ServiceNow today announced a significant expansion of its partnership with NVIDIA to extend agentic AI governance from desktops to data centers. This includes the introduction of Project Arc, a new enterprise autonomous desktop agent, secured by the NVIDIA OpenShell runtime and governed by ServiceNow AI Control Tower, that will live on employee desktops and autonomously complete complex work. ServiceNow AI Control Tower is also now included in the NVIDIA Enterprise AI Factory validated design, extending enterprise governance to large-scale model workloads.
ServiceNow and NVIDIA expand partnership to govern agentic AI from desktops to data centers.
Project Arc is an enterprise autonomous desktop agent secured by NVIDIA OpenShell and governed by AI Control Tower.
AI Control Tower is now included in the NVIDIA Enterprise AI Factory validated design for large-scale model workloads.
Project Arc runs inside NVIDIA OpenShell sandboxed runtime for policy-based management and auditability.
NOWAI-Bench open benchmarking suite includes EnterpriseOps-Gym and EVA-Bench for agent evaluation.
NVIDIA Nemotron 3 Super demonstrates leading performance among open-weight models on EnterpriseOps-Gym.
ServiceNow is introducing Project Arc, an enterprise autonomous desktop agent that thinks, writes code, executes, and adapts when things don't go as expected, completing complex multi-step work across enterprise tools and systems without requiring pre-built workflows.
Every action the agent takes runs inside NVIDIA OpenShell, a sandboxed runtime environment that adds policy-based management so that autonomous activity stays contained, auditable, and enterprise safe. ServiceNow AI Control Tower governs the actions the agent takes, setting policies, monitoring behavior, and logging files read, commands executed, and APIs called. The result is an autonomous desktop agent that enterprise security leaders can fully audit and approve with confidence.
Powered by ServiceNow Action Fabric, which allows any AI agent to access the ServiceNow system of action, and grounded in the ServiceNow Configuration Management Database (CMDB), the agent has deep intelligence about the enterprise, pulling from workflows, systems, and operational history so that actions are informed by how work gets done. Project Arc also meets employees where they work through a desktop app, enterprise collaboration tools, or email, and is designed to provide the same governed execution, whatever the interface.
The ServiceNow AI Control Tower integration with the NVIDIA Enterprise AI Factory validated design was previewed at NVIDIA GTC in March and is now complete, extending enterprise governance to the infrastructure layer where large-scale AI model workloads run. For organizations managing AI at scale, this integration provides a unified governance layer for data centers. AI factory deployments governed by AI Control Tower gain continuous value, risk, and security management across the full model lifecycle, from discovery and inventory to real-time observability, compliance monitoring, and remediation.
Capabilities available to AI factory customers through AI Control Tower include expanded regulatory content packs, enterprise access maps for major cloud providers, and a runtime cost and ROI management framework that tracks productivity gains and monthly value indicators.
“ServiceNow and NVIDIA set out to make AI real for the enterprise, and today we're showing the proof of that work,” said Joe Davis, executive vice president of AI Engineering & Delivery at ServiceNow. “Whether it's autonomous AI agents that can be trusted on the desktop, governance that extends to the data center, or open benchmarks that hold the entire industry accountable, this is enterprise AI that's built to last.”
“Long-running, autonomous agents are rapidly changing the game for enterprise AI, and delivering them securely at scale requires governance that spans models, software and AI infrastructure,” said Kari Briski, vice president of Generative AI for Enterprise at NVIDIA. “Together, NVIDIA and ServiceNow are bringing enterprises 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.”
ServiceNow and NVIDIA are advancing NOWAI-Bench, an open benchmarking suite comprising two frameworks: EnterpriseOps-Gym, a multi-step agentic evaluation framework spanning IT service management, customer service, and HR workflows, and EVA-Bench, a voice agent evaluation framework designed for enterprise settings. Both benchmarks are generally available as open-source releases, and NVIDIA is integrating both into NeMo Gym to make them reusable and accessible for automated model evaluation across the industry.
The collaboration is already producing results. NVIDIA has evaluated NVIDIA Nemotron 3 Super on EnterpriseOps-Gym, with results demonstrating leading performance among open-weight models. On the voice side, EVA-Bench is serving as a primary benchmark for the development of NVIDIA Nemotron VoiceChat model, with ServiceNow and NVIDIA planning to publish joint evaluation results as the model reaches availability.
Project Arc is available as an early preview. The AI Control Tower integration with the NVIDIA Enterprise AI Factory validated design is generally available. NOWAI-Bench, including EnterpriseOps-Gym and EVA-Bench, is available now as an open-source release. Learn more about ServiceNow and NVIDIA's partnership here.
ServiceNow is the AI control tower for business reinvention. The ServiceNow AI Platform integrates with any cloud, any model, and any data source to orchestrate how work flows across the enterprise. By unifying legacy systems, departmental tools, cloud applications, and AI agents, ServiceNow provides a single pane of glass that connects intelligence to execution across every corner of business. With more than 100 billion workflows running on the platform each year, ServiceNow helps organizations turn fragmented operations into coordinated, autonomous workflows that deliver measurable results.
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