The Finance AI Agent operates as a multi-stage intelligence pipeline that transforms raw financial data into board-ready presentations.

System Overview

[Financial Data Sources] 
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[Business Context Generator] (Claude Sonnet 4)
↓
[Data Extraction & Normalization]
↓
[CFO-Level Variance Analysis] (Claude Sonnet 4)
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[Chart Generation] (Nano Banana Pro)
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[Presentation Assembly] (Gamma)
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[Board-Ready Monthly Report] (8 minutes)

Stage 1: Data Collection

Form-Based Data Input

The system collects five critical inputs:

1. Company Name
   • Organizational identifier for presentation branding
2. Business Context
   • Market positioning and competitive landscape
   • Product portfolio details
   • Seasonality patterns
   • Strategic initiatives
3. Current Month Financial Data (File Upload)
   • Revenue by product line
   • Operating expenses by category
   • Customer acquisition metrics
   • Churn and retention data
   • Cash flow statement
4. Forecasted Financial Data (File Upload)
   • Budget vs actual comparison targets
   • Forward-looking projections
   • Scenario modeling data
5. New Initiatives (Optional)
   • Recent product launches
   • Market expansion activities
   • Organizational changes
   • Competitive responses

Stage 2: Business Context Profile Generation

Structured Context Engineering

Claude Sonnet 4 transforms raw business description into structured JSON profile containing:

Company Profile

• Industry classification
• Company stage and employee count