NVIDIA and ServiceNow Partner on New Autonomous AI Agents for Enterprises

· Source: NVIDIA Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Cloud Computing & IT Infrastructure · Depth: Intermediate, quick

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

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

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, MLOps Engineer, AI Architect

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Blog.