SaaStr 845: How SaaStr Built a $5 million Pipeline Machine with 1.5 Humans and 20 AI Agents with SaaStr's Chief AI Officer and Momentum from Salesforce's VP of GTM

SaaStr 845: How SaaStr Built a $5 million Pipeline Machine with 1.5 Humans and 20 AI Agents with SaaStr's Chief AI Officer and Momentum from Salesforce's VP of GTM Amelia LeRutte, SaaStr's Chief AI Officer (and the person Jason Lemkin calls "the AI Agent Whisperer"), breaks down exactly how she went from managing a 10-person team to running 20 AI agents that generated $4.8M in additional pipeline — and closed half of it. In this episode, Amelia walks Jonathan Kvarfordt, Momentum from Salesforce's VP of GTM through: — Her journey from social media manager to Chief AI Officer, including the three-month deep dive where she locked herself in a room to figure out AI agents — The full breakdown of SaaStr's 20-agent stack, including how they split work between tools like Salesforce AgentForce, Artisan, Qualified, Clay, Momentum, Gamma, and Zapier — A live demo of their multi-agent workflow: how a single form submission triggers a chain of agents that enrich data, build personalized Gamma decks, and draft follow-up emails, automatically — Real results: deal volume doubled, win rate doubled, and $2.4M closed from AI-sourced pipeline in just 8 months — The "90/10 rule" for deciding when to buy an agent vs. build one with vibe coding on Replit — Live demos of Digital Jason (Delphi), Amelia AI (Qualified), and a sponsor portal being vibe-coded in real time Whether you're running a lean startup or scaling a go-to-market team, this is one of the most tactical breakdowns of an AI agent stack you'll find. 🎟️ Heading to SaaStr Annual in May? Talk to Amelia AI on the event site for a promo code:

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SaaStr 845: How SaaStr Built a $5 million Pipeline Machine with 1.5 Humans and 20 AI Agents with SaaStr's Chief AI Officer and Momentum from Salesforce's VP of GTM is an episode from The Official Saastr Podcast: SaaS | Founders | Investors by SaaStr.

This episode is 41:25 long.

This episode was published on Mar 11, 2026.

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