GTM AI Podcast with Coach K and Jonathan Moss

• How to Actually Implement AI That Works (Not Another Failed Pilot)

  www.gtmaiacademy.com www.aibusinessnetwork.ai Ghost Team co-founder Elliot Garreffa breaks down why most companies struggle to see ROI from AI—and what to do about it. This conversation cuts through the hype to reveal the unglamorous truth: successful AI implementation isn’t about buying licenses or running proofs of concept. It’s about understanding your actual workflows, identifying where AI creates 10x (not 2x) improvements, and building systems that your teams will actually use. Elliot shares real examples of SEO systems that compress months of agency work into minutes, and explains why human-in-the-loop isn’t a compromise—it’s best practice. “If you just go and prompt an LLM and try to create some content, it might make incremental improvements, but it’s actually not that good. Where we come in is building systems that create 10x, 100x improvements.” “You have to really understand the problem before you tackle it. Any good technology implementation does that step upfront, and we’ve found it incredibly true for the AI space.” “Don’t think about using AI to do this part of this process. You can just do an entirely different process. That gets far better results than just slapping things on top.” “The kind of thing that would’ve taken months to get back from an agency—we’re doing it directly within the chat window. That obviously changes a lot in terms of a typical process.” “When you add that human touch, it is significantly better. Regardless of how much training data you have, you can still really tell whether something has been AI-generated or not.” “One of the best things you can do when first getting started: look at things you’re spending a huge amount of time on. Focus on automating those first. They save you time, which means you can focus on more valuable tasks.” “People see these workflow automations on LinkedIn and they want them. But whether these systems work is all about the detail under the hood—the prompting, the training data, the customization to your brand.” This conversation goes deep on MCPs, context engineering, and the technical stack that actually delivers results. Listen to the full episode to hear Elliot walk through a live demo of automated SEO research and strategy that would take traditional agencies weeks to produce and learn why starting with Lindy or n8n beats jumping straight to building custom SDR systems.

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• Why 93% of Your Team Uses AI But You Think It's 30%

  www.gtmaiacademy.com www.aibusinessnetwork.ai https://www.futurecraftai.media - Kens podcast Connect with Ken on Linkedin: https://www.linkedin.com/in/kenroden/ The Leadership Blind Spot That’s Killing Your AI Strategy If you’re a GTM leader who thinks roughly 30% of your team is using AI, I have uncomfortable news: 93% of white-collar professionals are already using it. That’s not a typo. That’s the finding from Ken Roden’s doctoral research at Temple University, surveying 200 professionals with statistically significant results The gap between what’s actually happening and what leadership perceives is now the single biggest barrier to AI execution. And it gets worse. The Real Reason Your AI Pilots Are Failing Every headline screams that 95% of AI pilots are failing. MIT published research. Consultants are writing case studies. Everyone assumes the problem is employee resistance, inadequate technology, or change management failures. They’re all wrong. Ken’s research reveals the actual failure point: employees don’t trust their leadership’s vision for how AI will be implemented. It’s not that people won’t use AI - they’re already using it extensively. It’s that they don’t believe leadership understands what they’re doing or has a coherent strategy for scaling it. Think about what that means. Your team is running shadow AI operations right now. They’re using ChatGPT, Claude, and dozens of other tools to do their jobs better. But when you announce your official AI initiative, they don’t trust it enough to adopt it at scale. Key Quotes That Reveal the Pattern On the confidence-competence gap: “There was definitely a correlation between people who said they use AI regularly and them saying that I am confident in my abilities to use AI. And I would say that’s dangerous. Because what, to your point exactly, you might think you’re good at this, but you’re actually maybe not as good as you think.” On what’s actually working: “The stuff that works, the people have the most success with, it’s the most boring stuff. It’s how do we get data from our Slack channel about customer insights into Salesforce... One of the most interesting use cases I saw... saved 20 hours a week per rep.”

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• $40M in Dead Pipeline: The ICP Lie Most Revenue Teams Are Living ft. Hussain Al Shorafa of Revic.ai

