At ServiceNow Knowledge 2026, NVIDIA and ServiceNow announced an expanded collaboration aimed at bringing autonomous AI agents into enterprise environments with stronger governance, security, and workflow intelligence.
During the event’s opening keynote, NVIDIA founder and CEO Jensen Huang joined ServiceNow chairman and CEO Bill McDermott to discuss the future of enterprise AI and the growing need for AI systems that can independently perform complex tasks within real business workflows.
As part of the collaboration, ServiceNow introduced Project Arc, a long-running autonomous desktop agent designed for developers, IT teams, administrators, and other knowledge workers. The platform is built to connect directly with the ServiceNow AI Platform through ServiceNow Action Fabric, enabling governance, auditability, and workflow intelligence across every action performed by the AI agent.
Project Arc can access local file systems, terminals, and installed applications to complete complex multi-step tasks while operating within enterprise security controls.
The system is powered by NVIDIA accelerated computing, open models, domain-specific AI skills, and secure execution software. It also uses NVIDIA OpenShell, an open-source secure runtime designed for deploying autonomous AI agents in sandboxed and policy-governed environments.
“Project Arc represents the next step in our ongoing collaboration with NVIDIA, bringing autonomous execution to the desktop,” said Jon Sigler, Executive Vice President and General Manager of AI Platform at ServiceNow.
The companies are also developing specialized enterprise AI systems using NVIDIA agent skills, NVIDIA AI-Q Blueprint, NVIDIA Nemotron open models, and the NVIDIA Agent Toolkit to help organizations build customized AI applications for different industries and workflows.
To improve reliability and real-world AI performance, NVIDIA and ServiceNow are advancing NOWAI-Bench, an open benchmarking suite for enterprise AI agents integrated with the NVIDIA NeMo Gym library.
The collaboration also focuses on improving token efficiency for large-scale AI deployment. NVIDIA stated that its Blackwell platform delivers more than 50x greater token output per watt compared to NVIDIA Hopper, significantly reducing operational costs for enterprise AI systems.
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