Vantara Telecom — Vantara Telecom is a tier-1 telecommunications operator serving 22 million subscribers across fixed broadband, mobile and enterprise connectivity segments, managing a network infrastructure of over 80,000 active nodes.
Hours saved annually
Reduction in MTTR
Network uptime achieved
Year-1 cost avoidance
The Chalange
Vantara’s Network Operations Centre (NOC) was receiving over 12,000 network alerts per day across its infrastructure monitoring platforms. Analysts were spending the majority of their shifts manually triaging alerts, cross-referencing fault databases, executing standard remediation runbooks and filing incident reports — the majority of which were repeat fault patterns with known resolutions. Mean time to resolution (MTTR) was averaging 4.2 hours, well above industry benchmarks.
What did
Automate Stacks do
Automate Stacks deployed an AIOps automation stack integrating network telemetry, RPA-driven remediation bots, and an Agentic AI engine capable of autonomous fault management:
Alert Correlation Engine: An AI model was trained on 18 months of historical alert data to identify fault patterns, suppress noise and correlate related alerts into single actionable incidents reducing alert volume by 74%.
RPA Remediation Bots: 24 automated runbooks were built to execute first-line remediation tasks autonomously restarting services, rerouting traffic, applying config patches across Vantara’s multi-vendor network environment.
Agentic AI Supervisor: An orchestrating AI agent continuously monitored open incidents, decided which remediation path to execute, verified resolution, closed tickets and escalated unresolved complex faults to senior engineers with full diagnostic context.
The Results
- MTTR reduced from 4.2 hours to 1.4 hours — a 68% improvement
- 25,000+ NOC analyst hours recovered annually and redeployed to proactive network optimisation
- Network uptime improved to 99.97% sustained over 12 consecutive months post-deployment
- Alert noise reduced by 74%, enabling analysts to focus on genuine high-impact incidents
- £1.4M in year-one cost avoidance from reduced outage penalties and overtime
