Schneider Electric, NVIDIA and HPE introduce AI agents for industrial operations

Schneider Electric, NVIDIA and HPE are bringing AI agents closer to the systems that keep industrial plants running. Their new collaboration introduces Industrial AI Agents at the Edge for process and heavy industries, with initial agents designed to monitor equipment, respond to cybersecurity threats and improve energy use—not just summarize operating data.

The announcement, dated October 21 on Schneider Electric’s website, focuses on continuous industrial operations rather than robots or humanoids. Schneider describes a setting where reliability, safety, cybersecurity and energy efficiency must be managed together. The companies’ response is to place AI within industrial environments, close to the operational data it uses and the systems its decisions could affect.

The foundation is HPE Private Cloud AI, co-engineered with NVIDIA, combined with Schneider’s operational technology expertise—the knowledge of equipment and control systems used to run industrial processes. NVIDIA’s energy and utilities developer-relations head, Sri Kodali, says the combination also uses NVIDIA Nemotron open AI models and Schneider’s OTMS monitoring platform. Schneider says its EcoStruxure Industrial Insights apps provide one environment to deploy, manage and govern multiple agents.

The first agents have separate responsibilities, but Schneider describes a common sequence: combine operating signals with industrial context, assess a problem, recommend or take action, then check the outcome. These are the companies’ descriptions of the agents’ capabilities, rather than measured results from the customer example in the announcement.

• Equipment monitoring: Agents combine live operating data with equipment configurations, connections between systems, alarms and maintenance history. Schneider says they identify emerging problems, assess likely effects, recommend or initiate corrections, and verify the physical result.
• Cybersecurity: Agents connect network activity with control-system behavior, equipment settings and process conditions. Their described role includes assessing operational impact, recommending or executing responses, and checking that systems have returned to a secure, stable state.
• Energy optimization: Agents use energy-consumption patterns, equipment performance, operating conditions and production requirements to identify possible improvements. They are intended to recommend or implement adjustments, then verify effects on efficiency, operating performance and sustainability.

Running the computing near its data source—the industrial edge—is central to the pitch. The companies say sensitive or regulated operational data can stay within operational boundaries. They also argue that local processing reduces exposure to cyberattacks and can lower some cloud inference, data-transfer and token-related costs. The cost claim is qualified: edge deployment can reduce some expenses, not eliminate the cost of running AI.

Looking ahead, we see significant potential for AI Agents to build on this proven foundation, helping our specialists investigate issues faster and move more effectively from insight to action, while keeping people in control of critical decisions

Matías Jory, Digital & Process Manager, Industrial Operations Vice-Presidency, quoted in Schneider Electric’s announcement

The customer example is CMPC Chile, a pulp, paper and packaging producer. It has used Schneider’s Operational Technology Monitoring System, or OTMS, in production for three years. The system gives its specialists a unified view of control systems, servers, workstations and network switches, helping them spot emerging issues, diagnose problems and set maintenance priorities.

That operating history establishes a monitoring foundation, not a deployment of the newly introduced agents. Schneider’s customer account explicitly describes their introduction as a future step. For CMPC, the proposed progression is from specialists using a shared view of equipment health to agents helping investigate issues and move toward action, with people retaining control of critical decisions.