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Free Lesson

AI Native Sales: How to 5X Sales With Agent-Powered Teams

Part of Building an AI GTM Engine

Hosted by Mahesh Yadav

Fri, Oct 2, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

122 students

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Master Agentic AI for PMs with Official Anthropic Claude Certifications
Mahesh Yadav
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What you'll learn

Understand AI-Native Sales Architecture & Agent Roles

Understand 5-agent system: Caller, Coach, Intel, Ops, Finance. How to design agents for each sales function

Align Your Team: Getting MSR, PSR, Ops on the Same Page

Learn why agents fail: misalignment. How to align MSR, PSR, Exec, Ops, Finance. Shared metrics = shared success.

Build & Deploy Your MSR Caller Agent: Week-by-Week

Implement MSR Caller Agent in 6 weeks. Record calls, train, deploy, measure. Get quick wins before scaling to full team.

Build & Deploy Your MSR Caller Agent (Live Demo Lab)

Launch live MSR Caller Agent in 30 minutes. Hands-on lab. No code. Phone number → agent → live calls.

Why this topic matters

AI agents are rewriting sales economics. Most companies understand this intellectually but fail in execution. They build one agent, teams resist, agents go unused, project dies. This workshop teaches you the full system: 5-agent architecture, team alignment, hands-on lab & business case. Master this, and you unlock 5x pipeline with the same headcount.

You'll learn from

Mahesh Yadav

Ex AI Product Lead - Google l Meta l Microsoft l AWS | 10k+ Alums

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

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