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Closed-Loop Network Remediation Automation

AI-driven telecom network operations workflow that automates configuration changes, fault resolution, and intent-based remediation across OSS and multi-domain environments, including Day-2 onboarding and closed-loop service assurance for business services.

The Problem

“Closed-Loop Network Configuration and Remediation Automation for Telecom OSS and Multi-Domain Networks”

Organizations face these key challenges:

1

Fragmented fault management across OSS and domain silos

2

Manual and inconsistent remediation workflows

3

Slow root-cause analysis across alarms, logs, and topology

4

High risk of human error during configuration changes

5

Limited closed-loop assurance for end-to-end business services

6

Day-2 onboarding tasks for OSM charms and primitives are labor-intensive

7

Intent translation into domain-specific actions is difficult

8

Multi-vendor APIs, data models, and operational policies are inconsistent

Impact When Solved

Reduce MTTR for recurring incidents through automated diagnosis and remediationLower NOC and operations workload by converting runbooks into executable closed loopsImprove SLA attainment for enterprise connectivity, slices, and business servicesStandardize Day-2 onboarding for OSM-managed LTE and edge functionsDecrease change failure rate with policy checks, simulation, and rollbackIncrease cross-domain visibility across OSS, RAN, transport, core, and cloud

The Shift

Before AI~85% Manual

Human Does

  • •Review every case manually
  • •Handle requests one by one
  • •Make decisions on each item
  • •Document and track progress

Automation

  • •Basic routing only
With AI~75% Automated

Human Does

  • •Review edge cases
  • •Final approvals
  • •Strategic oversight

AI Handles

  • •Automate routine processing
  • •Classify and route instantly
  • •Analyze at scale
  • •Operate 24/7

Real-World Use Cases

Autonomous fault resolution closed loop in OSS

The system detects a network fault, diagnoses it, triggers handling steps and checks recovery automatically in a closed loop.

Closed-loop reasoning and policy-driven automationarchitecture-level deployed capability within inspur's an-oriented oss stack; article describes productized components rather than a single quantified rollout.
10.0

Day-2 automation for srsLTE eNodeB/UE onboarding in OSM

OSM is set up to automatically configure and operate a virtual LTE base-station/UE component using a Juju charm, so operators do not have to do all setup steps by hand.

Workflow automationproposed/configured in packaging diff; evidence shows implementation changes rather than production outcomes.
10.0

Intent-driven closed-loop autonomous network operations for business services

A telecom network can be told the business outcome it should achieve, and software automatically configures, monitors, and fixes the network to keep that outcome on track.

Goal-driven optimization and automated control loopproposed/pilot catalyst initiative rather than a broadly proven production deployment.
10.0

AI Closed-Loop Network Management

Use AI to watch the network, decide what is wrong or needs improvement, and automatically make changes without waiting for a human each time.

Monitor-analyze-decide-act closed-loop automationproposed reference architecture and process-flow guidance rather than a confirmed deployed product in the source.
10.0

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