Communication Service Providers (CSPs) face significant challenges in their Network Operations Centers (NOCs), which are often characterized by manual and time-intensive processes. NOC technicians frequently perform "swivel chair" operations, switching between multiple complex systems to gather and analyze data for troubleshooting network incidents. This data is often fragmented across different platforms and comes in inconsistent formats, making it difficult to get a cohesive view and correlate information effectively.

This reliance on manual data consolidation and analysis not only leads to a high Mean-Time-to-Repair (MTTR) and extended network impact but also increases the likelihood of human error. The core pain points for NOC engineers include:

• Time Consumption: Constantly switching between disparate systems is inefficient and delays problem resolution.

• Data Fragmentation: Information scattered across platforms prevents a comprehensive understanding of network issues.

• Complex Interfaces: Each system has a unique interface, requiring engineers to spend time learning and adapting, which reduces efficiency.

• Human Error: Manually aggregating data increases the risk of mistakes, leading to incorrect diagnoses and troubleshooting.

The IBM Telco Network Agent is designed to address these challenges directly by providing an AI-powered assistant that streamlines network troubleshooting, automates analysis, and empowers engineers with a unified, intelligent interface

The primary goal of the solution is to provide NOC technicians with contextual recommendations for network incidents by analyzing a wide range of data, including similar historical incidents, root cause analysis (RCA) documents, vendor defects, and knowledge base articles. By consolidating data into a single interface and automating analysis, the agent eliminates swivel chair operations, reduces human error, and provides a strategic foundation for future prescriptive and automated network resolutions.