  www.gtmaiacademy.com www.gtmaipodcast.com www.aibusinessnetwork.ai www.revic.ai Connect with Hussain: https://www.linkedin.com/in/halshorafa/ Hussain Al Shorafa’s team walked into a customer engagement that should have gone sideways. The company had a sophisticated rev ops function. They’d invested in Six Sense, Demandbase, ZoomInfo, or the full modern GTM stack. They had smart people running the operation. Revic’s assessment: 62% of the accounts this team was actively pursuing sat outside their actual ICP. The customer’s response was predictable. They told Hussain to pound sand. His company was eighteen months old. Theirs had been running this motion for years with serious investment in data infrastructure. Who was this startup to tell them their targeting was broken? Five months of friction followed. Revic kept showing evidence. The customer kept pushing back. Then something shifted. The CRO was at dinner when an email came through, which was another lost deal. Hussain pulled up the platform. Revic had flagged that account from the beginning. The system’s assessment: this deal never had a real chance. The signals weren’t there. The fit wasn’t there. The CRO asked the obvious question: where else is this true? The answer: $40 million in active pipeline. Hussain Al Shorafa started on the technical side before making a hard pivot into sales. The catalyst was a Lakers-Trailblazers playoff game in 2000, Game 7, Kobe to Shaq for the alley-oop dunk. The sales guy who gave him the tickets had a lifestyle Hussain wanted. He decided to chase it. What followed was fifteen-plus years progressing from individual contributor through sales leadership across public and private companies. He built teams. He hit numbers. He also watched the same dysfunction repeat everywhere he went. Sales would bring market signal back to the organization. The organization would push back. Internal friction would make an already difficult job harder. The people closest to the customer would catch heat from functions that had less direct exposure to what buyers actually said and did. Revic.ai came out of that frustration. The thesis: sales organizations generate enormous amounts of knowledge through customer interactions, but that knowledge evaporates constantly. Reps leave. Context disappears. The next person starts from scratch. What if you could capture that institutional memory and make it usable? Every sales organization has two real assets: the people and what those people know. The people churn. Industry average says you’re looking at a nearly net-new sales organization every three years. That’s not a bug in the system, it’s the actual system. Reps get promoted, poached, burned out, or restructured. They leave. When they leave, they take something with them that never gets captured in Salesforce notes or call recordings: context. The understanding of why deals worked. The pattern recognition that told them which accounts were real and which were theater. The instinct for which message landed with which persona and why. Hussain made a point that stuck with me: the most valuable information he ever received as a rep came from peers. Not enablement decks. Not marketing messaging guides. Other reps telling him how they won, why they lost, what competitors showed up, what objections hit hardest. That peer knowledge was gold.

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• Why Communication Is Your New Competitive Advantage for GTM

  www.gtmaiacademy.com www.aibusinessnetwork.ai www.yoodli.ai Connect with Varun: https://www.linkedin.com/in/varun-puri001/ Why Communication Is THE New Competitive Advantage for GTM Varun Puri, CEO of Yoodli, explains why AI role plays aren't just a feature—they're the future of how sales teams practice and win. From his days running special projects at Google under Sergey Brin to building a platform used by Fortune 50 companies, Varun shares what most AI misses about communication, why information commoditization changes everything, and why the best sales coaches are partnering with (not competing against) AI. If you're in GTM, enablement, or sales leadership, this is essential. TIMESTAMPS: 00:00 — Intro 00:30 — Varun's Journey: Google to Yoodli 02:00 — The Real Problem: Access Inequality in Communication Training 05:00 — What Is Yoodli? (Beyond the Hype) 06:00 — Why 90% of AI Role Plays Miss the Point 09:00 — The Technology Stack: Why It's Not Just a GPT Wrapper 11:00 — Enterprise Differentiation & Verticalization 14:00 — The Future of Learning: AI Tutors + Dynamic Coaching 16:00 — Augment, Don't Replace: The Philosophy Behind Yoodli 18:00 — How AI Amplifies Humans (Not Replaces Them) 20:00 — What Varun Actually Uses AI For 21:00 — His Real Conviction: Information Is Becoming Free 24:00 — Why Communication Skills Are the Last Moat 25:00 — The Deeper Problem: Behavior Change Over Tech KEY QUOTES: "Two out of three people struggle with communication confidence." "You can use Excel, but there's a reason you use a CRM." "When information becomes a commodity, the only thing that separates top performers is how they show up. More on AI + GTM: Intelligence Architecture Framework Why AI Role Plays Aren't Going Away The Future of Sales Enablement

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• AI in Sales: The Evergrowth Model for Maximizing Pipeline Efficiency

  www.gtmaiacademy.com www.aibusinessnetwork.ai www.evergrowth.io https://www.linkedin.com/in/jbdaguene/ In this episode of the GTM AI Podcast, host Jonathan Kvarfordt (Coach K) sits down with JB Degune, CEO and founder of Evergrowth. They discuss JB's journey into the SaaS business world, starting with his success at Trustpilot and leading up to the founding of Evergrowth. JB shares how Evergrowth leverages AI agents to enhance sales processes, making them more customer-centric. Listen in to learn about the challenges and breakthroughs in integrating AI into sales, the importance of having a clear value proposition, and how AI can significantly boost productivity and efficiency in GTM teams. Explore real-world use cases, compare Evergrowth’s solutions to other tools like Clay, and get insights into the future of AI in the sales industry. 00:00 Introduction and Guest Welcome 01:02 JB's Journey into SaaS and Trustpilot 02:56 Founding Evergrowth and Early Challenges 04:11 The Impact of AI on Lead Research 05:05 Evergrowth's GTM Strategy and AI Agents 16:57 Real-World Use Cases and Success Stories 22:05 Future of Sales with AI and Buyer Agents 25:05 Conclusion and Farewell

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