AI for Telecom OSS Fault Localization & Ticket…

AI for Telecom OSS Fault Localization & Ticket Deflection

Localize faults faster and deflect tickets by correlating alarms, KPIs, and topology with AI-driven root-cause and automation playbooks.

Network ops centers drown in alarms and tickets. AI correlates multi-domain signals, infers root causes, and triggers fixes or guided runbooks to reduce MTTR and dispatches.

Suggested runbooks with confidence and safety checks

These runbooks incorporate confidence scores and safety checks to minimize risks during implementation.

live demo · related simulation● LIVE

Streaming alarms/KPIs; noise filtering and dedup

Synchronization of topology graphs and inventory data ensures a consistent view across all systems.

Frequently asked questions

What is the primary goal of using AI in telecom OSS fault localization?

The primary goal is to significantly reduce Mean Time To Repair (MTTR) by automating root cause analysis and triggering appropriate remediation actions.

How does the system differentiate between genuine alarms and noise?

The system employs sophisticated noise filtering techniques, combined with anomaly detection algorithms, to identify and suppress irrelevant alarms while prioritizing critical alerts.

Can the AI system suggest specific repair steps or runbooks?

Yes, the AI can generate suggested runbooks based on correlated data, providing engineers with a prioritized list of actions to take – often incorporating automated remediation options.

▶ Try it live

Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Earthquake Wave Propagation Simulation simulation