Building Jarvis: our agentic financial intelligence engine

Jan 2026 · 10 min

Jarvis isn't a chatbot. It's an agentic financial intelligence engine — meaning it doesn't just answer questions, it takes action. Ask it to 'categorize last month's expenses' and it will do exactly that, learning your patterns over time.

The key architectural decision was giving Jarvis deep context. Rather than treating each query in isolation, Jarvis maintains an understanding of your business model: your revenue streams, cost centers, seasonal patterns, and operational rhythms.

We built Jarvis on a multi-model intelligence architecture. Different tasks — classification, forecasting, anomaly detection, natural-language generation — are handled by specialized models orchestrated by a central reasoning layer.

The result is an intelligence engine that feels less like a tool and more like a financial analyst who's been studying your business for years. It asks clarifying questions, surfaces unexpected insights, and gets sharper with every interaction.