www.aibusinessnetwork.ai

www.gtmaiacademy.com

For more from Reuben Bailon: https://www.linkedin.com/in/reubenbailon/In this episode of the GTM AI podcast, Coach K hosts AI specialist Reuben Bailon to discuss the critical steps for successful AI implementation in businesses. Reuben emphasizes the importance of understanding business objectives, defining specific problems, and aligning on clear goals to ensure project success.

He shares his personal journey into AI, which began with a passion for smarter tools and led to a focus on machine learning and generative AI. Through detailed examples, Reuben illustrates how AI can improve operational efficiency, assist in budget planning, and enhance employee experiences.

The conversation also explores the future of AI, where augmented human tasks could evolve into more automated, agentic systems. Reuben concludes by highlighting the immense potential of AI to transform the quality of work, ultimately shifting organizations from a survival mindset to a thriving one.00:00 Introduction and Guest Welcome00:31 Reuben's Journey into AI03:08 Implementing AI in Business05:15 Steps for Successful AI Implementation07:10 Real-World AI Use Cases21:28 Future of AI in Business29:19 Enhancing Employee Experience with AI32:29 Conclusion and Contact Information

www.gtmaiacademy.com www.aibusinessnetwork.ai

To find Joy you can go to:

www.markable.ai

https://www.linkedin.com/in/joy-tang-markable/Join Coach K as he interviews Joy Tan, the CEO of Markable, who shares her compelling journey from China to the U.S., as a math prodigy attending MIT, to her experiences in high-frequency trading, and finally, her current role in utilizing AI to empower social media influencers. From personal stories to professional insights, this conversation covers Joy's entrepreneurial spirit, her impactful use of AI in recognizing products in media, and her vision for making AI accessible to non-technical creators. Learn about her challenges, successes, and future aspirations in this engaging discussion.00:00 Introduction and Special Guest Announcement00:09 The Serendipitous Meeting01:21 Joy's Early Life and Education02:58 First Taste of Entrepreneurship04:30 High Frequency Trading Career06:08 Transition to Social Media and AI07:16 Building Markable and Helping Creators13:28 Challenges and Lessons in AI17:03 Future of AI in Social Media22:52 Closing Thoughts and Contact Information

www.gtmaiacademy.com www.aibusinessnetwork.ai www.thynk.ai

The Year of the AI Agent: How Thynk.ai is Revolutionizing Sales
In my latest GTM AI Podcast episode, I reconnected with John Long and Dane Oborn, longtime friends and co-founders of Thynk.AI Their journey from sales professionals to AI innovators is remarkable - after experiencing the frustrations of inefficient sales processes firsthand, they've built a solution that's changing the game.

Thynk.ai has developed autonomous AI agents that handle the entire pre-sales process from prospecting to discovery, solving a problem every GTM leader understands: ensuring every sales conversation is productive. What struck me most was seeing how their experience in the trenches of sales informed their tech development, creating a solution that addresses real pain points rather than theoretical problems.

• [00:40:04] From frustration to innovation: Thynk.ai emerged because John and Dane couldn't find existing tools that managed the complete pre-sales workflow—they needed something that called, texted, qualified, and prepared prospects before human sales involvement

• [00:49:43] True AI agents vs. assistants: Unlike interactive AI assistants that require constant human guidance, their agents work autonomously toward defined objectives, fundamentally changing how we think about sales development roles

• [01:02:27] The "hands-off" moment: Business owners experience a paradigm shift watching AI agents independently engage with leads in real-time, handling complex conversations without human intervention

• [01:19:31] AI's workforce transformation: Rather than simply cutting jobs, the most strategic companies are leveraging AI to amplify their human talent while expanding their total addressable market

• [01:25:31] Strategic AI implementation framework: John's "three buckets" approach helps GTM leaders distinguish between superficial AI tools, meaningful operational enhancements, and revolutionary custom solutions

Building Intelligence: The Core of Thynk AI

When I invited John and Dane to dig into the mechanics of their AI agents, he explained, "Dan and I both have a background in sales… and through that process, we were constantly frustrated with unqualified leads." This mutual frustration led them to explore AI's potential to streamline the pre-sales process, ensuring sales reps engage with prospects ready for meaningful conversations.

