Mavenir has launched an agentic service assurance framework that captures institutional knowledge from network operations teams and converts it into scalable, autonomous automation across multi-vendor networks. The system, aligned with industry standards TM Forum IG1251 and IG1453, uses multi-agent AI to detect, diagnose, recommend, and resolve network faults faster than traditional assurance tools, while preserving operator control and existing system investments.

Why Is Network Operations Expertise Disappearing?

Telecom network operations face a paradox: as 5G, cloud-native, and IP infrastructure grow more complex, the people who know how to run them are leaving. Experienced engineers retire, taking decades of institutional knowledge with them. Multi-vendor environments generate siloed data that no single monitoring tool can correlate. Traditional assurance systems fire alarms but rarely diagnose root causes. AI tools that reason only over static data models cannot fill that expertise gap, leaving operators scrambling to maintain networks they increasingly struggle to understand.

How Does Mavenir's Framework Capture and Automate Expertise?

At the core of Mavenir's solution is the Intent Ops engine, a system that observes how network operations center (NOC) teams actually work, learns the patterns behind successful problem resolution, and converts proven human workflows into repeatable, explainable automation templates with built-in guardrails. Unlike static approaches, Intent Ops actively captures institutional expertise from live NOC operations and from third-party vendor teams, publishing vetted automations to a continuously growing orchestration catalog. Every workflow is validated against a human baseline before autonomous execution, ensuring the network runs on operators' best knowledge rather than a frozen snapshot of it.

"Every operator I talk to is wrestling with the same paradox: their networks are becoming more complex while the operational expertise to run them is retiring. Intent Ops solves that paradox directly. It captures what your best engineers know, validates it, and makes it available to the entire operations organization, autonomously and at scale. This is how you build a network that genuinely runs itself," stated Bejoy Pankajakshan, EVP Chief Technology and Strategy Officer at Mavenir.

Bejoy Pankajakshan, EVP Chief Technology and Strategy Officer, Mavenir

What Are the Key Capabilities of This Agentic Framework?

• Standards-Native Architecture: Multi-agent architecture and agent-to-agent (A2A) communication built natively to TM Forum IG1251 and IG1453, the industry's definitive specifications for autonomous networks and agent interoperability.
• Intent Orchestration: Operators express desired outcomes as natural-language or voice intent. The platform interprets, plans, executes, and validates end-to-end, continuously refining automation as network conditions evolve.
• Intent Ops Knowledge Capture: Actively learns from live NOC team workflows and third-party vendor operations, converting proven human expertise into a continuously growing, vendor-neutral automation catalog.
• Multi-Vendor, Multi-Domain Coverage: Spans Layer 1 monitoring to Layer 3 remediation across heterogeneous networks without replacing incumbent systems, preserving existing operator investments.
• Closed-Loop Validation: Every automated workflow is validated using pre-validated workflows before autonomous execution, ensuring consistency, accuracy, and a full audit trail.

What Problems Does This Address for Operators?

Recent industry research ranks three operational priorities as most critical: AI-driven trace and log analysis, cross-domain fault correlation, and automated diagnosis of complex interconnect issues. Mavenir's framework delivers precisely these capabilities. It helps operators retain full operational control across geographically distributed, cloud-native networks with AI-driven workflows spanning deployment topology, application health, interface health, and service status, each backed by trusted, auditable remediation actions.

The framework integrates with existing operations support systems (OSS) AI agents via the A2A protocol defined in IG1453, extending automation reach across the full network stack without forcing operators to rip-and-replace their current tools. This preserves years of investment while adding autonomous capabilities on top.

"Operators need practical routes to autonomous networks that work across complex, multi-vendor environments. Intent-based operations and knowledge capture aligned to TM Forum's frameworks can help turn proven NOC expertise into scalable automation. Mavenir's approach shows the direction the industry needs: open, standards-based autonomy operators can trust," noted Andy Tiller, EVP Member Products at TM Forum.

Andy Tiller, EVP Member Products, TM Forum

Why Does This Matter for the Broader AI Agent Ecosystem?

Mavenir's framework represents a shift in how agentic AI is being deployed in enterprise infrastructure. Rather than replacing human expertise, the system codifies it. Rather than operating in isolation, the multi-agent architecture communicates via industry standards, allowing different vendors' agents to coordinate. Rather than making autonomous decisions without oversight, every action is validated against human baselines before execution. This approach addresses one of the most persistent concerns about AI agents in critical infrastructure: how to maintain human control and auditability while gaining the efficiency benefits of automation.

Mavenir serves 300 plus operators globally across more than 120 countries, collectively serving more than 50 percent of the world's mobile subscribers. The company is showcasing this framework at DTW Ignite 2026, scheduled for June 23 to 25, at booth number 334.