Forget Hiring More BDRs. Sendoso Built 3 AI Agents Instead. (Here's What Happened) episode artwork

EPISODE · Mar 3, 2026 · 51 MIN

Forget Hiring More BDRs. Sendoso Built 3 AI Agents Instead. (Here's What Happened)

from GTM AI Podcast with Coach K and Jonathan Moss · host AI Business Network

Sendoso fired 73% of their BDR team. Pipeline DOUBLED. Here's exactly how they did it. In this episode of the GTM AI Podcast, I'm joined by not one, not two, but THREE members of the Sendoso leadership team — Kris Rudeegraap (CEO), Austin Sandmeyer, and the man they call the Secret Weapon, Egan Callahan — to break down how they rebuilt their entire GTM motion from the ground up using AI agents and internal data. This isn't theory. This is a live walkthrough of the actual systems, the N8N workflows, the Anthropic Agent Harness architecture, and the exact 6-month transformation timeline that took them from 15+ BDRs generating less than 15% of pipeline to 4 BDRs generating 30%+ — and still climbing. 🔑 WHAT YOU'LL LEARN: → Why external signals (job changes, funding rounds) are now TABLE STAKES — and what actually wins → The Internal Data Advantage Framework: Snowflake + Salesforce = your moat → The Anthropic Agent Harness: 5 architecture patterns separating production agents from expensive demos → 3 fully deployed AI agents: Contract Scraper, Deep Research Engine, AI Proposal Generator → The Build vs. Buy Decision Tree for GTM AI infrastructure → How one BDR used AI to find a prospect's dog's name (Butch) — and closed the deal ⏱️ TIMESTAMPS: 00:00 - Intro & Guests 02:30 - How Sendoso transformed their BDR team with AI 10:15 - The Internal Data Advantage (why your CRM is your competitive moat) 22:00 - Egan's Agent Harness Framework (live N8N walkthrough) 35:00 - Agent #1: Contract Scraper (45 min saved per renewal) 47:00 - Agent #2: Deep Research Engine (vector store + hybrid retrieval) 58:00 - Agent #3: AI Proposal Generator (live demo) 1:08:00 - Build vs. Buy Rubric + 30-Day Roadmap 1:18:00 - The future of the BDR role in an AI-native GTM org 📥 FREE RESOURCES (2 Playbooks from this episode): 🔹 The Internal Data Playbook → Comment "Sendoso" on our LinkedIn post 🔹 The GTM AI Agent Guide → Comment "Sendoso" on our LinkedIn post 🔗 Connect with the guests: → Kris Rudeegraap (CEO, Sendoso): linkedin.com/in/rudeegraap → Austin Sandmeyer: linkedin.com/in/austinsandmeyer → Egan Callahan: linkedin.com/in/egancallahan 🎙️ GTM AI Podcast | Hosted by Jonathan Kvarfordt (Coach K) and Jonathan Moss → Website: gtmaipodcast.com → Subscribe for weekly episodes on AI-native GTM strategy #GTMAI #SalesAI #AIAgents #BDR #GTMStrategy #Sendoso #SalesAutomation #RevenueAI #AIOutbound #SalesOps #AgentHarness #Anthropic

Sendoso fired 73% of their BDR team. Pipeline DOUBLED. Here's exactly how they did it. In this episode of the GTM AI Podcast, I'm joined by not one, not two, but THREE members of the Sendoso leadership team — Kris Rudeegraap (CEO), Austin Sandmeyer, and the man they call the Secret Weapon, Egan Callahan — to break down how they rebuilt their entire GTM motion from the ground up using AI agents and internal data. This isn't theory. This is a live walkthrough of the actual systems, the N8N workflows, the Anthropic Agent Harness architecture, and the exact 6-month transformation timeline that took them from 15+ BDRs generating less than 15% of pipeline to 4 BDRs generating 30%+ — and still climbing. 🔑 WHAT YOU'LL LEARN: → Why external signals (job changes, funding rounds) are now TABLE STAKES — and what actually wins → The Internal Data Advantage Framework: Snowflake + Salesforce = your moat → The Anthropic Agent Harness: 5 architecture patterns separating production agents from expensive demos → 3 fully deployed AI agents: Contract Scraper, Deep Research Engine, AI Proposal Generator → The Build vs. Buy Decision Tree for GTM AI infrastructure → How one BDR used AI to find a prospect's dog's name (Butch) — and closed the deal ⏱️ TIMESTAMPS: 00:00 - Intro & Guests 02:30 - How Sendoso transformed their BDR team with AI 10:15 - The Internal Data Advantage (why your CRM is your competitive moat) 22:00 - Egan's Agent Harness Framework (live N8N walkthrough) 35:00 - Agent #1: Contract Scraper (45 min saved per renewal) 47:00 - Agent #2: Deep Research Engine (vector store + hybrid retrieval) 58:00 - Agent #3: AI Proposal Generator (live demo) 1:08:00 - Build vs. Buy Rubric + 30-Day Roadmap 1:18:00 - The future of the BDR role in an AI-native GTM org 📥 FREE RESOURCES (2 Playbooks from this episode): 🔹 The Internal Data Playbook → Comment "Sendoso" on our LinkedIn post 🔹 The GTM AI Agent Guide → Comment "Sendoso" on our LinkedIn post 🔗 Connect with the guests: → Kris Rudeegraap (CEO, Sendoso): linkedin.com/in/rudeegraap → Austin Sandmeyer: linkedin.com/in/austinsandmeyer → Egan Callahan: linkedin.com/in/egancallahan 🎙️ GTM AI Podcast | Hosted by Jonathan Kvarfordt (Coach K) and Jonathan Moss → Website: gtmaipodcast.com → Subscribe for weekly episodes on AI-native GTM strategy #GTMAI #SalesAI #AIAgents #BDR #GTMStrategy #Sendoso #SalesAutomation #RevenueAI #AIOutbound #SalesOps #AgentHarness #Anthropic

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Forget Hiring More BDRs. Sendoso Built 3 AI Agents Instead. (Here's What Happened)

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This episode is 51 minutes long.

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This episode was published on March 3, 2026.

What is this episode about?

Sendoso fired 73% of their BDR team. Pipeline DOUBLED. Here's exactly how they did it. In this episode of the GTM AI Podcast, I'm joined by not one, not two, but THREE members of the Sendoso leadership team — Kris Rudeegraap (CEO), Austin...

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