Generate daily multi-cloud FinOps cost and carbon reports with OpenAI GPT-4o

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1. Workflow Overview

How It Works This workflow automates multi cloud billing analysis and FinOps reporting using a supervised multi agent AI architecture. It targets cloud finance teams, FinOps practitioners, DevOps l...

Best for

DevOps automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.toolcalculator, @n8n/n8n-nodes-langchain.toolcode

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Generate daily multi-cloud FinOps cost and carbon reports with OpenAI GPT-4o
Workflow name: Generate daily multi-cloud FinOps cost and carbon reports with OpenAI GPT-4o

How It Works

This workflow automates multi-cloud billing analysis and FinOps reporting using a supervised multi-agent AI architecture. It targets cloud finance teams, FinOps practitioners, DevOps leads, and CTOs seeking continuous visibility into cloud spend, resource waste, and carbon impact. A daily trigger fetches billing exports via HTTP and parses CSV data. A central Multi-Cloud Optimisation supervisor agent then coordinates four specialised sub-agents: a Resource Utilisation Analyser that identifies idle and over-provisioned assets, a Cost Optimisation Agent that surfaces savings opportunities across providers, a Carbon Footprint Analysis Agent that quantifies emissions per workload, and a FinOps Narrative Generator that produces human-readable financial commentary. Shared tools including a Financial Calculator and Advanced Analytics Code Tool support cross-agent computation. Results are parsed through a Structured Output Parser and formatted into a final consolidated report for stakeholder distribution.

Setup Steps

Configure the HTTP GET node with your cloud provider.
Connect OpenAI credentials to all four sub-agent model nodes.
Link the Financial Calculator and Advanced Analytics Code Tool nodes
Configure the Structured Output Parser schema to match your reporting fields.
Test end-to-end with a sample CSV billing export before activating the daily schedule.

Prerequisites

Cloud provider billing export URLs (AWS, GCP, Azure)
n8n instance (v1.0+)
HTTP access to billing APIs
Report destination (email, Slack, or storage) configured

Use Cases

FinOps teams generating daily multi-cloud spend digests

Customisation

Add a Slack or email node to distribute the final report automatically

Benefits

Daily automation eliminates manual billing export and analysis effort

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Daily Cost Analysis Trigger

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.3

Block 2 - Fetch Billing Exports

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.4

Block 3 - Parse Billing Data

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1.1

Block 4 - Multi-Cloud Optimization Orchestrator

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 5 - Orchestrator Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 6 - Resource Utilization Analyzer Agent

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 7 - Utilization Analyzer Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 8 - Cost Optimization Agent

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 9 - Cost Optimization Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 10 - Carbon Footprint Analysis Agent

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 11 - Carbon Analysis Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 12 - FinOps Narrative Generator Agent

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 13 - FinOps Narrative Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 14 - Financial Calculator

Type / Role: @n8n/n8n-nodes-langchain.toolCalculator - toolCalculator
Config choices: Version 1

Block 15 - Advanced Analytics Code Tool

Type / Role: @n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices: Version 1.3

Block 16 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 17 - Format Final Report

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 18 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 20 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Generate daily multi-cloud FinOps cost and carbon reports with OpenAI GPT-4o
Complexity	advanced
Nodes	25
Categories	DevOps, AI RAG
Author	Cheng Siong Chin
Published	11 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/14003/14003.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source DevOps workflows AI RAG workflows

Frequently asked questions

What does Generate daily multi-cloud FinOps cost and carbon reports with OpenAI GPT-4o do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your DevOps, AI RAG use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.httprequest n8n-nodes-base.extractfromfile @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.agenttool @n8n/n8n-nodes-langchain.toolcalculator @n8n/n8n-nodes-langchain.toolcode

Complexity

advanced

Published 11 Mar 2026

Likes 0

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Install path: /data/workflows/14003/14003.json

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Generate daily multi-cloud FinOps cost and carbon reports with OpenAI GPT-4o

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How It Works

Setup Steps

Prerequisites

Use Cases

Customisation

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Daily Cost Analysis Trigger

Block 2 - Fetch Billing Exports

Block 3 - Parse Billing Data

Block 4 - Multi-Cloud Optimization Orchestrator

Block 5 - Orchestrator Model

Block 6 - Resource Utilization Analyzer Agent

Block 7 - Utilization Analyzer Model

Block 8 - Cost Optimization Agent

Block 9 - Cost Optimization Model

Block 10 - Carbon Footprint Analysis Agent

Block 11 - Carbon Analysis Model

Block 12 - FinOps Narrative Generator Agent

Block 13 - FinOps Narrative Model

Block 14 - Financial Calculator

Block 15 - Advanced Analytics Code Tool

Block 16 - Structured Output Parser

Block 17 - Format Final Report

Block 18 - Sticky Note

Block 19 - Sticky Note1

Block 20 - Sticky Note2

Block 21 - Sticky Note3

Block 22 - Sticky Note4

Block 23 - Sticky Note5

Block 24 - Sticky Note6

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions