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Saved February 14, 2026
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This article discusses the development and impact of Ramp Sheets, a tool created by Ramp Labs to streamline finance processes using AI. It features insights from Alex Shevchenko and Alex Stauffer on their approach to product development, user feedback, and the challenges of integrating AI with traditional spreadsheet tools.
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Alex Stauffer and Alex Shevchenko lead Ramp Labs, which recently launched Ramp Sheets, a tool designed to streamline processes for finance teams. They embraced an exploratory approach without strict metrics or growth targets, allowing them to focus on developing useful products. Their initial project was an AI-driven form filler that addresses the time wasted by finance professionals on repetitive tasks like filling out forms. This project gained traction, contributing to Ramp's growing user base of over 10,000, primarily through organic growth and word of mouth.
The team identified spreadsheets as a key focus because finance professionals rely heavily on them. Shevchenko noted the challenges of automating complex financial tasks and the importance of making tools that users trust. Initial attempts at automation through coding faced skepticism from finance users who found the outputs difficult to verify. By shifting the focus to tools within the familiar environment of spreadsheets, they aimed to create solutions that finance teams could easily understand and adopt.
Ramp Sheets has found various applications, from cash flow modeling to company valuations, surprising the team with its versatility. Users span from small business owners to investment bankers, all benefiting from faster, more efficient processes. The product's development remains user-driven, with feedback helping shape future features, showcasing a responsive approach to product design.
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