Generate carbon emissions reports with OpenAI, Slack and an ESG dashboard

by Oneclick AI Squad ✓ · 22 views · created 2026-08-14 · Document Extraction, AI Summarization

What this workflow does

This AI workflow has 17 nodes and runs when an HTTP POST request hits its webhook URL (plus 2 other triggers). Along the way it connects OpenAI Chat Model and Slack.

How it runs

Trigger: When an HTTP POST request hits its webhook URL (plus 2 other triggers).

1. Set - Config (Edit Fields (Set)): sets 18 fields: companyName, facilityName, region…
2. HTTP Request: calls an HTTP API
3. JS - Calculate Carbon Emissions (Code): runs custom JavaScript code
4. Switch: routes items into 4 branches
5. Wait: pauses before continuing
6. If: checks a condition and branches into true / false
7. AI - Generate Sustainability Report (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model
8. Set - Discarded/Cancelled (Edit Fields (Set)): sets 1 field: finalStatus
9. JS - Parse LLM Output & Build Report Payload (Code): runs custom JavaScript code
10. Wait: pauses before continuing

…plus 3 more steps. See the full node list below.

Services it uses

OpenAI Chat ModelSlack

Before you upgrade to n8n 3.0

Nodes used (12)

• Webhookn8n-nodes-base.webhook
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Manual Triggern8n-nodes-base.manualTrigger
• Edit Fields (Set)n8n-nodes-base.set
• HTTP Requestn8n-nodes-base.httpRequest
• Coden8n-nodes-base.code
• Switchn8n-nodes-base.switch
• Waitn8n-nodes-base.wait
• Ifn8n-nodes-base.if
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Slackn8n-nodes-base.slack

From the author

Quick overview This workflow receives energy consumption data or runs on a schedule, converts electricity and fuel usage into estimated CO2e using a live grid-intensity API, and generates a management-ready sustainability report with OpenAI, delivering the…

View the original on n8n.io → Check your own copy