How an AI Sales Agent Saved Our Sales Team 600 Hours a Month

OpenRouter describes Rasp, an AI sales agent built on its Ori platform, as a tool that supports its five-person sales team by qualifying inbound leads, sending most first-touch emails, preparing call briefs, drafting notes, updating CRM records, and escalating sensitive or unusual cases to humans. The company reports that Rasp returns roughly 600 hours per month, reduces per-demo administrative work from 103 to 44 minutes, enables about two additional calls per representative per day, responds to many leads within a minute, and operates at approximately $30 per day compared with nearly $800 daily for earlier agents. It also associates Rasp’s deployment with a 34% faster deal cycle and a 2.6-fold rise in close rates, while acknowledging that pricing changes and market conditions may have contributed. Lessons from prior agents informed an architecture centered on a shared workflow, feature flags, early measurement, and Slack-based interaction, while the company emphasizes that human representatives retain responsibility for calls, negotiations, relationship building, and final decisions. OpenRouter argues that effective go-to-market agents should be easy to deploy, integrated into existing work tools, demonstrably useful, and able to reduce costs by routing routine work to lower-priced models without sacrificing quality.

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