In this video, I show how sustainability professionals can go beyond simply using ChatGPT and start building real AI workflows — without coding or a technical background.
You’ll learn a simple, repeatable 3-step method to automate sustainability tasks:
1. Build the structure (Trigger → AI Agent → Action)
2. Give the workflow access to tools (ChatGPT, Google Sheets, Slack)
3. Test and refine until it works reliably
We build a practical workflow together that extracts meter readings from messages, processes them with AI, and stores the data automatically in Google Sheets. Along the way, I explain how prompts actually work, how to shape AI output for real systems, and why workflows are far more powerful than one-off AI chats.
At the end, I also show a more advanced version of the same workflow — combining text + photo submissions, AI validation, human-in-the-loop approval, and a full audit trail using the 4-eyes principle.
If you work in sustainability, ESG, EHS, or reporting and want to save time, reduce manual work, and build more reliable processes with AI, this video shows you exactly where to start.
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