NVIDIA and ServiceNow are expanding their collaboration to deliver specialized autonomous AI agents for enterprise environments, integrating NVIDIA's accelerated computing, open models, and secure runtime with ServiceNow's workflow and governance platform.
Overview
The partnership, announced at ServiceNow Knowledge 2026, focuses on moving enterprise AI beyond generation and reasoning into autonomous decision-making. The companies are combining NVIDIA's hardware and software stack with ServiceNow's Action Fabric and AI Control Tower to create agents that can operate across complex, multistep workflows with built-in governance and security.
Project Arc: Autonomous Desktop Agent
ServiceNow introduced Project Arc, a long-running, self-evolving autonomous desktop agent designed for knowledge workers including developers, IT teams, and administrators. Unlike standalone AI agents, Project Arc connects natively to the ServiceNow AI Platform through ServiceNow Action Fabric, providing governance, auditability, and workflow intelligence for every action the agent takes.
Project Arc can access local file systems, terminals, and installed applications to complete complex, multistep tasks that traditional automation cannot handle. It is built on three requirements for long-running autonomous agents: open models and domain-specific skills that can be customized, security that helps agents act without exposing sensitive data or systems, and AI factories that deliver efficient tokenomics.
Security and Open Source Runtime
Project Arc uses NVIDIA OpenShell, an open source secure runtime for developing and deploying autonomous agents in sandboxed, policy-governed environments. ServiceNow is building on and contributing to OpenShell to advance a common foundation for secure, enterprise-grade agent execution. With OpenShell, enterprises can define what an agent can see, which tools it can use, and how each action is contained.
Open Models and Agent Skills
The companies are building on an open ecosystem that allows organizations to tailor models and applications to their specific domains and data. NVIDIA agent skills enable specialized agents, such as ServiceNow AI Specialists, to deliver targeted capabilities across enterprise workflows. The NVIDIA AI-Q Blueprint for building specialized deep research agents empowers ServiceNow AI Specialists to gather context, synthesize information, and support more complex decision-making across business functions.
The NVIDIA Agent Toolkit, including NVIDIA Nemotron open models, provides flexible building blocks and specialized skills for developing customized AI applications.
Benchmarking and Performance
To support real-world performance, the companies are advancing NOWAI-Bench, an open benchmarking suite for enterprise AI agents, integrated with the NVIDIA NeMo Gym library. NOWAI-Bench includes EnterpriseOps-Gym, one of the industry's most challenging enterprise agent benchmarks, where Nemotron 3 Super currently ranks No. 1 among open source models. These evaluations focus on multistep workflows, where enterprise AI systems often encounter real challenges.