OpenAI Uses ChatGPT to Build Custom Forecasting Apps

The traditional monthly financial forecasting cycle can be a time-consuming scramble, involving data collection, spreadsheet updates, and cross-team coordination. OpenAI is tackling this challenge head-on by integrating ChatGPT and a no-code website builder called Sites to create custom, interactive forecasting applications. This innovation promises to free up their finance team for more strategic initiatives.

Jackson, from OpenAI's data science team, explained how this new workflow streamlines the forecasting process. He works closely with the strategic finance team, and together they've developed a method to build interactive UIs that facilitate collaborative forecasting. This eliminates much of the manual effort previously required.

The full discussion can be found on OpenAI Youtube's YouTube channel.

Transforming Financial Forecasting with AI

The core problem OpenAI sought to solve was the manual and often disjointed nature of monthly forecasting. Jackson described the familiar scenario: the beginning of the month scramble, waiting for data, updating endless spreadsheets, and coordinating with product, marketing, and go-to-market teams. The goal was to build something better, specifically an interactive UI that finance partners could use collaboratively.

The process begins with a prompt to ChatGPT. Jackson initiates the monthly forecast by asking it to pull the latest actuals, update the data science baseline, and build an interactive finance forecast using Sites. Sites, described as a tool for anyone to build and host websites with no code and no infrastructure, is a key component of this solution. The output is a dynamic interface that presents the data science baseline, prior forecasts, and allows for scenario building at an aggregate level.

Visualizing and Adjusting Forecasts

The interactive UI provides a visual representation of the data, enabling users to 'eyeball' trends and project them for the next half of the year. Crucially, the system can also break down the forecast by account. Jackson highlighted an example with 'Apex Inc.', one of their larger accounts. The interface shows the baseline and a green line representing adjustments that can be made directly within the UI.

What makes this particularly powerful is that adjusting the forecast for a single account automatically updates the entire model in the background. This ensures that aggregate numbers are also adjusted in real-time, maintaining data integrity across the forecasting model. This level of interactivity and dynamic updating marks a significant departure from traditional static spreadsheet-based forecasting.

OpenAI's Strategic Finance Capabilities

OpenAI, a leader in AI research and development, also boasts significant operational capabilities. StartupHub.ai data shows OpenAI with a strong score of 84/100, reflecting its significant impact and growth. The company has also secured substantial funding, with verified financials indicating it raised $100 billion in 2026, reaching a post-money valuation of $850 billion.

This innovative approach to financial forecasting demonstrates how even leading AI companies are applying AI and custom tooling to optimize their internal operations. By building these bespoke applications, OpenAI is not only improving efficiency but also fostering better collaboration between its technical and financial teams, ultimately driving more informed strategic decisions.