Most ESG systems today focus on collecting data, measuring performance and generating reports.
The next step is more practical: use real-time operational data to help the factory itself operate more efficiently.
Imagine an AI agent connected, through controlled industrial systems, to sensors, flow meters and pumps.
Instead of simply recording how much water was consumed, the system can understand:
- actual production demand
- current water flow
- process requirements
- historical usage patterns
- abnormal consumption
Then, within predefined engineering and safety limits, it can help regulate water flow according to what the process actually needs.
Production Demand → Sensors → AI Agent → Controlled Action → Feedback
The same principle can apply to energy usage, cooling, material consumption, waste and machinery efficiency.
This changes ESG from:
Reporting what happened
to
Understanding what is happening
and eventually
Acting while it is happening.
The principle is simple:
ESG should not only measure sustainability.
It should help operations become more sustainable in real time.
That is where Agent AI can become genuinely useful in manufacturing.
#ESG #AgentAI #Manufacturing #IndustrialAI #Sustainability #SmartManufacturing #Automation
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Bookmarked, mostly for measuring performance and generating reports.
First piece I have read that treats imagine an AI agent connected honestly.
Short and clear. ESG should not only measure is worth sending to my team. Have a few questions left here.
I do not fully buy real-time yet, but it is a fair argument.
Sent this to two people already. Reporting what happened to understanding is why.
Cara dia bingkai flow meters and pumps lebih baik daripada yang saya sangka. Ada lagi yang saya tak berapa jelas.