"Imagine if there was a way for AI to help with that pre-sales motion," John continued. "Wouldn't it be cool?" This vision materialized into Thynk AI's agent technology, capable of performing tasks like prospecting, calling, texting, and even holding discovery calls autonomously.

www.gtmaiacademy.com www.aibusinessnetwork.ai

In the ever-evolving landscape of sales, artificial intelligence (AI) has emerged as a pivotal tool for redefining how companies operate. Recently, on the GTMAI podcast, Jonathan Moss interviewed 🚀 Victor Adefuye co-founder and CEO of Dana Consulting (NYC) to explore how AI is revolutionizing the sales industry. Below, we delve into the conversation, capturing Victor's insights on training, coaching, forecasting, and more.

AI: A Catalyst for Sales Efficiency

Victor opened the discussion by highlighting a key area of inefficiency in sales: the gap between training and actionable results. He stressed that despite tactical inefficiencies within sales teams, the disconnect between coaching and real-world outcomes is a deeper challenge. Victor pointed out that while market conditions and products can make any salesperson appear successful, true proficiency is tested when outcomes are lacking. AI, he argues, provides the clarity needed to reassess strategies, structure training, and sustain behavioral changes necessary for long-term success.

Training and Development: The Athlete's Mindset

Drawing a parallel between sales professionals and athletes, Victor emphasized the importance of preparation. Just as athletes prepare for game day, sales professionals must refine their skills continuously. Coaching, regular training, and reliable feedback form the cornerstone of sustained improvement. AI plays a significant role here, by providing data-driven insights that help identify precise skill gaps. Through this, organizations can develop tailored training and coaching strategies that ensure progress is tangible and accountable.

The Power of Personalized Coaching

AI enhances sales training by offering personalized insights, enabling meaningful, targeted interventions. Victor shared examples of how AI can analyze call data, provide constructive feedback, and monitor progress. This not only optimizes the coaching process but ensures that sales reps aren't practicing on customers. By establishing clear baselines and mapping sales processes, AI ensures organizations can define and track both individual and team growth effectively.

Revolutionizing Forecasting Through AI

On forecasting, Victor discussed leveraging AI to enhance accuracy. By incorporating standardized scoring systems, such as MEDDPICC, companies can objectively evaluate opportunities based on defined criteria. AI streamlines this process, offering managers a comprehensive view of deal status and potential, helping to avoid inflated forecasts. Such precision allows sales leaders to align closer with reality and provide more reliable, data-driven projections.

Implementing AI: Training and Workflow Integration

Victor cautioned against the misconception that simply acquiring AI tools is enough. Instead, he emphasized a focused implementation strategy, rooted in proper training and integration into existing workflows. Training sales teams for comfort and proficiency in using AI tools is essential. He underscored the importance of creating environments where AI use blends seamlessly into daily activities, ensuring the transition is smooth and sustainable.

Key Quotes:

1. "The disconnect between training and skill development and actual results has driven me the most in sales."
2. "Salespeople are performers. Just like athletes, you get judged on what happens when it's game time."
3. "AI allows us for the first time to address a lot of these gaps in insight and behavior change necessary to sustain growth."
4. "You can't just buy a piece of software or even build one and expect it to solve the problem. It's about skill development."
5. "Personalized coaching is key. AI gives us the ability to identify personalized skill gaps and develop targeted plans."

www.gtmaiacademy.com www.aibusinessnetwork.ai

https://www.linkedin.com/company/velocityengine-ai/about/

AI-Powered Go-To-Market Strategies with Nick Bhavsar | GTM AI Podcast

In this episode of the GTM AI podcast, host Jonathan welcomes Nick Bhavsar, Co-Founder and CMO of Velocity Engines, to discuss the critical state of go-to-market (GTM) strategies and how AI can revolutionize this space. They explore the inefficiencies plaguing GTM today and trace Nick's transition from a career in engineering to becoming a thought leader in marketing. Nick elaborates on the foundational aspects of GTM, covering essential phases like segmentation, positioning, and persona-specific content creation. He also unveils how Velocity Engines leverages AI to streamline these marketing processes, from strategy development to content execution, and closes with visionary insights on the future of AI in both B2B marketing and consumer behavior. Tune in for an enlightening conversation filled with practical advice, industry stats, and future trends.

