According to a recent LinkedIn post from Ramp, 99.5% of its workforce reportedly uses an internal AI workspace called “Glass,” which integrates custom skills, agents, and other tools. The post highlights a new Ramptables episode in which Benjamin Levick speaks with Sebastien Goddijn about deploying Glass, including early challenges and lessons for Ramp’s finance-focused products.
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The content suggests that Ramp is deeply embedding AI into internal operations, which may support faster product iteration and data-driven insights for its spend management and finance customers. For investors, such widespread internal adoption of proprietary AI tooling could indicate a focus on operational efficiency and differentiated product capabilities, potentially strengthening Ramp’s competitive position in financial automation.
The discussion of “painful” initial rollout weeks also implies a willingness to experiment and refine AI systems before scaling them to clients. If learnings from Glass translate into more intuitive, reliable tools for finance teams, Ramp may be able to enhance customer retention and pricing power over time, although the post does not provide concrete metrics or timelines for commercial impact.

