Mycom & Mavenir Forge AI Alliance for Autonomous 5G Networks

BARCELONA, SPAIN – March 02, 2026 – Amid the flurry of innovation at Mobile World Congress, Mycom and Mavenir today announced a strategic partnership poised to accelerate the telecommunications industry's journey toward self-driving networks. The collaboration will focus on developing and deploying Agentic AI use cases for 4G and 5G infrastructure, aiming to equip communications service providers (CSPs) with the tools for a new era of automated, intelligent network operations.

The partnership represents a significant step in the quest to achieve the upper echelons of network autonomy, specifically targeting Levels 4 and 5 of the TM Forum's Autonomous Network framework. By integrating their respective technologies, the two companies plan to create a system where network problems are detected, diagnosed, and resolved with minimal, and eventually zero, human intervention.

From Monitoring to Autonomy: The Agentic AI Revolution

The term "AI" has been a staple in telecom for years, but the "Agentic AI" at the core of this partnership signifies a profound operational shift. Traditional AI in network management has largely been analytical, providing insights and predictions that still require human operators to interpret and act upon. Agentic AI, however, moves beyond mere analysis to autonomous action.

In this new paradigm, networks are managed by a team of specialized AI "agents" that can perceive their environment, reason through problems, plan multi-step solutions, and execute tasks to achieve a specific goal. Unlike scripted automation, these agents can interpret high-level human intent—such as "improve video streaming quality in downtown"—and independently orchestrate the complex series of actions required to fulfill it. This collaborative, goal-oriented approach promises to evolve Operational Support Systems (OSS) from passive monitoring dashboards into dynamic, self-governing platforms.

For CSPs, the potential benefits are transformative. The ability to proactively identify and remediate network degradations before they impact customers could dramatically reduce Mean Time to Repair (MTTR) and slash operational expenditures (OPEX). This shift from a reactive "break-fix" model to a proactive, predictive, and ultimately autonomous one is considered essential for managing the ever-increasing complexity of 5G networks and beyond.

A Blueprint for Collaborative Autonomy

The technical foundation of the Mycom-Mavenir collaboration is a direct, Agent-to-Agent (A2A) integration. This links Mycom’s assurance and AI expertise with Mavenir’s deep knowledge of the mobile core network. Specifically, Mycom’s GenAie NOC Copilot will communicate directly with Mavenir’s Core Domain Intent Agent and its specialized network function (NF) AI agents.

This integration leverages Mycom's established suite of service assurance applications—including PrOptima for Performance Management, NetExpert for Fault Management, and ProAssure for Service Quality Management—to provide a comprehensive, end-to-end view of the network. Mavenir's agents, embedded within the core network, provide deep, domain-specific insights and the ability to execute changes directly within their environment.

"Mycom's partnership with Mavenir is about defining how Agentic AI is operationalized at scale," said Mounir Ladki, Co-founder, President and CTO at Mycom. "We are creating a structured blueprint that enables CSPs to activate the full value of their existing workflows and data ecosystems through a multi-agentic AI blueprint and concrete end-to-end use cases. Our objective is to make multi-agent collaboration a deployable reality within live networks, accelerating the industry's transition from assisted automation to truly autonomous operations."

This vision of a collaborative ecosystem is shared by Mavenir, who sees the partnership as a way to unlock the true potential of existing OSS investments.

"Our collaboration with Mycom reflects a shared vision to evolve OSS from a monitoring system into a true autonomy platform," stated Bejoy Pankajakshan, EVP - Chief Technology & Strategy Officer at Mavenir. "Mavenir's domain-native agents, powered by our agentic service assurance framework, bring deep application insight and closed-loop remediation that complement the OSS's end-to-end view, enabling secure agent-to-agent interaction for faster root cause analysis and automated resolution."

Navigating the Path to Full Autonomy

The partnership’s stated goal of helping CSPs reach TM Forum Autonomous Network Levels 4 and 5 is ambitious. This framework provides the industry with a standardized roadmap for the journey from manual operations (Level 0) to fully autonomous networks (Level 5).

Level 4 (Closed-Loop, Limited Domain) represents a critical tipping point. At this stage, the network can self-manage and self-optimize within specific domains, making decisions based on predictive analysis and AI-driven modeling with minimal human oversight. This is the stage where the network transitions from being a tool that humans operate to an intelligent partner that manages itself.

Level 5 (Full Autonomous) is the ultimate goal: a "Zero-X" network (zero touch, zero wait, zero trouble) that is entirely self-configuring, self-healing, and self-optimizing across all domains, with no need for human intervention in its operations. Achieving this requires not just sophisticated AI but also a foundational level of trust in the system's ability to reason, adapt, and act in the best interest of the network's objectives. The technical hurdles are substantial, requiring seamless cross-domain data sharing, robust AI models, and secure interoperability standards that allow agents from different vendors to work in concert.

The Pragmatic Path: Challenges on the Horizon

While the vision of a self-driving network is compelling, the path to widespread adoption is fraught with practical challenges for CSPs. The initial investment required to implement such advanced AI systems is significant, and operators will demand a clear and convincing return on investment (ROI) before committing to large-scale deployments.

Furthermore, most operators are not working with a blank slate. Integrating sophisticated Agentic AI platforms with decades-old legacy systems and siloed data architectures is a monumental task. This integration complexity is compounded by a persistent talent gap within the industry, as the demand for experts in AI, data science, and cybersecurity far outstrips the available supply.

Security also presents a new and complex frontier. As AI agents are granted greater autonomy to make changes to the network, they also create an expanded threat surface. Securing these agentic interactions and protecting the AI models themselves from new attack vectors like data poisoning, evasion, and prompt injection is a critical challenge that the industry must solve to build trust in autonomous systems.

Ultimately, the success of solutions like the one proposed by Mycom and Mavenir will depend not only on their technological prowess but also on their ability to help CSPs navigate these complex business, operational, and cultural transformations. This partnership is a clear signal that the industry recognizes that such a monumental shift cannot be achieved in isolation, but requires deep collaboration between specialists to build the intelligent, resilient, and autonomous networks of the future.