A LinkedIn post from Ramp highlights internal adoption of an in-house AI workspace called “Glass,” which the company reports is used by 99.5% of its workforce. The post references a new episode of Ramp’s “Ramptables” series featuring Benjamin Levick and Sebastien Goddijn discussing the tool’s rollout and early challenges.
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The content suggests Ramp is deeply integrating AI into core workflows through custom skills, agents, and integrations, potentially driving internal productivity and product iteration speed. For investors, this emphasis on AI-enabled operations and learning loops from internal usage may support Ramp’s competitive positioning in finance automation and could translate into more differentiated, data-informed products for finance teams over time.
By publicly foregrounding Glass and the experience of its “painful first weeks” of general availability, the post also implies a culture of rapid experimentation and tolerance for early-stage friction in pursuit of long-term gains. This approach may allow Ramp to refine features before wider customer exposure, which could improve product quality and reduce churn risk, though it also underscores execution risk if such internal experiments do not reliably convert into scalable customer value.