『GTM AI Podcast with Coach K and Jonathan Moss』のカバーアート

GTM AI Podcast with Coach K and Jonathan Moss

GTM AI Podcast with Coach K and Jonathan Moss

著者： AI Business Network
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 Welcome to the GTM AI Podcast, your go-to independent resource to help GTM Professionals become AI Powered. We will cover strategies, new AI tools, AI news and trends, all for the purpose of helping you create real measurable business impact and help your life be easier. We do weekly episodes ranging from interviews to updates to strategy sessions. Sponsored by the AI Business Network www.aibusinessnetwork.ai and GTM AI Academy www.gtmaiacademy.com2025 経済学
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  • The AI Agent Revolution: How Peel's Voice AI is Killing the Traditional Sales Demo (And Why That's a Good Thing)

    The AI Agent Revolution: How Peel's Voice AI is Killing the Traditional Sales Demo (And Why That's a Good Thing)
    2025/07/03
    www.gtmaipodcast www.aibusinessnetwork.ai www.gtmaiacademy.com https://www.getpeel.ai/ https://www.linkedin.com/in/brannon-santos/ The Genesis Story Brannon Santos brings a unique perspective as a founder - he's not a technologist who stumbled into sales problems, but a seasoned sales leader who deliberately chose entrepreneurship. His background includes choosing his college specifically for its entrepreneurship program and strategically entering sales to understand how businesses operate from the inside out. This sales-first DNA permeates Peel's entire approach. The conversation reveals a painful truth about modern B2B sales: the process is riddled with friction. Santos shares a perfect example - a CMO who hasn't spoken to a salesperson in 15 years because her calendar is perpetually full, yet she researches solutions at 11 PM when sales teams are offline. This temporal mismatch between when buyers want to engage and when sellers are available represents billions in lost opportunity. Peel positions itself as a "voice AI layer" that creates intelligent, conversational agents for brands. But this isn't your typical chatbot - these agents can: Conduct full discovery calls in 5 minutes instead of 30-45 minutes Generate detailed "tear sheets" formatted to match specific sales methodologies Create automated "Peel Rooms" (similar to deal rooms) with all conversation insights Enable stakeholders to have the same conversation asynchronously One of the most compelling use cases Santos demonstrates is Peel's ability to conduct mass qualitative research. A marketing agency used Peel to interview 38 sales professionals about lead quality, creating a study called "Do My Leads Really Suck?" What traditionally costs thousands of dollars and takes months can now be done in a day, with results that update in real-time as more participants engage. Santos reveals how Peel uses the Winning by Design bow tie framework, allowing companies to deploy conversational agents at every stage of the customer journey - from awareness through renewal. This strategic approach ensures conversations are contextually appropriate whether someone is just discovering the brand or negotiating renewal terms. The discussion unveils key insights for training conversational AI: Start with easy, closed-ended questions Include personal questions early (people enjoy talking about themselves) Focus on present challenges and near-term goals Build dynamically based on responses Santos predicts that within a year, the entire enterprise sales cycle could theoretically be handled by AI agents. He envisions a world of "agent-to-agent" commerce where your personal AI assistant negotiates with vendor AI assistants on your behalf. While acknowledging human relationship-building will remain important, he sees AI eliminating the mechanical, repetitive aspects of sales.
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    33 分
  • The $5 Million POC: How One AI Pilot Exposed the 88% Failure Rate Nobody's Talking About

