Telecom & Communications Use Case Portfolio – NeoroTalks
Telecom and communications providers operate some of the most complex, high-volume, and mission-critical infrastructures in the world. While AI promises automation and intelligence, most telecom operators struggle to operationalise AI safely due to fragmented systems, massive data volumes, real-time constraints, and regulatory obligations.
NeoroTalks enables telecom operators to move from reactive operations to proactive, AI-driven execution-securely and at scale. NeoroTalks acts as an AI Operating Layer across network, customer, operations, and business systems-deployable on-prem, private cloud, or hybrid-without exposing sensitive subscriber or network data.
AI-Driven Network Operations & NOC Copilot
Network Operations Centres (NOCs) manage thousands of alarms, logs, and incidents across RAN, core, OSS, BSS, and cloud infrastructure. Operators face:
Current Industry Challenge
Alert fatigue and false alarms
Slow root-cause analysis
Heavy dependency on senior engineers
Disconnected monitoring tools
What NeoroTalks Solves
NeoroTalks delivers a Network Operations Copilot that assists NOC engineers in real time by:
Analysing alarms, logs, and KPIs across systems
Correlating events to identify root causes
Explaining incidents in plain language
Suggesting resolution steps based on SOPs
Providing audit-ready summaries for incidents
How It Works
NeoroTalks ingests alarms, logs, and metrics from OSS/NMS tools
AI correlates events across network layers
Engineers query issues using natural language
Copilot provides root cause, impact, and next steps
All actions remain human-approved
Business Impact
Faster incident resolution
Reduced downtime
Lower operational dependency on senior staff
Improved NOC efficiency
Deployment Snapshot
Industry: Telecom – Network Operations
Solutions Used: Enterprise Copilot, Private AI Chat, Analytics
Deployment: On-Prem / Private Cloud
Impact: Faster MTTR, improved network stability