ServiceNow’s AI Agent Fabric is a new communication and integration layer for enterprise AI agents. It was announced at Knowledge 2025, alongside a slew of other exciting AI products and initiatives.
In simple terms, the product aims to create a common language for AI tools and platforms to easily communicate. This will make it easier for different vendors’ products to exchange information and coordinate tasks across different domains and platforms. AI Agent Fabric is expected to enter general availability in Q3 of this year. In the meantime, here’s everything you need to know.
What Is AI Agent Fabric? Key Details in Brief
“With AI Agent Fabric, ServiceNow’s thousands of AI agents can work side‑by‑side with third‑party agents to share context, coordinate actions, and drive outcomes, operating as part of a coordinated, intelligent system.”
ServiceNow
The new AI Agent Fabric wasn’t the only AI product to be announced at Knowledge 2025. Attention and subsequent coverage from the conference was mostly focused on the AI Control Tower and Apriel Nemotron 15B. Both of these have since been released for general availability, but the AI Agent Fabric isn’t due to arrive until Q3 of this year.
At this stage, therefore, details remain limited – but here’s what we do know.
The product is specifically designed for organizations that use several different types of AI agents, often released by different vendors. It comes as part of ServiceNow’s broader push to help organizations eliminate operational challenges associated with new AI technology. In this case, it’s about breaking down the silos between disconnected AI agents. This should make it easier to share context, coordinate actions, and collaborate.
To do this, it relies on two main protocols: the Model Context Protocol (MCP) and the Agent2Agent protocol (A2A). Together, these create the shared language through which different agents can communicate. ServiceNow has also announced that several integrations are being developed by organizations like Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom.
AI Agent Fabric vs. Workflow Data Fabric: What’s the Difference?
“AI Agent Fabric complements the recently announced ServiceNow Workflow Data Fabric, a breakthrough integrated data layer that allows customers to connect, understand, and act on structured, semi‑structured, unstructured, and streaming data across the enterprise, inside and outside of ServiceNow.”
ServiceNow
In classic ServiceNow fashion, the last few months have seen a flurry of new product announcements, many of which have very similar names and overlapping functions.
This makes it somewhat difficult to understand which product is which and what you’d use them for. This is particularly the case with AI Agent Fabric and Workflow Data Fabric. Plenty of coverage has already confused the two since the announcements last month. Indeed, they’re quite similar in how they work and what they aim to do. But they are different products, and it’s important to understand the difference.
Workflow Data Fabric was announced back in October. It’s an enhanced “integrated data layer that unifies business and technology data across the enterprise”. To explain that with slightly less jargon, it means Workflow Data Fabric does for data what AI Agent Fabric does for AI Agents: Helping enterprises unify data from disparate sources. To do this, it features connectors with a range of well-known cloud storage providers, including Atlassian Confluence, Box, Google Drive, Microsoft SharePoint, and OneDrive.
To further confuse matters, ServiceNow announced further updates to Workflow Data Fabric in Knowledge 2025 (at the same time as AI Agent Fabric): A new update known as Workflow Data Network. According to ServiceNow, this is “a broad ecosystem of data platforms, applications, and enterprise tools that enhance Workflow Data Fabric and connect, understand, and take action from any data source, all on the ServiceNow AI Platform.”
In practice, there’s likely to be significant crossover between Workflow Data Fabric, AI Agent Fabric, and Workflow Data Network. But in the meantime, it’s helpful to think of Workflow Data Network and AI Agent Fabric as communication/integration layers for data and AI agents respectively. Workflow Data Network is a broader ecosystem connecting external platforms, applications, and tools.
Final Thoughts: ServiceNow’s Wider Plans for AI
Of course, the overlapping Venn diagram of ServiceNow AI tools doesn’t just stop there. As we discussed earlier, Knowledge 2025 also saw the release of the AI Control Tower and Apriel Nemotron 15B.
We’ve discussed these in detail elsewhere, so there’s no need to dig much further into them here. But TL;DR, AI Control Tower is a centralized interface to help manage ROI, performance, risk, and governance in AI tools. Apriel Nemotron 15B is a new Agentic AI model, offering similar capabilities as its competitors, but with roughly half of the processing power required.
Individually, these products are compelling enough on their own terms. But collectively, they reveal an interesting trend in ServiceNow’s priorities around AI. Together, the focus of all these is on helping enterprises operationalize AI tools and use them effectively at scale.
Clearly, ServiceNow’s approach is this: It’s not enough to simply offer leading AI functionality. If that product exists in a silo or doesn’t scale properly, it can’t deliver meaningful value, particularly for enterprises. If ServiceNow has played its cards right, we think this could be an increasingly interesting and fruitful strategy in the coming months and years.
In the meantime, watch this space.