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.
Predictive Network Fault & Outage Prevention
Most outages are detected after service degradation occurs. Reactive fault handling leads to SLA penalties and customer dissatisfaction.
Current Industry Challenge
What NeoroTalks Solves
NeoroTalks enables predictive fault intelligence by analysing historical incidents, performance trends, and environmental data to forecast failures before they occur.
Capabilities include:
Pattern recognition across network KPIs
Early warning alerts for degradation
AI-generated risk summaries
Operator-controlled intervention
How It Works
Network telemetry is continuously analysed
AI identifies early degradation patterns
Risk alerts are generated proactively
Engineers validate and act before outage
Business Impact
Reduced unplanned outages
Higher SLA compliance
Lower customer churn
Proactive network management
Deployment Snapshot
Industry: Telecom – Network Reliability
Solutions Used: Agentic AI Workforce, Analytics
Deployment: On-Prem / Hybrid
Impact: Fewer outages, proactive operations