ServiceNow Inc. today announced a sweeping overhaul of its entire product lineup, saying that every single one of its services, platforms and products has been “AI-enabled” to enhance agentic automation in the enterprise.
The company said it’s trying to push enterprises beyond the experimental stage of artificial intelligence add-ons. It wants to transition them toward an “AI-native architecture,” where every system they use has agentic capabilities, data connectivity and governance built in.
To do this, ServiceNow said, its AI Control Tower and Workflow Data Fabric offerings have now become core components of its entire product lineup. It’s trying to create a unified experience, accessible through its EmployeeWorks interface, that allows every worker to start automating work with autonomous AI agents.
According to ServiceNow, most enterprises’ AI efforts have been held back by extreme fragmentation. When companies grow to a certain size, they inevitably end up dealing with a chaotic sprawl, using hundreds of disconnected applications – each one with its own data silos and security protocols.
It’s a nightmare for anyone trying to integrate AI, and the result is that most automation efforts fail. Though most organizations have adopted AI tools that can chat and summarize, getting them to do actual work is a whole different ball game, because the AI agents meant to do it lack the deep business context that’s required to automate work accurately.
The solution to this is a new offering called the Context Engine that’s being made available in preview to select customers soon. It’s designed to link together all of the fragmented tools and applications spread across organizations, so it can inform AI agents of what’s happening across the entire business. It uses the company’s Service Graph and Knowledge Graph tools to understand identity relationships, asset dependencies and policy controls across each app.
What this means is that when an AI agent needs to make a decision, it’s not just trying to predict the next word in a sentence. Rather, it will check to see if assets are tied to regulated processes or if there’s a specific approval chain before taking any action.
At the same time, ServiceNow is opening up its ecosystem to developers with the ServiceNow SDK and a new Build Agent Skills offering that will launch later this month. Starting next week, developers will be able to use third-party tools such as Claude Code, OpenAI Codex and Cursor to build applications and deploy them directly on ServiceNow, so that these will also inherit its core security and governance.
The company also made it clear that it’s not only targeting the largest organizations. With the launch of its new Enterprise Service Management Foundation, it’s looking to cater to small and medium-sized firms, helping them to launch AI agents that can automate their information technology, human resources and legal services.
President and Chief Product Officer Amit Zavery said organizations typically spend months trying to assemble the pieces needed to get enterprise AI up and running, and very often they fail in those endeavors. “ServiceNow brings it all together, so customers start with a complete AI-native experience across all products and packages, not a procurement project,” he explained. “From Context Engine’s enterprise intelligence to data connectivity, governance and execution, everything is included by default.”
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