Agentic AI
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Artificial Intelligence & Machine Learning
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Next-Generation Technologies & Secure Development
ServiceNow Takes Aim at Enterprise AI Sprawl at Knowledge 2026

At its Knowledge 2026 conference in Las Vegas, ServiceNow announced a major wave of artificial intelligence-first solutions, marking its biggest product release cycle to date.
See Also: AI Agents Introduce a New Insider Threat Model
The company unveiled an enhanced AI Control Tower that can now discover, monitor, govern, secure and measure AI agents, models and workflows – not only in ServiceNow but also across platforms including AWS, Microsoft Azure, Google Cloud, SAP, Oracle, Workday and 25 more enterprise systems.
During its financial analyst day, CEO Bill McDermott and President and CFO Gina Mastantuono set a $30 billion-plus subscription revenue target for 2030, with AI solutions expected to represent more than 30% of annual contract value.
“This is the moment ServiceNow moves beyond the platform of platforms to become the AI agent of agents – connecting any model, any cloud and any data source. We are the rules and rails of business,” McDermott said.
AI Control Tower: From Visibility to Full Life Cycle Command Center
The AI Control Tower originally functioned as a governance dashboard to monitor AI agent activities. ServiceNow said the solution was redesigned across five key operational dimensions: discover, observe, govern, secure and measure.

The AI Control Tower addresses a real enterprise pain point of “runaway AI spend.” Cost tracking and ROI dashboards will give finance and IT leaders financial control as model AI deployments scale up across enterprises.
At its core, the company relies on over 20 years of enterprise operational data, including 100 billion workflows and 7 trillion workflow transactions each year, all supported by the CMDB and the Context Engine.
“Enterprises are under pressure to deploy AI and show results, but there’s a major gap between adoption and accountability. The AI Control Tower will provide unified governance across the entire enterprise AI stack, so security and control move at the speed of the business,” said Jon Sigler, executive vice president and general manager for AI platform at ServiceNow.
Any AI Agent Can Execute Governed Work on ServiceNow
The Action Fabric gives AI agents built by anyone the ability to access to the complete action system of the platform, including flows, playbooks, approvals and catalogs through the model context protocol or server. Each action is managed by the AI Control Tower, which ensures identity verification, permission control and full auditability.
Anthropic became the first design partner, connecting Claude Cowork to ServiceNow’s governed execution layer. Agents built on Claude, Microsoft Copilot or any homegrown tool can now trigger the same enterprise workflows without needing a human to open a file or ticket.
“The gap between knowing what needs to happen and making it happen is where productivity dies. Connecting Claude Cowork to ServiceNow’s system of action closes that gap by enabling enterprise execution, directly in the flow of work,” said Boris Cherny, head of Claude Code at Anthropic.
Moving to an Autonomous Workforce
ServiceNow’s response to doubts about its delivery capabilities is a series of production deployments it consistently highlights. The company claims its internal L1 IT Service Desk AI Specialist handles cases 99% faster than human agents. The Autonomous CRM manages over 100 million customer cases monthly, coordinates more than 16 million orders, and configures over 7 million quotes each month.
“Enterprises need AI that senses, decides and acts securely in line with organizational guardrails. With ServiceNow expanding Autonomous Workforce across critical business functions, organizations can deploy AI specialists to act at scale from a single, governed platform,” said Amit Zavery, president, chief product officer and chief operating officer at ServiceNow.
“As India’s largest private sector bank, AI governance is foundational. AI Control Tower is the common governance layer across all of it, giving us the visibility to manage every AI use case and the confidence to scale,” said Ramesh Lakshminarayanan, Group CIO at HDFC Bank.
Autonomous Security and Risk Management
Cybersecurity crossed the $1 billion mark in annual contract value for ServiceNow last year. The company has consolidated its two major security acquisitions, Armis and Veza, into a single Autonomous Security and Risk offering.
Armis provides agentless, real-time asset intelligence across IT, OT, IoT, code and connected devices, feeding directly into the CMDB, while Veza maps every identity – human and non-human – enforcing least-privilege access at the point of action, providing an audit trail.
“Today’s CISOs have to not only neutralize threats in real time but also report risk to the board with conviction. Autonomous Security & Risk replaces that fragmented stack with a single graph that maps every identity, every permission and every connected asset,” said John Aisien, senior vice president and general manager for security and risk at ServiceNow.
Several companies are reporting measurable results from this implementation. A global energy company across 70+ countries cut threat containment time by 97%. A major U.S. financial institution eliminated 96% of dormant non-human identities, and a Fortune 100 aerospace manufacturer reduced control attestation time by 75%, ServiceNow said.
Partnerships: Governance Goes Cross-Platform
ServiceNow has further expanded AI Control Tower governance to include the Microsoft Agent 365 ecosystem, including Copilot Studio and Azure Foundry agents. Its AI specialists also will be featured in the Microsoft Agent 365 Marketplace as digital employees, with specified roles, permissions and responsibilities within Microsoft 365 applications.
“Together, we’re helping customers act on insights more quickly and drive meaningful outcomes across their business processes,” said Charles Lamanna, executive vice president for Copilot, agents and platform at Microsoft.
Nvidia and ServiceNow launched Project Arc, an enterprise autonomous desktop agent protected by Nvidia’s OpenShell runtime and managed by AI Control Tower, capable of performing multi-step tasks without relying on pre-configured workflows. AI Control Tower is now integrated with the Nvidia Enterprise AI Factory validated design, expanding governance to encompass model workloads at data center scale.
“Together, we will bring agents that feature the security of the Nvidia OpenShell runtime and the power of Nvidia AI factory solutions with the ServiceNow AI Control Tower, providing the control layer necessary for trusted, autonomous operations across the business,” said Kari Briski, vice president of generative AI for enterprise at Nvidia.
What It Means for CIOs
The real challenge ServiceNow addresses is significant. Enterprises managing hundreds of AI agents across disconnected systems without a unified view of their activities, access, or value. AI Control Tower is proposed as the solution, and the extensive integrations announced this week appear to set it apart from competitors.
For CIOs already using ServiceNow, the announcements about Action Fabric and MCP Server are immediately relevant. If agents built on Claude, Copilot or internal tools can now run governed ServiceNow workflows directly, eliminating the need for users to switch to a portal, it will be a significant workflow consolidation, especially in large IT and HR operations.
“The ServiceNow AI Platform must be as fast and resilient as the business itself. Today, database tasks are twice as fast, and our longest-running operations are five times faster. ServiceNow has become a key part of our enterprise AI and automation strategy,” said Matthew Kritzer, principal platform architect at PayPal.
