NVIDIA and ServiceNow Partner on New Autonomous AI Agents for Enterprises
Summary
ServiceNow and NVIDIA are expanding their collaboration to deliver specialized autonomous AI agents for enterprise environments, focusing on context, control, and consistency. Announced at ServiceNow Knowledge 2026, this partnership introduces Project Arc, a self-evolving autonomous desktop agent for knowledge workers like developers and IT teams. Project Arc integrates with the ServiceNow AI Platform via Action Fabric for governance and auditability, utilizing NVIDIA OpenShell for secure, sandboxed execution. The initiative emphasizes open models, domain-specific skills, and secure agent operation, all powered by NVIDIA accelerated computing and efficient AI factories like the Blackwell platform, which offers significantly lower cost per million tokens. The collaboration also includes advancing NOWAI-Bench, an open benchmarking suite for enterprise AI agents, to ensure reliable performance in complex, multistep workflows.
Key takeaway
For CTOs and VPs of Engineering evaluating enterprise AI agent strategies, this collaboration signals a critical shift towards integrated governance and secure execution. Your teams should prioritize solutions that offer both domain-specific customization and robust control mechanisms, such as those provided by Project Arc and NVIDIA OpenShell. Consider the tokenomics and efficiency gains from platforms like NVIDIA Blackwell when planning large-scale AI deployments to ensure cost-effectiveness and rapid production adoption.
Key insights
Enterprise AI agents require robust governance, secure execution, and domain-specific adaptability for scalable deployment.
Principles
- Autonomous agents need enterprise-grade control.
- Open models enhance AI system adaptability.
- Efficiency drives AI agent scalability.
Method
Project Arc connects to ServiceNow AI Platform via Action Fabric for governance, using NVIDIA OpenShell for sandboxed, policy-governed agent execution, and leverages NVIDIA Nemotron open models and agent skills.
In practice
- Deploy Project Arc for complex desktop tasks.
- Utilize NVIDIA OpenShell for secure agent runtimes.
- Benchmark agents with NOWAI-Bench for reliability.
Topics
- Autonomous AI Agents
- Enterprise AI
- ServiceNow Project Arc
- NVIDIA OpenShell
- AI Governance
Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, MLOps Engineer, AI Architect
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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Blog.