets get classified, and known incidents get resolved automatically, without manual triage.

By automating diagnosis and resolution for known issues within your approved playbooks, NOA cuts manual workload, shortens response times, and frees your engineers to spend their time on the incidents that need human judgment.

01
Ingest & Correlate
Alarms, tickets, and site data are ingested and correlated using ML models, replacing static rule-based approaches.
02
Diagnose & Classify
Incidents are automatically classified, prioritized, and diagnosed with contextual analysis for faster resolution.
03
Automate & Resolve
Automated corrective actions — remote resets, self-clearing alarms, chronic issue escalation — close the loop without manual touchpoints.
98%
Triage
accuracy
99%
Consistency
level
92%
Automated
NOC level 1
75%
Lower MTTR for
self-clear tickets
How It Works

Key capabilities

01 Handle

Automated Ticket /
Alarm Handling

Automated handling of incident tickets and alarms supports the NOC team end-to-end — from intake to closure — across every category NOA already understands.

Incident Queue
Power alarm · Site 4821-TX
Resolved
Transport degradation · Zone NW-14
Triaging
Environmental alarm · Site 7203-CA
Pending
Intake to closure, end-to-end
Every incident the NOC sees is routed through a consistent automation pipeline. Resolved cases close themselves; the rest reach a human with full context.
02 Correlate

Alarm Correlation
and Triage

Machine learning correlates alarms and site data, replacing static rule-based models. Incidents are automatically classified and prioritized so the team works on what matters first.

Multi-signal Correlation
Alarm stream
Site data
Priority
P1 incident · transport degradation NW-14
Real cause, not the loudest alarm
Correlating alarms with site context lets NOA classify and prioritize incidents the way an experienced engineer would — at the speed the alarm stream actually moves.
03 Resolve

Automated
Actions

NOA executes corrective actions automatically — remote resets, self-clearing alarms, contextual escalations for chronic issues — and streamlines other manual NOC processes along the way.

Action Queue
Remote site reset · Site 4821-TX
Executed
Self-clearing alarm batch · 23 sites
Running
Chronic issue escalation · Awaiting on-call
Pending
Resolve what's safe, escalate what isn't
Routine corrective actions execute automatically with full audit trails. Chronic and ambiguous incidents reach the right engineer with the context to act fast.
Use Cases

Built for the issues
your NOC handles every day

NOA covers a broad range of operational scenarios with purpose-built detection, diagnosis, and resolution workflows

Automatic Resolution of Tickets
NOA automatically resolves ticket categories it already handles, so engineers focus on service-impacting issues.
Power-Related Issues
Detection, diagnosis, and resolution of battery failures, power-supply disruptions, and generator issues.
Transport
Automated handling of transport-related alarms and incidents — rapid identification and resolution across the transport layer.
Environmental Issues
Monitoring and automated response to temperature, humidity, and ventilation anomalies affecting network equipment.
Site Reset Automation
Remote site resets with intelligent pre-checks and validation, reducing dispatches and accelerating service restoration.
Standardized Reporting
Automated generation of consistent operational reports across shifts, reducing the administrative burden on NOC teams.
E-Bonding
Bi-directional integration between NOC systems and external partner platforms — seamless ticket exchange and status sync.
FAQ

NOA FAQ

Tupl NOC Automation assists operations team to tackle workload, improving efficiency and effectiveness, quickly identifying & resolving network alarms and tickets.

Tupl NOC Automation uses all relevant Network data to triage the problem and provides action recommendations to NOC and Field Operations engineers. The solution can also deliver as Automatic actions, such as resets or work orders, and analytics reports.

Tupl solutions are delivered as a cloud service (supported by the main cloud providers e.g. AWS, GCP, Azure, etc.). Our SaaS licensing model significantly reduces the upfront cost of purchasing the system. We can also deploy on-premises, in your private cloud or data center.
Apart from above introduced use cases, one key design principle of our solutions is flexibility, so as long as the proper data sources are integrated, any root cause that is relevant to you can be addressed.
No coding skills or database modelling 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. Just as any engineer would do.
Case Studies

Proven results with leading operators

Accelerating 5G Readiness
Case Study 01
Accelerating 5G Readiness Through Intelligent Network Automation
A US Tier-1 telecom operator seeking to boost operational efficiency, reduce costs, and accelerate 5G deployment by freeing up engineering resources from repetitive, manual tasks.
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 →
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