Mavenir Automates Autonomous Networks Using NOC Knowledge

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Mavenir has unveiled an AI-driven framework to automate network operations, addressing challenges in 5G, cloud-native, and IP environments through standards-compliant, multi-agent orchestration.

Challenges in Network Operations

Network operations in 5G, cloud-native, and IP environments face significant challenges due to high costs, fragmented systems, and scalability issues. Traditional assurance systems often trigger alerts without addressing underlying causes. The retirement of experienced engineers exacerbates the loss of critical institutional knowledge. Additionally, multi-vendor ecosystems generate siloed data, making it difficult for single tools to correlate information effectively. Static data models used by some AI tools fail to bridge this gap, prompting the need for a more dynamic approach.

Framework Overview

Mavenir’s Agentic Service Assurance Framework addresses these issues through a multi-layer, multi-agent architecture that learns from actual network operations and automates tasks typically performed by skilled engineers. At its core is the Intent Ops engine, which observes how network operations centers (NOCs) function, identifies patterns in successful resolutions, and converts these workflows into repeatable automation templates. This system incorporates safeguards to ensure reliability and transparency.

Intent Ops Engine

Unlike static data models, Intent Ops captures expertise from live NOC activities and third-party vendor interactions, creating a growing catalog of validated automations. Each workflow undergoes validation against human benchmarks before autonomous execution, ensuring that network operations reflect the accumulated knowledge of experienced personnel rather than outdated snapshots.

Key Features

Standards-compliant architecture: Built natively to TM Forum IG1251 and IG1453 specifications, ensuring interoperability and adherence to industry benchmarks.
Intent orchestration: Operators define desired outcomes through natural language or voice commands, with the platform planning, executing, and validating end-to-end workflows.
Knowledge capture: Continuously learns from NOC and vendor operations, converting human expertise into a vendor-neutral automation catalog.
Multi-vendor support: Operates across heterogeneous networks without displacing existing systems, spanning from layer 1 monitoring to layer 3 remediation.
Closed-loop validation: Ensures automated workflows are tested against pre-validated processes before execution, maintaining accuracy and auditability.

Industry Endorsements

Bejoy Pankajakshan, EVP and Chief Technology Strategy Officer at Mavenir, stated: “The solution tackles the paradox of increasing network complexity alongside the loss of operational expertise. Intent Ops transforms the knowledge of top engineers into scalable, autonomous processes.”

Andy Tiller, EVP of Member Products at TM Forum, noted: “The framework provides a practical path to autonomous networks in multi-vendor environments. It underscores the importance of intent-based operations and standards-aligned automation in enabling trusted, open network autonomy.”

Conclusion

The Agentic Service Assurance Framework represents a significant step toward reducing operational burdens while maintaining control over complex, distributed networks. Its emphasis on learning from real-world workflows and integrating with existing systems positions it as a critical tool for operators seeking to enhance efficiency and reliability.