We Built an AI VP of Customer Success That Replaced Hundreds of Human Hours. Here's Exactly How.

8 Apr 2026 · 65 min
1:05:20

In this SaaStr podcast demo, Jason Lemkin and Amelia walk through the creation and evolution of their AI VP of Customer Success, nicknamed QB/Qubi/Kiwi. Starting as a simple project‑management portal for SaaStr Annual sponsors, the tool was iteratively rebuilt in Replit (and similar live‑coding platforms) into a fully agentic AI that automates onboarding, daily QBR‑style check‑ins, personalized sponsor communications, and task tracking. They detail the development workflow: writing a granular spec, feeding it to Claude for refinement, loading the spec into a Vibe‑coding environment, integrating single‑sign‑on via Clerk, connecting to Salesforce and other data sources through “agent hopping,” and wiring email/Slack notifications. The system caps AI token usage at $200/month and has delivered a ~70% reduction in billable human hours, saving tens of thousands of dollars. They emphasize the need for continuous testing, daily monitoring, and human oversight, noting regressions, timeout bugs, and the importance of security (keeping sensitive data out of the agent). The discussion also covers strategic considerations: when to build vs. buy, the value of a hybrid human‑AI model for high‑value customers, and how SaaS leaders can identify low‑hanging automation opportunities in onboarding and customer success.

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