ServiceNow’s AI Control Tower is the governance and management center for an enterprise’s AI estate; AI Agent Fabric is the communication layer that lets agents, tools, orchestrators and business applications exchange information and coordinate work. Announced at Knowledge 2025, the products address different parts of the same problem: overseeing AI systems and connecting them.
What is ServiceNow AI Control Tower?
ServiceNow announced AI Control Tower at Knowledge 2025 on May 6, 2025. The company describes it as a centralized command center for governing, managing, securing and realizing value from ServiceNow and third-party AI agents, models and workflows on one platform.
Its scope expanded in 2026. At Knowledge 2026, ServiceNow described capabilities to discover, observe, govern, secure and measure AI deployed across enterprise systems, not just within ServiceNow. The expansion included 30 new integrations spanning AWS, Google Cloud, Microsoft Azure, SAP, Oracle and Workday.
The stated rollout was rolling from April 2026. ServiceNow said some enhancements entered Innovation Lab in May, with general availability expected in August 2026. That announcement establishes the expected timing, but does not by itself confirm that every enhancement became generally available on that date.
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How does AI Agent Fabric connect agents?
AI Agent Fabric is the interoperability layer in ServiceNow’s approach. ServiceNow says it supports agent-to-agent, agent-to-tool and agentic-system-to-agentic-system communication, using common protocols including Model Context Protocol (MCP) and Agent2Agent (A2A). The intended result is that agents and systems can exchange information, share context, coordinate tasks and take action in real time.
ServiceNow introduced AI Agent Fabric alongside AI Control Tower in its May 6, 2025 announcement. The two have complementary roles: Fabric connects participants in an AI ecosystem, while Control Tower is meant to provide oversight and management across that estate.
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Is AI Agent Fabric a communication backbone or an orchestration tool?
ServiceNow calls AI Agent Fabric the communication backbone for enterprise AI ecosystems. Based on the announced description, its defining role is interoperability: providing ways for agents, tools, orchestrators and enterprise applications to communicate across vendors.
That is not the same as saying Fabric itself is the sole agent orchestrator. Communication can enable coordinated tasks, but the announcement does not establish that Fabric replaces every participating system’s orchestration or workflow-execution layer. Control Tower, meanwhile, is positioned around governance and management rather than as the communication protocol itself.
Which partners and systems are named?
ServiceNow’s 2025 announcement named Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG and Zoom as initial or planned integration partners. The wording matters: the list combines initial and planned partners and is not a claim that every integration was available at launch.
The Knowledge 2026 announcement separately described 30 new integrations across AWS, Google Cloud, Microsoft Azure, SAP, Oracle and Workday. It did not identify all 30 integrations in the information summarized here, so those six named platforms should not be read as an exhaustive list.
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Why does enterprise AI governance matter?
When agents and models are distributed across cloud platforms and business applications, organizations need ways to know what is deployed, observe what it does, apply controls and assess results. ServiceNow’s 2026 framing for Control Tower adds discovery, observation, security and measurement to its governance and management role across systems.
ServiceNow also cited a Gartner forecast in its 2025 release: by 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than competitors. These are forecast comparisons attributed to Gartner, not reported outcomes for ServiceNow customers or proof that using Control Tower alone produces those results.
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Where ServiceNow’s own workflow platform fits
ServiceNow said in 2026 that more than 100 billion workflows run on its platform each year. That figure provides context for the company’s emphasis on connecting AI agents to enterprise workflows, but it does not establish the number of AI-agent workflows, the number of customers, or a measured productivity gain from Control Tower or Agent Fabric.
ServiceNow president, chief product officer and chief operating officer Amit Zavery characterized the operational challenge this way: “As AI agents proliferate across enterprises, coordinating their work becomes as critical and complex as leading human employees, and companies need new tools to direct this new digital workforce.”
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