Consider a simple industrial instruction:“Start the pump.”An AI agent identifies the equipment, sends the command, and r...

Consider a simple industrial instruction:“Start the pump.”An AI agent identifies the equipment, sends the command, and receives a successful response.From the software layer, the task appears complete. But what if the actuator failed, feedback is delayed, or the pump never actually started?For AI systems that interact with physical equipment, command acknowledgment is not the same as physical success.The Software-to-Physical GapIn a software system, an API response may indicate that an operation was accepted. Physical equipment introduces another question:Did the intended state change actually occur?An actuator can fail after receiving a command. Feedback can arrive late. A device can acknowledge an instruction while its physical state remains unchanged.This means an AI agent needs more than command generation. It needs to identify the target, check whether the action is allowed, monitor execution, and verify the resulting state.A Practical Control WorkflowA useful control loop can be ...