Quick answer: Zayo has launched Agentic Networking, the first production capability from a network service provider that lets approved AI agents take authorized action on live WAN services, not just query them. Built on DynamicLink, Zayo’s Network-as-a-Service platform, it combines Zayo’s physical network, a purpose-built networking skill, and a Model Context Protocol server so enterprises can extend network operations into the AI agents they’re already building.
AI adoption is outpacing the network architectures built to support it. theCube Research found that 93% of organizations now view the network as more critical to business goals than it was two years ago. Most enterprise networks were not designed with AI agents in mind. They were built to connect people to applications, not to give autonomous systems a governed way to act.
That gap creates a real problem. Enterprises are building AI agents and workflows into daily operations now, not next year. When those agents hit a network that can only be queried, not instructed, the work stalls, or someone finds a manual workaround. Zayo built Agentic Networking to close that gap.
What Agentic Networking Is and Why It Matters Now
Other providers have introduced agents that can answer questions about network statistics. Zayo has gone further, launching the industry’s first production agentic interface that lets enterprise AI agents directly operate a carrier network through MCP, an emerging standard that gives AI agents a common language for understanding and interacting with a platform’s capabilities. That distinction matters. An agent that describes what a system does is useful. An agent that can act within enterprise-defined controls is a different category of tool.
Zayo built this distinction into DynamicLink from the start. Agentic Networking extends DynamicLink from self-service control into a governed model where approved agents, including agents enterprises build and operate themselves, can understand network context and execute authorized actions.
That last point is worth stating plainly: enterprises are not limited to a Zayo-built agent. A customer with its own AI agent can connect it to the network and put it to work, within the boundaries the enterprise sets. Organizations define what information, tools, and actions are available. Automation and governance stay in place throughout.
From Passive Answers to Active Solutions
Earlier generations of network AI agents were largely read-only, trained on static documentation and limited to answering questions. That model works for a support chatbot. It does not work for a network engineer who needs an agent to provision a connection, audit a firewall rule, or troubleshoot a performance issue.
An agent connected through Zayo’s Agentic Networking capability takes authorized action on the network platform: provisioning a connection, pulling a security audit, or running diagnostics, rather than describing how to do those things. Instead of simply asking AI questions about the network, enterprises can put AI to work on it.
For Network-as-a-Service, this moves the model forward. Self-service network control lets teams operate the network directly. Agent-enabled networking goes further, letting teams define objectives and guardrails while AI agents handle execution. Zayo makes that possible today.
Built on Zayo’s Physical Network, Not Just Software
Agentic Networking sits on top of Zayo’s expanding North American infrastructure, connecting enterprise locations, data centers, clouds, and AI environments. This is not a capability a software company could deliver on its own. Zayo is building thousands of miles of fiber for the Intelligence Era is now making that physical network programmable by the agents operating within it.
For enterprises, this means a network that doesn’t just support AI workloads but actively fits the way AI-driven operations work. Physical reach, software-defined control, and agent-accessible interfaces come together so that the network responds to the business, not the other way around.
Why Zayo Built What the Industry Hasn’t
Competitors have introduced agents that can query network statistics and answer questions. None currently offer the same governed, action-taking capability. Zayo’s approach is the first production MCP interface from a network service provider that allows enterprise AI agents to take authorized actions on live WAN services, and it builds directly on DynamicLink’s foundation as a platform built for real-time, software-enabled control. Agentic Networking extends that control into the AI agents enterprises are already building rather than asking them to adopt a new system to get there.
AI Is Today’s Challenge, Not Tomorrow’s
Enterprises are not waiting to bring AI agents into their workflows. They are building them now, across customer service, DevOps, data analysis, and IT operations. The question is not whether AI will reshape how enterprises operate their networks. It is whether the network can keep pace.
That gap is structural. Traditional networks operate on provisioning cycles measured in weeks or months. AI adoption, cloud testing, and data migration move week by week, sometimes day by day. When an AI-driven workflow needs a new cloud connection or a configuration change, a multi-week ticket queue defeats the purpose of building the workflow in the first place.
