An industrial AI agent is, in loose current usage, a software system that pursues a goal in a plant setting by reading data, reasoning over it, and taking or proposing actions through connected tools, usually built around a large language model.
The term has no standard definition. Vendors apply it to products ranging from a chat assistant over maintenance manuals to software that can create work orders or adjust schedules. What it usually means: a system that perceives its environment through data, plans multi-step tasks, calls external tools such as a historian query, a CMMS or an MES interface, and keeps some memory across steps. NIST describes agentic AI broadly as systems that act as autonomous agents, making decisions and adapting to their environment, and has started standards work on them.
Typical industrial uses today are read-heavy: summarizing shift logs, answering questions over historian data, drafting root cause reports, preparing work orders or suggesting setpoints for a human to approve. Agents that write directly to control systems are rare, for good reason.
The practical questions are about permissions and verification. What systems can the agent read? What can it write, and does a person approve each action? How are its answers checked against source data? Language models can produce plausible but wrong outputs, and an agent with write access to OT systems also creates a new cybersecurity surface.
Questions about Industrial AI agent
Is there a standard definition of an industrial AI agent?
No. Vendors apply the term to products ranging from a chat assistant over maintenance manuals to software that can create work orders or adjust schedules. NIST describes agentic AI broadly and has started standards work on it.
Do industrial AI agents control machines directly?
Rarely. Typical uses today are read-heavy: summarizing shift logs, answering questions over historian data, drafting root cause reports, or preparing work orders and suggesting setpoints for a person to approve.
What should you check before giving an AI agent access to plant systems?
Permissions and verification. Ask which systems the agent can read, what it can write, whether a person approves each action, and how its answers are checked against source data. Write access to OT systems also creates a new cybersecurity surface.
Industrial AI agent in real plants
- Borouge International and Honeywell: Borouge International ran a live proof of concept of Honeywell Experion Cognition, an AI-enabled control system platform for autonomous control room operations, at its Ruwais facility in Abu Dhabi.
- ANDRITZ and IndustrialMind.ai: ANDRITZ selected IndustrialMind.ai to deploy AI agents for drawing review, BOM generation and root cause analysis in hydraulic equipment parts manufacturing; a pilot phase is moving to a broader rollout.
- Aker BP and Cognite: Aker BP launched a program to deploy AI-driven anomaly detection on equipment such as wells and heat exchangers, feeding data from Cognite's platform into NVIDIA NV-Tesseract models.
- Aramco and Yokogawa Electric: Multiple coordinated autonomous control AI agents (FKDPP reinforcement learning), integrated with CENTUM VP, directly control and optimize acid gas removal operations at Aramco's Fadhili Gas Plant.
- Daikin and Hitachi: Daikin and Hitachi began a trial of a generative AI agent for equipment fault diagnosis at Daikin's Rinkai commercial air conditioner factory in Sakai, Osaka.
Vendors linked to Industrial AI agent
AVEVA (1) · Cognite (1) · Hitachi (1) · Honeywell (1) · Yokogawa Electric (1)
Related terms
Physical AI
Physical AI is AI that perceives, reasons about, and acts in the physical world, typically through robots, vehicles, or machines.
AI in manufacturing
AI in manufacturing is the use of machine learning and related techniques to support or automate decisions in production, such as detecting defects, predicting failures, scheduling, and tuning processes.
OT cybersecurity
OT cybersecurity is the protection of operational technology, the control systems and networks that run physical processes, against cyber threats, with safety, availability and reliable operation as the first priorities.
CMMS (computerized maintenance management system)
A CMMS (computerized maintenance management system) is software that keeps a database of a site's assets and maintenance work.
Edge AI
Edge AI is running machine learning models on or near the device that produces the data, such as a camera, gateway, or industrial PC, instead of in a remote cloud.