ServiceNow Debuts AI Control Tower for Enterprises
ServiceNow (NYSE: NOW), the AI platform for business transformation, has announced the launch of its new AI Control Tower. The centralized solution is designed to govern, manage, secure, and derive value from ServiceNow and third-party AI agents, models, and workflows, all from a single unified platform. The company stated that AI Control Tower helps businesses optimize their AI investments and ensures seamless, responsible integration into enterprise strategies.
Alongside this launch, ServiceNow also revealed AI Agent Fabric, a new system that enables advanced communication and collaboration between AI agents and models. This move, according to the company, marks a significant step forward in orchestrating agentic AI across the enterprise.
The company confirmed that partners including Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom will be among the first to offer integrations with AI Agent Fabric. These integrations are intended to support seamless enterprise workflows across third-party agents.
Citing Gartner® research, ServiceNow noted that by 2028, enterprises using AI governance platforms could achieve 30% higher customer trust and 25% better regulatory compliance scores than competitors. ServiceNow said its AI Control Tower provides AI management at scale, allowing customers to track all AI agents, understand their roles, assign human oversight, and maintain security.
Amit Zavery, President, Chief Product Officer, and COO at ServiceNow, commented that as AI agents continue to expand across organizations, coordinating their activities becomes critical. He emphasized that AI Control Tower helps businesses manage AI workforces similar to human teams—aligned, coordinated, and optimized to deliver measurable impact.
The company outlined several core capabilities of AI Control Tower: Centralized visibility of all AI agents, models, and workflows, whether native or third-party.
Built-in compliance tools to manage risk, privacy, and security across the AI lifecycle.
Real-time dashboards for reporting performance and measuring outcomes like productivity and revenue.
ServiceNow added that AI Control Tower supports lifecycle management for AI operations, from ideation and deployment to optimization, while helping enforce governance policies.
Ritu Jyoti, Group VP and GM for AI and Data Market Research at IDC, stated that with AI solutions expected to generate $22.3 trillion in cumulative global impact by 2030, organizations will need tools to manage their growing AI assets. She said that centralized governance platforms will drive trust and performance.
Meanwhile, the newly introduced AI Agent Fabric enables native collaboration across AI systems. ServiceNow explained that it supports communication between agents and tools using protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A), allowing real-time coordination of tasks.
Through AI Agent Fabric, thousands of ServiceNow AI agents can now work alongside third-party systems, dynamically sharing context and driving outcomes. This capability is further expanded by domain-specific agents created in ServiceNow AI Agent Studio and additional integrations from ecosystem partners. These integrations will be available via the ServiceNow Marketplace.
ServiceNow also mentioned that AI Agent Fabric complements its Workflow Data Fabric, which connects and analyzes structured and unstructured data across systems. Together, these solutions aim to unify data, workflows, and AI, supporting large-scale enterprise transformation.
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