Mavenir, the cloud-native network infrastructure provider, has announced the launch of its Agentic Service Assurance Framework, a TM Forum IG1251/IG1453-aligned multi-agent system designed to automate complex network operations across multiple domains without replacing existing systems. The framework pairs an Intent Orchestrator with a multi-layer agentic ecosystem, enabling AI to detect, diagnose, recommend, and resolve network faults faster, thereby improving operator productivity and accelerating the path to autonomous network operations.
Addressing Network Operations Challenges
Network operations across 5G, cloud-native, and IP domains are expensive, fragmented, and increasingly difficult to manage at scale. Assurance systems often fire alarms but rarely diagnose root causes. Experienced engineers retire, taking decades of institutional knowledge with them. Multi-vendor environments generate siloed data that no single tool can correlate. AI tools that reason only over static data models cannot fill this gap. Mavenir's answer is architectural: a multi-layer, multi-agent framework that learns from how networks are actually operated and automates what skilled engineers do.
Core Components: Intent Ops Engine
At the core of the framework is the Intent Ops engine, a system that observes how NOC teams work, learns the patterns behind successful resolution, and converts proven human workflows into repeatable, explainable automation templates with built-in guardrails. Unlike approaches that reason only over static data models, 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. The result: the network runs on operators’ best knowledge, not a frozen snapshot of it.
Cross-Domain Automation and Integration
The framework helps deliver cross-domain monitoring, context-aware correlation, and domain-intelligence-driven root-cause analysis across domains, with closed-loop remediation on Mavenir products. Integration with existing OSS AI agents is achieved via the Agent-to-Agent (A2A) protocol defined in IG1453, preserving operators’ existing investments while extending automation reach across the full network stack. Retaining full operational control across geographically distributed, cloud-native networks is one of the most pressing challenges operators face today. Mavenir’s framework helps address this directly with AI-driven workflows spanning deployment topology, application health, interface health, and service status, each backed by trusted, auditable remediation actions.
Alignment with Operator Priorities
The framework’s priorities map directly to operator demand. Recent industry research ranks AI-driven trace and log analysis, cross-domain fault correlation, and automated diagnosis of complex interconnect issues as the top operational priorities. These are precisely the capabilities Mavenir’s Agentic Service Assurance Framework delivers.