This is the same pattern that has defined every major networking transition. MPLS solved the routing complexity of the early internet era. SD-WAN addressed the rigidity that came with the rise of cloud. Each shift exposed a mismatch between what the network could do and what the business needed. The AI era is no different, except the pace of change is faster and the cost of falling behind is higher.
Without a governed way for AI agents to interact with the network, enterprises face two options, and neither is good: slow down to match the network’s pace, or build ungoverned workarounds that introduce risk. Zayo built Agentic Networking ahead of that demand, not as a response to it.
What Agentic Networking Unlocks for Enterprise Network Agility
Network agility is not only about uptime. It is the ability to make continuous, low-risk changes at the pace the business needs. With Agentic Networking, Zayo has released the first agentic networking experience built for that purpose, extending agility into everyday network operations. Workflows include:
- Establishing cloud-to-cloud connectivity without engineers manually moving between systems
- Investigating network performance by correlating context across network, cloud, and application environments
- Coordinating multi-cloud connectivity as workloads shift between providers
- Responding to unusual network activity with surfaced context and recommended actions for an engineer to review
- Executing approved network changes within controls the enterprise has already defined
None of this removes human oversight. Organizations define what information, tools, and actions are available to their agents, whether those agents run on Zayo’s platform or the enterprise’s own AI systems. Automation through Agentic Networking does not mean losing control of the network. It means giving network teams a way to move at the pace AI workflows demand while keeping approval and governance intact. That is the strategic payoff: collapsing order cycles that once took weeks down to minutes, with the enterprise still setting the rules.
Where Agentic Networking Fits in the Tech Stack
Zoom out, and this fits a pattern enterprises are already living through. Fragmented, multi-vendor architectures are consolidating into centralized, policy-driven control planes. At the same time, enterprises want their AI agents, regardless of which platform those agents run on, to act across systems rather than being boxed into a single vendor portal.
Agentic Networking extends networking into that broader shift. The network becomes another system an organization’s AI stack can reason about and act on, not a separate silo that requires a dedicated portal and login. For an enterprise IT team managing a lean staff across many locations, that consolidation matters as much as any individual feature: one governed interface for AI agents to work through, instead of a growing list of disconnected tools.
That is a structural change in how network capabilities get consumed, not a feature bolted onto an existing product.
What This Means for What’s Next
Agentic Networking shifts agents from answering questions to taking authorized action on the network, with network teams in control throughout. Zayo built the interface, the platform, and the physical network underneath it so enterprises could extend that control into AI workflows already running across the business, without sacrificing oversight or accuracy.
Enterprises building AI workflows today have a real question to answer: can your network participate in those workflows directly, or does it remain a separate system someone has to manage by hand?
Frequently Asked Questions
What is Agentic Networking?
Agentic Networking is Zayo’s capability that lets approved AI agents, including agents an enterprise builds and operates itself, take authorized action on the network through DynamicLink, such as provisioning a connection or auditing a firewall rule, instead of only answering questions about network status.
How does Agentic Networking work?
Agentic Networking combines Zayo’s network infrastructure, the DynamicLink platform, a networking-specific AI skill, and an MCP server. Enterprises define the objectives, tools, and guardrails available to their AI agents, and the agents execute and coordinate tasks within those defined controls, with human approval remaining part of the process.
Is Agentic Networking available now?
Yes. Zayo’s Agentic Networking capability for DynamicLink is in production, not a pilot or future release. It is the first production agentic interface from a network service provider that lets enterprise AI agents take authorized action on live WAN services.
Does Agentic Networking remove human oversight from network changes?
No. Organizations retain control over what information, tools, and actions are available to their AI agents. Agentic Networking gives agents a governed way to act, not unrestricted access to make changes without approval.
Can enterprises connect their own AI agents, or only Zayo’s?
Enterprises can connect their own AI agents to the network through Zayo’s MCP interface, within the controls they define. Agentic Networking is not limited to a single Zayo-built agent.
How is this different from existing AI network agents?
Earlier AI agents in networking were largely read-only, trained on static documentation and limited to answering questions. Competing agents today can query network statistics. Zayo’s Agentic Networking capability can take authorized action, including provisioning, auditing, and troubleshooting, within enterprise-defined controls.
