An AI agent in an industrial environment goes beyond answering questions or generating text. It can perceive information from machines and systems, make decisions based on predefined goals, take actions, and continuously adapt as conditions change. This makes it valuable for improving efficiency, reliability, and safety.
By combining data from these sources, the agent can develop a broader understanding of operations than any single system provides.