FINTRO was born out of a simple but frustrating observation: most founders and SMB owners run their businesses blind when it comes to finance. They look at bank balances, not cash flow. They react to problems after they happen, not before. Hiring a full-time CFO is expensive, and spreadsheets don’t scale. That gap — between raw financial data and real financial intelligence — is what inspired FINTRO.
While working on backend systems, data pipelines, and AI-driven workflows, I kept seeing the same pattern: companies had data everywhere but clarity nowhere. Accounting tools showed the past, not the future. Decision-making still depended on gut feeling. I wanted to build a system that thinks like a CFO, continuously and objectively, and gives founders the kind of insight usually reserved for large enterprises.
FINTRO is my attempt to turn financial management from a reactive task into a predictive, autonomous system.
This project forced me to level up across multiple dimensions:
- Financial domain modeling — cash flow, DSO/DPO, burn, runway, liquidity collisions
- Agentic AI design — breaking CFO responsibilities into specialized agents (forecasting, risk, collections, scenarios)
- Time-series thinking — forecasting is as much about clean data and assumptions as it is about models
- Production engineering — schema design, migrations, Supabase + Prisma edge cases, and backend reliability
Most importantly, I learned that AI systems are only as good as the structure beneath them. Fancy models mean nothing without disciplined data and constraints.
FINTRO is built as an AI-first backend system, not a UI-first app.
- Backend: FastAPI + Node.js services
- Database: PostgreSQL (Supabase) with Prisma for schema and migrations
- AI Layer: Agent-based architecture using LangGraph
- Agents:
- Cashflow Analysis Agent
- Forecasting Agent (13-week horizon)
- Risk & Anomaly Detection Agent
- Liquidity Collision Agent
- Collections & Intervention Agent
- Scenario Simulation Agent
- CFO Copilot (chat-based reasoning layer)
Each agent operates independently but shares a common financial state, allowing the system to reason like a real CFO — evaluating trade-offs, predicting outcomes, and prioritizing actions.
This project wasn’t smooth sailing.
- Prisma + Supabase quirks: Connection pooling and migrations required careful handling
- Financial correctness: Small modeling mistakes can lead to massive logical errors
- Forecast realism: Avoiding overconfidence in predictions while still being useful
- Agent coordination: Making agents explain why a decision was made, not just what to do
- Scope control: Resisting the urge to build everything at once
There were multiple points where rewriting parts of the schema or logic was unavoidable — but each rewrite made the system stronger.
FINTRO is evolving into an Autonomous CFO platform:
- Real-time cash flow intelligence
- Proactive risk warnings
- Actionable recommendations, not dashboards
- A conversational CFO that understands context, not just numbers
This project represents my belief that finance should be intelligent, continuous, and accessible — not locked behind jargon or expensive roles.
FINTRO isn’t just a tool.
It’s a step toward businesses that know their financial future before it arrives.