    The $5 Million POC: How One AI Pilot Exposed the 88% Failure Rate Nobody's Talking About
    2025/06/26
    www.gtmaipodcast.com www.aibusinessnetwork.ai www.gtmaiacademy.com https://www.linkedin.com/in/anuraggoel2/ The Hidden Crisis: Why Your AI Investment Is Probably Failing (And How to Fix It) If you're like most executives diving into AI, you're doing it wrong. Dead wrong. And the numbers prove it. In this week's explosive episode of the Go to Market AI podcast, enterprise transformation expert Anurag Goel (Red Hat, Salesforce, Adobe) drops a truth bomb that should terrify every C-suite executive: 88% of AI pilots never make it to production. But here's the kicker – he also reveals exactly how his team turned a simple POC into a $5 million value driver. The Problem Nobody Wants to Admit Let's start with the uncomfortable truth. While everyone's racing to implement AI tools, Goel exposes the fundamental flaw in most approaches: "AI founders are so passionate about what they have built... they jump to the shiny object. Look at the features that my technology has. It's so cool. Guess what? Executive buyers don't care." This isn't just philosophical musing. BCG's research backs it up – 68% of AI pilots fail to scale because companies skip the critical step of defining clear objectives and success metrics. They're essentially burning money on technology theater. The Strategic Framework That Changes Everything Goel's approach flips the script entirely. Instead of starting with tools (the mistake 90% of companies make), he advocates for a three-phase transformation framework: Phase 1: Problem Archaeology Dig past symptoms to find root causes Map the actual business process (not the idealized version) Identify where value is being destroyed, not just where AI could be added Phase 2: The Hypothesis-Led Discovery This is where things get interesting. Rather than running blind pilots, Goel's team creates what he calls a "hypothesis business case" BEFORE touching any technology. In the energy company example he shares, they identified a million-dollar opportunity in incident resolution time – then exceeded it by 10% during the pilot. Phase 3: Power Dynamics Navigation Here's the brutal reality: Your POC champion isn't your buyer. Goel emphasizes the critical transition from "proof of concept" to "proof of value" – packaging results in a way that speaks to economic buyers who control budgets.
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    36 分
  • From Prompting Secrets to AI Agents: How This Marketing Expert Saves 18% of Work Time with Simple AI Tricks

    From Prompting Secrets to AI Agents: How This Marketing Expert Saves 18% of Work Time with Simple AI Tricks
    2025/06/19
    www.aibusinessnetwork.ai www.gtmaiacademy.com https://theaihat.com/podcast/ https://www.linkedin.com/in/mikeallton/ Just wrapped up an incredible conversation with Mike Alton, Chief Storyteller at Agorapulse, and my mind is still buzzing from all the AI gold he dropped. If you're feeling overwhelmed by AI or wondering how to actually use it in your day-to-day work, this one's for you. Here's what struck me most about Mike: he's a coder who speaks human. After 20+ years in digital marketing and a computer science background, he's become what I call a "translator" - someone who can take complex AI concepts and make them click for regular folks like us. Mike discovered something fascinating when he asked AI to analyze him based on their conversations. It identified his superpower: bridging the gap between highly technical concepts and simple, practical applications. And honestly? That's exactly what we need more of in the AI space. One of the biggest takeaways was Mike's RICC prompting framework. Here's the breakdown: R - Role: Tell the AI who it needs to be I - Instructions: What you want to accomplish C - Context: All the relevant background info C - Constraints: Any limitations or specific requirements But here's the kicker - Mike always adds "Take your time. Ask me whatever questions you need before we move on." This simple addition transforms AI from a one-way output machine into an actual collaborative partner. During our chat, I asked Mike about the small tweaks that make big differences. Beyond just using a framework, here's what moves the needle: Chain Prompting: Instead of asking for a finished product, break it down. For a blog post, start with topic ideas, then outline, then headline, then content. Each step builds on the last. Let AI Ask Questions: Most people don't realize AI won't push back unless you tell it to. Give it permission to clarify, and watch your outputs improve dramatically. Specific Use Cases: The magic happens when you show someone exactly how AI solves THEIR specific problem, not generic examples. The Bridge Between Tech and RealityThe RICC Framework That Changes EverythingThe 20% Game-ChangersReal-World Magic in ActionThe Creativity Factor That Blew My MindThe Agent Revolution Is HereThe Mindset Shift for Leaders and DoersMy Personal TakeawaysYour Next Steps
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    38 分

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