Transform your monthly financial reporting from 40+ hours of manual work into an 8-minute automated process. This guide walks you through deploying production-grade financial intelligence infrastructure that Fortune 500 firms use internally.
Phase 1: Prerequisites & Setup
Step 1: Tool Requirements
Before starting, ensure you have:
| Tool |
Purpose |
Pricing |
| n8n |
Workflow automation platform (self-hosted or cloud) |
Free (self-host) or $20+/mo |
| Anthropic API |
Claude Sonnet 4 for financial analysis |
Pay-per-use (~$3-15/report) |
| OpenAI API |
GPT-4.1-mini for chart prompt generation |
Pay-per-use (~$0.50/report) |
| fal.ai |
Nano Banana Pro for financial charts |
Pay-per-image (~$2-5/report) |
| Gamma API |
Presentation generation platform |
$20-40/mo or pay-per-generation |
Total Estimated Cost Per Report: $6-25 (vs. $47,000/month for analysts)
Step 2: API Keys Configuration
Gather these API credentials:
- Anthropic API Key
- OpenAI API Key
- **fal.ai API Key**
- Register at fal.ai
- Navigate to API settings
- Copy key format:
Key [id]:[secret]
- Gamma API Key
- Sign up at gamma.app
- Access developer settings
- Generate API key: starts with
sk-gamma-
Step 3: Financial Data Preparation
Prepare your data sources:
- Current Month Financial Data: Export as CSV/Excel with these metrics:
- Revenue metrics (Total Revenue, MRR, ARR)
- Profitability metrics (Gross Profit, EBITDA, Net Income)
- Customer metrics (Total Customers, New/Churned, Churn Rate)
- Unit economics (ARPA, CAC, LTV)
- Cash flow metrics (Operating Cash Flow, Burn Rate)
- Predicted/Budget Data: Same structure as above with forecasted values
- Business Context: Prepare a document covering:
- Company profile and market position
- Competitive landscape
- Product portfolio and pricing
- Seasonality patterns
- Current strategic initiatives
Phase 2: Workflow Import & Configuration