Telecommunication
Equipping Telvanta to Investigate Network Incidents 55% Faster with AI-Driven Operations
How we partnered with Telvanta Communications to move from reactive incident response to proactive, AI-powered network intelligence.
- Client
- Telvanta Communications
- Industry
- Telecommunication
- Practice Area
- AI & Data Engineering
- Services
- AI Operations & Governance, Data Engineering, Cloud Engineering
- Engagement
- Network Operations Modernization
- Timeline
- 10 months
Overview
Telvanta Communications is a regional telecommunications provider delivering broadband, enterprise connectivity, and digital communication services to millions of customers across multiple markets. As its network grew more complex, teams were stuck responding to incidents after service had already degraded. Fulcronix built a unified network intelligence platform with predictive monitoring and an AI-powered operations assistant, shifting Telvanta from reactive troubleshooting to proactive network management. Incident investigation time is down 55%, recurring incidents are down 35%, and the network now runs at 99.95% reliability.
Results
55%
Faster incident investigation
40%
Improved operational efficiency
35%
Fewer recurring service incidents
99.95%
Network service reliability
10 Months
Full transformation timeline
NETWORK INTELLIGENCE LEAP
Reactive Incident Response vs. Proactive Network Intelligence
Telvanta's network operations teams were finding out about problems the same way most growing networks do: after customers already felt them. Engineers relied on manual monitoring, alerts scattered across disconnected systems, and historical analysis to trace a problem back to its root cause. As the network expanded, that approach stopped scaling.
This showed up as five recurring challenges:
High volumes of operational alerts
Limited visibility across network environments
Longer incident resolution cycles
Manual troubleshooting processes
Difficulty predicting potential service disruptions
Telvanta didn't just want a faster incident response. It wanted a proactive operations model that could catch issues before they reached customers at all.
Fulcronix partnered with Telvanta's network and technology teams on a 10-month Network Operations Modernization engagement, combining data engineering, AI-driven operations, and cloud modernization into a single roadmap for reliability.
Project Highlights
Creating a Unified Network Intelligence Platform
Telvanta's operational data was scattered across multiple monitoring systems, making it hard for teams to see the full picture of network health. Fulcronix built a centralized data foundation that collected and structured performance information from every source, giving teams one place to spot patterns and make faster decisions.
Introducing Predictive Operations Capabilities
Fulcronix implemented intelligent monitoring that analyzes network behavior, historical events, and performance patterns to flag potential issues before they become major incidents. This is what moved Telvanta from reactive troubleshooting toward genuinely proactive network management.
Modernizing Operational Reliability
Fulcronix strengthened Telvanta's operational environment with improved monitoring, automation, and cloud-based capabilities, giving teams a way to manage rising infrastructure complexity without service quality slipping.
Solution Spotlight: AI-Powered Network Operations Assistant
At the center of the transformation is an intelligent operations assistant that helps engineering teams understand network events faster. It analyzes operational data, summarizes incidents, and surfaces contextual insights during troubleshooting, cutting manual investigation time so engineers can resolve issues faster and spend more time improving network performance instead of chasing it.
Technology Used
- Apache Kafka
- Elastic Stack (ELK)
- Prometheus & Grafana
- AWS SageMaker
- Kubernetes
- PagerDuty
- Cloud-Native Infrastructure (AWS)
