Context engines, autonomous data analytics, and workflow data fabrics provide enterprises with the managed, live data that autonomous AI needs to operate.
Knowledge 2026 Today at Knowledge 2026 ServiceNow (NYSE:NOW), ServiceNow’s annual customer and partner event, Knowledge 2026 ServiceNow (NYSE:NOW), the AI control tower for business reinvention, announced new data capabilities that power autonomous AI on top of live, managed enterprise intelligence. This announcement helps eliminate the fragmentation of data siled across systems that has hindered enterprise AI and enables the live intelligence, execution, and agent governance required for autonomous AI.
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Most enterprise AI fails not because the models are flawed, but because data is fragmented across disconnected systems, unmanaged at the very point the AI agent needs to act, and produces shallow intelligence that makes recommendations rather than actions. ServiceNow’s Context Engine and Autonomous Data Analytics change the equation by leveraging all enterprise signals (including assets, workflows, people, policies, and operational history) and applying a semantic layer that integrates CMDBs, workflow data, analytical insights, and third-party systems, grounding every AI decision in real-time operational context. Context Engine continuously learns from system activity, so its intelligence is combined with every workflow, making the AI more accurate the more you run it.
“Companies that are winning in the AI race are bringing trusted, contextual data directly into the workflows that run their business, giving their teams and AI the insights to act with confidence,” he said. Gaurav Rewari, executive vice president and general manager of data and analytics products at ServiceNow. “That’s ServiceNow: a platform where insights inform every workflow, every transaction, every decision, each with a complex of intelligence that drives the next.”
Intelligence in the age of AI
Context Engine provides the deep context and governance needed for enterprise AI. It maps every person, role, asset, service, and policy across your business in real-time, giving AI the organizational business context that can only come from being embedded in how your business actually operates. To feed reliable business logic into the Context Engine, ServiceNow: autonomous data analysis . Innovations from our recent acquisition, Pyramid Analytics, enable any individual or AI agent to query the entire enterprise data estate in plain language and instantly gain secure, contextual insights.
Dozens of disconnected systems, cataloged inconsistently or not at all, and managed through processes designed for human analysts rather than AI agents, contribute to an AI that can provide advice but not workflow resolution. ServiceNow addresses this problem with three interconnected capabilities that connect data discovery, governance, and autonomous action without leaving the platform where the work is done.
Autonomous data governance Continuously monitor data assets, automatically flag quality violations, and enforce security and privacy policies in real-time to ensure data feed AI workflows always meet defined standards without manual intervention. and Workflow data fabric ServiceNow Otto makes everything accessible to everyone through a natural language experience that guides you step-by-step through the creation of curated, managed data assets.
ServiceNow Data Catalog Give your organization end-to-end visibility across your data assets through automated discovery, lineage tracking, and a shared business glossary. This foundation integrates with existing data catalogs across the enterprise, allowing organizations to achieve faster discovery, deeper context, and broader adoption without having to replace what they already have. As a result, your entire data estate is verified in a single, controlled review, regardless of where the data resides.
Real-time execution enables faster and more accurate agent AI
ServiceNow is expanding as agent workloads require real-time access, long-term retention, and analytical flexibility. raptor db pro , A high-performance database native to the ServiceNow AI platform.
live performance Building on the performance and scalability improvements that have driven adoption of RaptorDB Pro over the past few quarters, scale your analytical processing to match the size of your agent workloads. The architectural breakthrough underlying all three features is RaptorDB Pro’s engine. The same database handles both operational and analytical workloads simultaneously, providing real-time insights without the need for performance tradeoffs or separate infrastructure. live connect This feature allows Pyramid Analytics and other analytics providers in your workflow data network to directly access live ServiceNow operational data without pipelines, data copies, or latency. live archive Historical and live data can be queried together from cost-optimized storage, so long-term compliance and real-time performance no longer compete. RaptorDB Pro also adds native support for multimodal processing of graph and time series data, powering complex contextual modeling and new use cases across manufacturing, healthcare, and critical infrastructure.
