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17 Sep, 2025

From 2 Years to 12 Weeks for Network Automation

Industry Telecoms

For over two decades, telecom operators have envisioned a future where networks are fully autonomous, self-monitoring, self-healing, and self-optimizing. That future is no longer a distant goal. In a conversation with Google Cloud, Zinkworks, CEO Paul Madden and Google Cloud’s, Brian Kracik, revealed how this vision is becoming reality, reducing deployment timelines from two years to just twelve weeks.

Watch the full video: From 2 Years to 12 Weeks for Network Automation

 

Why Network Automation Matters Now

Telecom networks are growing in complexity, especially with the rollout of 5G, Open RAN, and multi-vendor ecosystems. Manual operations are no longer scalable. Operators need intelligent systems that can:

  • Detect and resolve issues in real time.
  • Reduce operational costs.
  • Improve customer experience.
  • Enable faster service deployment.

Zinkworks is meeting this challenge head-on with a multi-agent AI system that enables zero-touch network operations.

 

The Zinkworks Approach: AI Agents + Google Cloud

Zinkworks has developed a framework of AI agents that autonomously manage network functions. These agents:

  • Continuously monitor network health.
  • Identify anomalies and root causes.
  • Trigger automated remediation workflows.
  • Learn and adapt over time.

By leveraging Google Cloud’s scalable infrastructure and unified data platform, Zinkworks can deploy these agents rapidly and securely across telecom environments.

“The promise of a fully autonomous network is no longer a distant goal, it’s happening now, and Zinkworks is proud to be leading the charge.” — Paul Madden, CEO, Zinkworks

Real-World Impact

  • Deployment Time Reduced: What used to take 2 years can now be done in 12 weeks.
  • Operational Efficiency: AI agents have reduced network tickets by up to 80%, freeing up human resources for strategic tasks.
  • Scalability: The solution is cloud-native, making it easy to scale across regions and vendors.

 

Case Study: Accelerating Automation for Virgin Media O2

Virgin Media O2 (VMO2), in collaboration with Zinkworks and Google Cloud, is leading the charge in transforming network operations through AI, automation, and cloud-native technologies. This partnership is enabling the development of intelligent, self-optimizing networks that deliver faster, more reliable services while reducing operational complexity.

  • Network Issue Resolution Time Improved by 60 Minutes Per Ticket.
  • 40% Reduction in Manual Ticket Handling.
  • Improved SLA compliance across regions.
  • Seamless integration with existing OSS/BSS systems.

This transformation not only improved operational efficiency but also enabled VMO2 to reallocate engineering resources to strategic innovation.

Full Case Study: Zinkworks AI-Powered Network Automation for VMO2 Reduces Manual Tickets by 40%

 

Explore More

Zinkworks is already working with leading operators to bring autonomous networks to life. Learn more about our solutions.

Ready to Accelerate Your Network Automation Journey?
Talk to our experts to get started.

 

Frequently Asked Questions
01 What are AI Agents in telecom?

AI agents are intelligent software components that monitor, diagnose, and resolve network issues autonomously. They use machine learning models to detect anomalies, trigger remediation workflows, and continuously improve through feedback loops.

02 How does Zinkworks reduce deployment time from 2 years to 12 weeks?
03 Is this solution compatible with legacy systems?
04 What kind of results can CSPs expect?
05 How can I get started with Zinkworks?