AI-Driven Network Automation and Remediation

AI-Driven Network Automation and Remediation

Boost Customer Satisfaction and Efficiency by Addressing Issues Early.

Perform network remediation upon fault or performance degradation to either restore the service or address the service impairment.

Pain Points

Networks are vulnerable to soft failures resulting in degraded service
Takes a long time and effort to restore service
Simple recurring issues require repeated manual effort

Benefits

Addresses the Issue prior to Customer Impact
Reduces Customer Complaints
Reduces Workload Operations Teams

Data Sources

Network incidence data from Fault System
Critical KPIs (Errors, etc.) Performance System(s)
Trouble-Ticketing System
NMS / EMS / Direct Device

Workflow

Detect Service anomalies using rules-based logic or machine learning techniques
Invoke remediation workflow
Operations Team approve action
Receive notification of successful action

Stakeholders

Network Operations Team
Customer Care Team

Other use cases

Automated Incremental Capacity Management

Enhance Network Performance: Less Congestion, Better Service.

Smart Network Investment: Capital Expenditures Planning

Improve Your Network Efficiency: Maximize ROI & Reduce Costs.

AIOps Correlation of Customer Metrics and Degradation

Localize and Resolve Issues Proactively for Better Performance.