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

Description

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