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ServiceNow Launches AI Control Tower and Agent Fabric for Enterprise AI Management

ServiceNow introduces AI Control Tower, a centralized platform for enterprises to monitor, manage, and govern all AI workflows, agents, and models across their ecosystem. Alongside, the new AI Agent Fabric enables seamless communication between AI agents from different providers, supporting interoperability with protocols like MCP and A2A. These innovations provide enterprises with comprehensive lifecycle management, real-time reporting, and compliance tools to optimize AI deployment and risk management.

Published May 6, 2025 at 11:10 PM EDT in Artificial Intelligence (AI)

Enterprises are rapidly adopting AI agents and workflows, creating a complex ecosystem that demands centralized oversight. ServiceNow’s newly launched AI Control Tower addresses this need by providing a holistic command center to monitor, manage, and govern all AI systems within an organization, including third-party agents and models.

This platform offers end-to-end lifecycle management, real-time reporting on key metrics, and embedded compliance and governance features. Users can view AI systems by provider and type, enabling better risk assessment and regulatory adherence. Dorit Zilbershot, ServiceNow’s Group VP of AI Experiences and Innovation, emphasizes the ability to manage all AI deployments from a single interface, enhancing transparency and control.

Alongside the Control Tower, ServiceNow unveiled AI Agent Fabric, a communication system that enables AI agents to interact across different protocols and platforms. Compatible with emerging standards like Anthropic’s Model Context Protocol (MCP), Cisco’s AGNTCY, and Google’s Agent2Agent (A2A), Agent Fabric promotes interoperability and expands the functional capabilities of AI agents by allowing them to share context and data seamlessly.

This interoperability is poised to accelerate AI adoption by breaking down silos between agents from different vendors, fostering innovation and more sophisticated AI-driven workflows. Although industry standards for agent communication are still evolving, ServiceNow’s open platform approach ensures broad protocol support and ongoing collaboration to shape these standards.

Enterprises benefit from these advancements by gaining comprehensive visibility and control over their AI assets, reducing operational risks, and ensuring compliance with governance frameworks. As AI ecosystems grow more complex, tools like ServiceNow’s AI Control Tower and Agent Fabric become essential for effective AI management and strategic deployment.

Key Benefits of ServiceNow’s AI Control Tower

  • Centralized monitoring of all AI agents, models, and workflows
  • End-to-end lifecycle management with real-time metrics
  • Embedded compliance and AI governance capabilities
  • Detailed insights by provider and AI type for risk management

AI Agent Fabric and the Future of AI Agent Interoperability

ServiceNow’s AI Agent Fabric enables AI agents to communicate and collaborate across different platforms and protocols. This interoperability allows agents to share context and data, enhancing their ability to complete complex tasks that span multiple systems. By supporting protocols like MCP, AGNTCY, and A2A, Agent Fabric fosters an open ecosystem where innovation can thrive.

As the industry works toward standardizing agent communication protocols, ServiceNow’s commitment to supporting multiple standards ensures that enterprises can adopt the best technologies without vendor lock-in. This flexibility is critical for scaling AI initiatives and integrating diverse AI capabilities seamlessly.

Early access to AI Agent Fabric is currently available, with general availability expected in the third quarter. This positions enterprises to leverage cutting-edge agent interoperability soon, unlocking new efficiencies and AI-driven innovation.

In summary, ServiceNow’s AI Control Tower and AI Agent Fabric represent significant advancements in enterprise AI management. They provide the tools necessary to govern complex AI ecosystems effectively while enabling agents to work together across platforms. These innovations will help enterprises reduce risk, improve compliance, and accelerate AI adoption.

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