Microsoft and NVIDIA announced a joint effort aimed at helping enterprises move agentic AI systems from pilot projects into production. The companies argue that while generative models were an important step, the next wave of enterprise transformation requires AI that can act and collaborate with business processes, not only generate answers.
Why prototypes aren’t enough
According to the partners, the demo era is ending and 2026 will be the year organizations must shift from the knowledge layer to the action layer to achieve agentic outcomes that affect the bottom line. They cite Deloitte’s 2026 AI report, which found that 54% of surveyed enterprises expect to move 40% or more of their AI experiments into production.
The companies stress that shipping agentic systems to production is a different engineering problem than deploying generative chatbots. Production agents require orchestration, memory and durable state, runtime isolation, and observability built from the ground up. Once agents are live, every tool and data source becomes an integration challenge, runtimes must withstand operational load, and lack of operational visibility can turn agent assets into liabilities. Monitoring, understanding and troubleshooting across an agent’s lifecycle demand new observability practices.
The production gap
Transitioning from demos to real-world deployments raises multiple challenges: reliably chaining multiple steps, ensuring security and identity across agent components, and monitoring and improving agent behavior. Many teams build bespoke scaffolding to address these problems, which often slows time to value and produces brittle systems. The partners argue a platform approach is necessary: without shared context and intrinsic trust, AI is hard to scale and data fragmentation prevents production agents from matching pilot performance.
What an "agent factory" is
Microsoft and NVIDIA describe Frontier Firms as organizations that not only put agents into production but understand monolithic agents are insufficient. Instead, they build coordinated systems of collaborative agents — what the partners call an "agent factory." This production architecture pairs an agentic control plane with accelerated specialist models, agents, and skills to enable governed systems at enterprise scale.
In such systems, broad-reasoning agents plan, synthesize, and collaborate with users and other agents, while accelerated specialist models and agents execute domain-specific work efficiently.
What each partner provides
Per the announcement, Microsoft supplies the enterprise control plane capabilities — runtime, identity, governance, observability, data access, and tool connectivity — that allow agents to collaborate safely. NVIDIA provides intelligence, acceleration, and specialist layers to give enterprises a repeatable path from isolated demos to governed, scalable agentic systems that can coordinate across business processes to accomplish tasks rather than just answer questions.
At Microsoft Build 2026 the companies demonstrated how this architecture is being implemented across cloud, local, and developer environments, and highlighted several integrations with Microsoft Foundry and related tooling:
- NVIDIA models are available on the hosted agents in Foundry Agent Service.
- NVIDIA’s open model portfolio on Foundry now includes agentic, physical, and scientific AI models.
- NVIDIA Agent Toolkit and NVIDIA NemoClaw blueprints provide open-source building blocks for developers to create production agents on Foundry.
- Foundry Local on Azure Local is now supported on the NVIDIA RTX PRO 6000 Blackwell Server Edition platform.
- NVIDIA OpenShell integrates with GitHub Copilot to support secure agent development.
Next steps
The announcement positions a factory approach — investing in a reliable foundation and repeatable processes — as the path for organizations that want to succeed with agentic AI. The partners point readers to additional resources, including the Microsoft Agent Factory blog series, NVIDIA NIM microservices for accelerated AI deployment, Microsoft Build 2026 announcements, and NVIDIA Nemotron 3 Ultra for improved reasoning in long-running agents. The piece also notes business contact options and clarifies the sponsored nature of the original content.
