The use case: how Ramp deploys Retool
Ramp uses Retool to build internal tools for its operations and support teams, including a risk management app where agents view customer risk signals and approve credit increases that update the back end. It has built over 100 internal apps, most used for underwriting, fraud analysis, and risk management.
More reported results
Figures published in Retool’s case study. They are not independently measured by usedby.
Geoff calculated this to be close to $200,000 in costs in the first year of using Retool alone.
Ramp was able to build over 100 internal tools in less than a year.
In the customer’s words
We like Retool a lot because you don't necessarily need a computer science degree to make changes on Retool,it’s at least 10-20% improvement to operational efficiency.When you think about financial services,” Geoff says, “especially B2B financial services, there are a lot of different functions that need to run on our core applications.If you think about those three value propositions,” he says, “it’s at least 10-20% improvement to operational efficiency.This is where Retool helps us more than any other business analytics tools—it combines visibility with action, saving us time and limiting the number of errors we make.Other AI tools used by Ramp
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Explore Ramp’s AI stackRetool users in Fintech & Payments
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Based on Retool’s published case study. We check the public evidence; the results are reported by the vendor.
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- Oct 24, 2026
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- The figure: 20%Checked
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Ramp was able to build over 100 internal tools in less than a year. Building those tools from scratch would have taken much longer. Even if an engineering team took two days per tool, that’s 200 days to build out the current suite












