# 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 Page: https://stenobird.com/podcast/the-official-saastr-podcast-saas-founders-investors-743090/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 Text version: https://stenobird.com/podcast/the-official-saastr-podcast-saas-founders-investors-743090/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.md Podcast: [The Official SaaStr Podcast: SaaS | Founders | Investors](https://stenobird.com/podcast/the-official-saastr-podcast-saas-founders-investors-743090) Published: 2026-03-11T07:53:00+00:00 Episode link: https://saastr.libsyn.com/saastr-845-how-saastr-built-a-5-million-pipeline-machine-with-15-humans-and-20-ai-agents-with-saastrs-chief-ai-officer-and-momentum-from-salesforces-vp-of-gtm Audio file: https://traffic.libsyn.com/secure/saastr/2026_Pod_edits_-_Momentum_pod_copy.prproj.mp3?dest-id=349407 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/the-official-saastr-podcast-saas-founders-investors-743090/episodes/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 Duration seconds: 2485 ## Resource 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: https://www.saastrannual.com/ ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-official-saastr-podcast-saas-founders-investors-743090/episodes/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/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/the-official-saastr-podcast-saas-founders-investors-743090/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.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.