Toward Self-Operating Networks: Transforming Network Management with Agentic AI

Despite automation permeating most areas of enterprise IT, it has largely remained confined to automation lakes in network management. Estimates suggest most enterprises have automated less than 50% of their Day 0 and Day 1 network activities. Since networks and connected technologies are complex, heavily customized, siloed, and distributed, traditional process automation cannot handle the crucial judgment-related hand-offs to ensure reliable and scalable networks. Moreover, to support a hybrid work culture, enterprises pivoted to network technologies such as SD-WAN and WAN but continued to source them independently of network security and cloud security, creating further challenges in automating network connectivity securely.

With the advent of Generative AI (GenAI) into workloads and the dependence on the cloud, there is a need for agile and seamless connectivity that supports high compute needs. Network teams have been using GenAI to model process flows and mitigation strategies for network issues. However, when it comes to execution, these still fall back into manual processes.

To effectively meet changing business needs, enterprises need to move to fully automated network management that addresses connectivity, security, compliance requirements, while helping network teams to focus on more strategic initiatives working closely with business teams to identify and model optimal network infrastructure.

Enter Agentic AI to Drive NetDevOps

While GenAI is the strategic brain, AI agents can be the hands and limbs that execute with minimal human intervention. These software-led intelligent process AI can glean historical data and existing knowledge bases to reason and independently take context-based action such as configuration and incident detection and resolution, are aware of their surrounding ecosystems, and are constantly learning to create more efficient and self-healing network operations. These agents will enable continuous integration and deployment of network activities in sync with fluctuating needs – enabling highly automated, low-touch network operations.

However, before enterprises can embed AI agents into their network operations, they need to address the following gaps:

• Lack of interoperability in network architectures and related databases by incorporating API-friendly systems and technologies that communicate with each other
• Consolidate monitoring tool landscape with intelligent, proactive threat monitoring that contains, prioritizes, and remediates an incident before it leads to long-term impact. A typical enterprise has more than 50 tools to monitor its IT landscape, which leads to noise, keeps teams occupied with low-severity incidents, and impacts team bandwidth and productivity.

  Exhibit 2 – Amid a Proliferation of Tools, Many Want to Consolidate

  

• Set guardrails for AI governance and build responsible AI practices that provide visibility into how AI interacts and acts on enterprise data, applications, and user behavior.

Tackling these challenges requires enterprises to audit their network systems, negotiate with existing vendors, and significantly upskill their workforce and network teams to able to work alongside AI agents.

Cut the learning curve with Persistent NetSyncX

Persistent clubs its network management expertise with its agent development and design knowledge to create a solution that helps enterprises plug existing gaps in automation and Agentic AI orchestration of network operations.

Introducing NetSynX—short for Network Synchronization—built to meet Level 4 autonomous network standards, that utilizes Agentic AI to create a responsive, intelligent operations ecosystem. The “X” signifies its versatility across diverse infrastructure layers, including optical networks.

This modular system integrates several specialized agents working in harmony:

• Monitoring Agent: Captures real-time alerts from Prometheus, filtering significant events.
• Jira Agent: Manages ticket creation, updates, and incident tracking.
• Knowledge Base Agent: Retrieves relevant resolutions from historical Jira tickets, documentation, and troubleshooting guides.
• ONAP Agent: Initiates recovery actions, such as router reboots, through APIs.

NetSynX is built using AWS as the infrastructure layer, Langflow for agent development, and CromaDB for data storage.

This tool is an Agentic AI solution and is hosted on Persistent’s GenAI platform – GenAI Hub, providing scalable and intelligent automation capabilities for enterprise-grade network environments.

Implementing NetSynX delivers significant operational advantages:

• Accelerated Incident Resolution: Automated detection, ticketing, and healing significantly reduce Mean Time to Resolution.
• Operational Efficiency: Organizations have reported up to a 30% increase in SRE team productivity by automating repetitive tasks and accelerating troubleshooting.
• Enhanced Knowledge Management: A self-learning system ensures that historical resolutions continuously refine future incident handling.
• Reduced Costs: Automation enables up to a 30% reduction in support team size, lowering operational costs while maintaining high service levels.
• Improved Resilience: Proactive, intelligent remediation strengthens network uptime, service reliability, and customer satisfaction.

Transforming Incident Management with End-to-End Automated Orchestration

NetSyncX deploys Prometheus to detect a network anomaly, such as a down router port, the Jira Agent raises and correlates a new incident ticket. The Planner Agent then suggests solutions based on the knowledge base, presenting options like router reboots to the SRE team. The SREs review and approve the AI-suggested resolutions. Once approved, the ONAP Agent triggers recovery actions via API. Finally, incident outcomes and root cause analysis (RCA) are logged for continuous learning.

Aligning with the Future of Autonomous Networks

As enterprises transition towards self-operating systems, solutions like NetSynX become essential enablers. By embedding Agentic AI across network operations, Persistent Systems empowers organizations to:

• Manage greater scale with fewer manual interventions
• Enhance operational predictability and resilience
• Optimize human capital for more strategic initiatives

NetSynX is not just a platform — it’s a strategic leap toward building intelligent, future-ready networks that dynamically adapt to the evolving digital landscape. To know how you can embed this into your network operations, contact us here.