00:00 Introduction and Guest Overview

00:43 Nick Bhavsar's Background and Career Journey

05:37 The Broken State of Go-To-Market Strategies

07:50 Fundamentals of Marketing and AI's Role

10:23 Solving Go-To-Market Challenges with AI

17:10 Understanding the Buying Committee

18:36 Personalizing Content for Different Personas

19:54 The Role of AI in Sales and Marketing

22:40 Founding Velocity Engine

23:48 Velocity Engine's Go-to-Market Strategy

26:39 Future of AI in B2B Marketing

30:02 Consumerization of B2B

35:34 Closing Thoughts and Contact Information

www.gtmaiacademy.com www.humanx.co

Before we dive in, here is a special offer from Andrew about HumanX exclusively for our subscribers:

Calling All Directors, VPs, and C-Level Executives at Large Companies
I’m thrilled to extend a special, complimentary invitation to join our SolutionBridge program, an exclusive opportunity at HumanX:

Connect with tailored vendors in 8 pre-set, double-opt 15-minute meetings.

Join an elite lineup featuring leaders like the CPO of OpenAI, CEO of Snowflake, and VP of AI at AWS.

$3,995 registration fee waived for qualified buyers.
Don’t miss the chance to simplify sourcing and supercharge your AI initiatives. Interested?

Learn more about SolutionBridge: https://lnkd.in/ezSzQZ9v
Apply to join (2 min): https://lnkd.in/e8A7cjNh
Let’s shape the future of AI together.

Podcast Summary
Andrew recounts his journey from early startup ventures—including his experience founding a consumer company that integrated hardware and software—to transitioning into roles at primary venture partners, where he honed his approach to scaling businesses and events. He emphasizes a critical lesson learned early on: the market’s dynamics often outweigh the merits of any single business.

Andrew discusses how his experiences led him to pivot toward AI, a field undergoing rapid change and offering immense potential for businesses. In exploring AI’s deployment in various sectors, he highlights the confusion many business leaders face when attempting to integrate AI into their operations, given the often overwhelming array of vendor-led solutions. Instead, Andrew’s approach with the HumanX event is intentionally independent, avoiding vendor biases. The event is designed to serve as a comprehensive roadmap for businesses aiming to implement AI.

Bullet Points of Discussion

• Andrew Blum’s Journey:

  • Transition from founding startups to taking on roles at primary venture partners.

  • Key insight: “The market matters a lot more than the individual business itself.”

• Pivot to AI:

  • Observations on the rapidly evolving AI landscape and the confusion among business leaders regarding effective adoption.

  • Recognition that traditional vendor-led events are limited by inherent biases.

• Event Strategy:

  • Scaling an event from the outset by planning for a large audience (starting at 3,500 attendees in Las Vegas).

  • Incorporation of multiple session formats: keynotes, industry-specific panels, workshops, and networking through one-to-one matchmaking.

• Differentiating the Event:

  • Combining the best elements of academic, thought leadership, and vendor ecosystem events to deliver actionable insights.

  • Emphasis on an independent perspective free from vendor bias.

• Leadership and AI Adoption:

  • The dual importance of robust data infrastructure (managed by CTOs/CIOs) and a culture that encourages sharing practical AI use cases.

  • Discussion on how AI tools can empower individuals across all business functions.

Quotes from Andrew Blum

• “My biggest takeaway was that the market matters a lot more than the individual business itself.”

• “Rising tide lifts all boats.”

• “If you're not encouraged to share use cases and openly speak about the stuff that you're doing, your company is not going to benefit from it.”

• “The best part about AI for me is that the hardest thing of any task is getting started.”

• “I always have ChatGPT open. I'm always like, 'Okay, let me throw this in and get a first draft,' which usually gets me 50% of the way there.”

www.gtmaiacademy.com www.gtmaipodcast.com

www.magai.co

In this episode of the GTM AI Podcast, host Jonathan "Coach K" Kvarfordt sits down with Dustin, founder of Magi AI, a platform transforming how businesses leverage artificial intelligence. A long-time fan of Magi, Kvarfordt delves into Dustin's journey from struggling entrepreneur to AI innovator. The conversation explores how Magi provides a unified interface for multiple AI models and tools. It makes powerful AI accessible to teams of all sizes.