Workflow Data Fabric extends this execution layer across enterprise data assets, giving organizations the flexibility to choose the best data management partner without vendor lock-in. through workflow data network ServiceNow is expanding its ecosystem to include partners across data quality, data observability, and data security and privacy. This enables these solutions to push rich contextual intelligence directly into workflows, revealing health metrics for data quality and observability, classification of sensitive data, and governance policies at the very point they become actionable. new Workflow Data Network Partner Passport Make procurement seamless. Customers can use their existing Data Fabric credits to activate and leverage select partner solutions from certified partners, including IBM and Boomi, to unify data, AI, and workflows under a single commercial agreement.
Agent governance across any agent and any data
As the adoption of agent AI accelerates, new governance gaps are emerging. AI agents connect to external services, MCP servers, and data sources without central monitoring, approval workflows, or audit trails. Companies that tightly control how employees access sensitive systems often do not apply the same controls to agents working on their behalf.
of ServiceNow MCP Registry is a private company’s Model Context Protocol registry. Built on the open source MCP Registry API and managed by ServiceNow’s AI Control Tower, this registry provides developers with a trusted internal catalog of approved MCP servers. Agents only detect and connect to those that are vetted and enforced at the point of access.
GitHub, Box, and Zoom are early MCP registry partners. While public registries provide community discoverability, ServiceNow MCP registries provide enterprise control. This is a meaningful distinction when agents need to access a wide range of systems and make critical decisions, and allows companies to hold agents to the same standards as employees. MCP Registry complements the new ServiceNow AI Gateway, also announced today. It provides real-time control of agent workloads with governance, observability, and security for complete visibility across any third-party AI system.
What customers are saying about ServiceNow’s data capabilities
paypal
“This was more than just a database migration; it was a foundational step to confidently achieve performance-driven scale and regain the trust and investment of our business partners,” he said. Matthew Kritzer, Principal Platform Architect at PayPal, said: “As a company that handles more than $1 trillion in annual payments, our ServiceNow AI platform must be as fast and resilient as the business itself. Today, we run case management, Cloud Discovery, SecOps, and Now Assist at a scale never before imagined. Database tasks are now 2x faster, and our longest-running operations are 5x faster. ServiceNow has become a critical part of our enterprise AI and automation strategy.”
Zespri
“For us, the value of the ServiceNow platform and its AI capabilities lies in the way people work, not in replacing core business systems.” Tim Lloyd, head of digital operations at Zespri, said: “It’s a digital workflow layer across our ERP and operational platforms, and Workflow Data Fabric allows us to connect and manipulate data across these systems in real time, enabling employee collaboration, automating tasks, and quickly resolving issues. Our focus on employee experience and execution efficiency is delivering real operational benefits across our global business.”
availability
- Workflow Data Fabric with ServiceNow Otto: Available now.
- ServiceNow Data Catalog: Available now.
- Autonomous data governance (observability, quality, privacy): expected in H2 2026
- RaptorDB Pro – Live Connect (SQL API): Available now.
- RaptorDB Pro – Live Archive: Now available in RaptorDB Pro.
- RaptorDB Pro – Live Perform: Available now.
- ServiceNow MCP Registry: Now available via Innovation Lab. Support for A2A agent cards is expected by the end of the year.
- Workflow Data Network – Partner Passport: Scheduled for late 2026.
About ServiceNow
ServiceNow (NYSE: NOW) is the AI command center for business reinvention. The ServiceNow AI platform integrates with any cloud, any model, and any data source to orchestrate work flows across your enterprise. ServiceNow integrates legacy systems, departmental tools, cloud applications, and AI agents to provide a single pane of glass that connects intelligence to execution across every corner of your business. With more than 100 billion workflows running on the platform every year, ServiceNow helps organizations transform fragmented operations into coordinated, autonomous workflows that deliver measurable results. Learn how ServiceNow puts AI to work for people at www.servicenow.com.
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