In this video, I show how I use Claude to automate financial forecasting by replacing manual, prompt-based workflows with a structured system. Instead of extracting data, updating models, and repeating the same steps every time new financial data arrives, I break down how to build a forecasting process that runs consistently without rebuilding. This approach improves accuracy, reduces manual work, and ensures your financial forecasts are based on a fixed, reliable system.
You’ll learn how to automate financial forecasting end-to-end, from raw financial data and earnings reports to a fully structured forecasting model that updates automatically. I walk through a real-world example using public company data to show how to handle inconsistent formats, standardize financial inputs, and maintain auditability across every step. The result is a repeatable financial forecasting system in Claude that keeps your model updated, consistent, and scalable over time.
📌 *Timestamps* 00:00 How I Use Claude to Automate Financial Forecasting 01:28 Getting The Source Data 02:18 Building The Forecasting Model 07:47 Automating The Forecasting Model
