Enterprise AI Takes Action: NVIDIA and ServiceNow Unite for Autonomous Agents
The Next Frontier of Enterprise AI
Enterprise artificial intelligence has evolved from generating text to reasoning through complex problems. Now, businesses are asking the next logical question: how should AI act on its own? Early agent-based systems have demonstrated the potential to go beyond simple prompts and execute multistep tasks. The challenge lies in bringing this capability into enterprise environments, where agents must operate with context, control, and consistency across real-world workflows.
At ServiceNow Knowledge 2026, NVIDIA founder and CEO Jensen Huang joined ServiceNow chairman and CEO Bill McDermott to outline the next phase of enterprise AI. The two companies are expanding their partnership across the full technology stack, delivering specialized autonomous AI agents that are both safe and easy to adopt. These agents are powered by NVIDIA accelerated computing, open models, domain-specific skills, and secure agent execution software. They integrate enterprise workflow context from ServiceNow Action Fabric and governance from ServiceNow AI Control Tower.
Introducing Project Arc: The Autonomous Desktop Agent
ServiceNow unveiled Project Arc, a long-running, self-evolving autonomous desktop agent designed specifically for knowledge workers—including developers, IT teams, and administrators. Unlike standalone AI agents that operate in isolation, Project Arc connects natively to the ServiceNow AI Platform through ServiceNow Action Fabric. This connection brings governance, auditability, and workflow intelligence to every action the agent takes.
Project Arc can access the local file system, terminals, and applications installed on a machine to complete complex, multistep tasks that traditional automation cannot handle. However, it does so with the controls enterprise leaders need to deploy AI at scale. The agent is built on three core requirements that every company will need for long-running, autonomous agents:
- Open models and domain-specific skills that can be customized for unique business needs.
- Security that helps agents act without exposing sensitive data or systems.
- Efficient tokenomics enabled by AI factories that optimize cost and performance.
Secure by Design: How Project Arc Maintains Control
Bringing this level of autonomy to enterprises requires control from the start. 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, companies can define what an agent can see, which tools it can use, and how each action is contained.
Jon Sigler, executive vice president and general manager of AI Platform at ServiceNow, emphasized: Project Arc represents the next step in our ongoing collaboration with NVIDIA, bringing autonomous execution to the desktop. By combining OpenShell’s runtime layer with ServiceNow AI Control Tower, and powered by ServiceNow Action Fabric, we’re delivering the governance and security that enterprise AI requires.
The Role of Open Models and Domain-Specific Skills
To be effective, enterprise AI systems must be adaptable. NVIDIA and ServiceNow are jointly focusing on open models that can be fine-tuned for particular industries and tasks. This approach allows organizations to customize agent behavior without losing the benefits of a shared foundation. Domain-specific skills—such as IT incident response, HR onboarding, or customer service escalation—can be plugged into the agent framework, making autonomous execution relevant to real business processes.
By leveraging Project Arc’s architecture, companies can deploy agents that learn from their environment over time. The agents are designed to evolve as they encounter new scenarios, improving their effectiveness without requiring constant human oversight. This self-evolving capability is critical for enterprise use cases where workflows change frequently.
A Full-Stack Collaboration for Enterprise Trust
The partnership between NVIDIA and ServiceNow goes beyond just software. It encompasses the entire stack—from hardware acceleration to runtime security to workflow integration. This full-stack approach ensures that AI agents are not only intelligent but also trustworthy. The ServiceNow AI Control Tower provides a centralized governance layer where administrators can monitor, audit, and adjust agent behavior in real time. Meanwhile, the NVIDIA accelerated computing infrastructure delivers the raw performance needed for complex reasoning tasks.
Together, these components create an environment where autonomous agents can operate with confidence. Enterprises can start small, with specific tasks in IT or HR, and gradually scale to more complex responsibilities. The goal is to move from reactive automation—where bots wait for triggers—to proactive agents that anticipate needs and take action independently.
As Jensen Huang noted during the keynote, We are entering the age of agentic AI, where the machine doesn’t just answer questions—it gets things done.
With Project Arc and the expanded NVIDIA–ServiceNow collaboration, that vision is becoming a practical reality for enterprise organizations worldwide.
Related Articles
- Agentic AI Testing Faces False-Negative Crisis as Non-Deterministic Behavior Breaks CI Pipelines
- 10 Reasons Why DJI, Once the King of Consumer Drones, Now Faces a Global Sales Crisis
- 6 Critical Insights into the Industrial Cybersecurity Landscape for Q4 2025
- 5 Critical Facts About the Takedown of Massive IoT Botnets
- 10 Key Insights into Khosla-Backed Genesis AI's Robotics Revolution
- From Roomba to Robo-Pet: Colin Angle's New AI Companion for Seniors
- DIY Smart Home 'Vibe Coding' Triggers Security Alarms Across Private Networks
- How to Assess a Vacuum Maker's Surprise Entry into Smartphones