ServiceNow, the AI control tower for business reinvention, launched new data capabilities that put autonomous AI to work on live, governed enterprise intelligence. The announcement helps resolve the data fragmentation siloed across systems that has held enterprise AI back, and delivers the live intelligence, execution, and agent governance that autonomous AI requires.
Most enterprise AI fails not because the models are flawed, but because the data is fragmented across disconnected systems and ungoverned at the exact points where AI agents need to act, producing shallow intelligence that recommends rather than executes. ServiceNow’s Context Engine and Autonomous Data Analytics change the equation by drawing from the full breadth of enterprise signals (including assets, workflows, people, policies, operational history), and applying a semantic layer that integrates CMDB, workflow data, analytics insights, and third-party systems to ground every AI decision in real-time operational context. As Context Engine learns continuously from system activity, that intelligence compounds with every workflow, making AI more accurate the more it runs.
“The enterprises winning the AI race are bringing trusted, contextual data directly into the workflows that run the business, giving teams and AI the insights to act with confidence,” said Gaurav Rewari, executive vice president and general manager, Data and Analytics Products at ServiceNow. “That’s what ServiceNow is: the platform where insight meets every workflow, every transaction, every decision, and each one compounds the intelligence that drives the next.”
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Intelligence for the AI era
Context Engine provides the deep context and governance that enterprise AI requires. It maps every person, role, asset, service, and policy across a business in real time, giving AI the institutional business context that only comes from being embedded in how a business actually operates. To feed the Context Engine with trusted business logic, ServiceNow is announcing a new vision for Autonomous Data Analytics. Fueled by the innovation from recently acquired Pyramid Analytics, any person or AI agent can query the entire enterprise data estate in plain language and receive secure, contextual insights immediately.
Dozens of disconnected systems, catalogued inconsistently or not at all, and governed through processes designed for human analysts rather than AI agents, contribute to AI that can offer advice but can’t provide workflow resolution. ServiceNow is addressing this with three interconnected capabilities that connect data discovery, governance, and autonomous action without ever leaving the platform where work gets done.
Autonomous Data Governance continuously monitors the data estate and automatically flags quality violations, helping enforce security and privacy policies in real time so the data feeding AI workflows always meets defined standards without manual intervention. And Workflow Data Fabric with ServiceNow Otto makes it all accessible to any user through a natural language experience that guides curated, governed data asset creation step by step.
ServiceNow Data Catalog gives organizations end-to-end visibility across their entire data estate through automated discovery, lineage tracking, and a shared business glossary. That foundation integrates with existing data catalogs across the enterprise, so organizations can gain faster discovery, deeper context, and broader adoption without replacing what they already have. The result is a single, governed review of the entire data estate, wherever that data lives.
SOURCE: Businesswire