Key Conversational Topics:

• Dustin's entrepreneurial background and the birth of Magi
• The challenges of scaling a marketing agency
• Magi's core features (folders, search, team collaboration, personas)
• Comparing Magi to ChatGPT
• Real-world use cases: brand voice consistency, content creation, GTM strategy
• The future of AI and SEO
• Magi's upcoming features: actions (agents) and automation
• The democratization of AI through a persona marketplace

Key Quotes from Dustin:

• "Magi is one subscription to give you access to all the subscriptions you are probably already paying for."
• "We've got some of the best users in the world, the smartest AI people in the world use Magi."
• "People who are building these applications are developers, not SEO experts."
• "I envision a world where people are creating these really high-level agents and selling them."
• "[With agents] you will be able to create entire procedural workflows...and that I think is going to just reinvent work as we know it."

3 Main Takeaways for GTM Professionals and Leaders:

1. AI Can Radically Enhance Productivity, But Requires a Human Touch: Magi demonstrates how AI can streamline content creation, research, and strategy development. It still necessitates human oversight for quality and strategic alignment.
2. Consolidated AI Platforms Offer Efficiency: Magi's approach of integrating multiple AI models into a single platform offers significant efficiency gains over managing multiple individual subscriptions.
3. The Future of GTM is AI-Powered and Automated: The development of AI agents and automation within Magi foreshadows a future where GTM processes can be orchestrated with unprecedented speed and precision. This has the ability to dramatically improve efficiency and speed up execution.

www.gtmaipodcast.com

https://www.linkedin.com/in/ram-b-01012b183/

www.gtmaiacademy.com

www.aibusinessnetwork.ai

The 2024 AI Go-To-Market Playbook: How to Successfully Sell AI Solutions in Today's Market | Insights from Tech Leader Ram Bulusu

In a recent conversation with Ram Bulusu, a veteran technology leader with 35 years in healthcare technology and current head of AI and Digital at Sanofi, we explored the evolving landscape of AI implementation and go-to-market strategies. Ram shared invaluable insights from his experience bridging the gap between advanced technology and practical business applications, particularly in highly regulated industries like healthcare.

The Evolution of AI Implementation

The conversation revealed a critical shift in how organizations should approach AI adoption. Traditional methods of implementing AI have focused heavily on technological capabilities, often leading to sophisticated platforms that fail to address specific business needs. Ram emphasized that the future belongs to industry-specific solutions that prioritize practical application over technical prowess.

Healthcare serves as a perfect case study for this evolution. The industry, traditionally lagging in technology adoption due to regulatory constraints and complexity, is now seeing successful AI implementations that focus on specific outcomes rather than general capabilities. These successes come from understanding and addressing particular industry challenges, from drug development to patient care.

The New Go-to-Market Paradigm

Ram's insights revealed a fundamental truth about selling AI solutions: success lies not in the sophistication of the technology but in its ability to solve specific business problems. This approach requires a deep understanding of industry verticals and the ability to translate technical capabilities into practical business outcomes.

The most successful implementations start with a clear business problem, develop a targeted solution, and ensure easy implementation. This contrasts sharply with the traditional approach of building complex platforms and trying to find problems they might solve.

Security and Implementation Challenges

A significant portion of our discussion focused on the critical balance between innovation and security. Ram highlighted how companies, particularly in regulated industries, must navigate the complex landscape of data protection, compliance, and practical implementation. The solution, he suggests, lies in a graduated approach: starting small, proving value, and expanding gradually while maintaining robust security measures.

Looking Ahead: 2024-2026

Ram predicts a significant shift in the AI landscape over the next few years, with industry-specific solutions becoming dominant. He envisions a future where AI tools are as ubiquitous as electricity but implemented in highly specialized ways for different industries and applications.

## Key Quotes from Ram:

"Nobody cares how great your technology is - show me what business problem it can solve."

"Don't start with the technology. Start with the end user problem you're trying to solve."

"You can't have your software tool making a final decision. You can have it make a recommendation, but you need a human being to come in and make sure you protect the privacy of the patient."

"The vast majority of the technology really is a platform. I can't use a platform to do my job. I want a plug and play tool."

"When I first demonstrated Gen AI to my quality team and said, this is going to create a quality plan for you... they looked at me like I was crazy. But when they saw the results, it was amazing."

"Gen AI today is not even a Beta version. It's a version 0. By first quarter 2026, you're going to see so much power, it'll blow you away."