GTM AI Podcast with Coach K and Jonathan Moss

www.gtmaiacademy.com www.workbounce.com

AI Agents: The Future of Work or Just Another Buzz?

I recently had a fascinating conversation with Adam Smith CEO and Cofounder of Workbounce about the evolving landscape of AI in business. I wanted to understand his POV of how AI agents are revolutionizing workplace productivity, particularly in sales and enablement. Adam shared insights on WorkBounce’s innovative approach to AI implementation, emphasizing the importance of context and human expertise in leveraging AI effectively. We also explored the broader implications of AI on work culture, decision-making, and future job markets. 

Key Highlights: 1. WorkBounce’s unique approach to AI agents for sales enablement 2. The concept of breaking down jobs into “units of work” for AI automation 3. The importance of providing context to AI for better outputs 4. The potential of AI to free us from screens and mundane tasks 5. The growing acceptance and demand for enterprise AI solutions 6. The challenges and opportunities for junior employees in an AI-driven workplace 7. The need for human expertise to guide and interpret AI outputs

Key Quotes from Adam:

“We don’t believe… that you can really solve sales enablement as a top-down project.”

“The main thing people misunderstand… is that [large language models are] really good at compressing information. They’re not very good at expanding information.”

“We’re not even asking it to make up a good answer, we’re saying, look at the sources and just tell us if there’s an answer in there.”

“The thing that I’m most excited about… is just the immediate short-term gain of can I get away from my screen and still do work successfully?”

“We have as human beings… a bandwidth problem, right? We can only read so many words per minute and we can only speak so many words per minute and type so many words per minute.”

 “If I don’t have to understand every aspect of everything that I’m doing, and if I don’t have to look at every single detail, this kind of feedback loop of having this kind of AI bandwidth shield around me that says, here are the important things.” Loved the discussion and look forward to working with Adam and the team some more.

AI-Powered Group Learning: Revolutionizing Corporate Education

www.gtmaiacademy.com www.sparkwise.co

In my latest podcast episode, I had the pleasure of interviewing Vince Jeong the CEO and Cofounder of Sparkwise . We dove deep into the future of corporate learning in the AI era. Vince shared his fascinating journey from McKinsey consultant to edtech entrepreneur, and we discussed how Sparkwise is leveraging AI to enhance group learning experiences. Our conversation covered the challenges of virtual learning, the potential risks and benefits of AI in education, and how Sparkwise is addressing the pressing need for AI adoption in corporate environments. I was impressed by Vince’s insights and Sparkwise’s innovative approach to learning.

Bullets of highlights for GTM professionals:

• I learned that Sparkwise focuses on creating engaging, AI-enhanced group learning experiences for corporate environments

• We discussed how their platform addresses key challenges in virtual learning: connection, attention, and diverse learning modalities

• Vince explained how Sparkwise is helping companies tackle low AI adoption rates in the workplace through interactive group learning

• We both emphasized the importance of developing critical thinking skills alongside AI usage

• Our conversation explored the potential risks of over-reliance on AI in learning and skill development

Key comments from Vince that stood out to me:

1. On Sparkwise’s approach to AI in learning:

• “We are all about how do you use AI to turbocharge that? Versus oh, yeah, it’s not possible. Let’s do things. And for us, one fundamental belief we have we’re in. We’re in the corporate learning space. So we’re teaching adults who are busy professionals and all of that. We’ve definitely structured our platform around human to human interaction. Our belief is that human to human interaction is necessary for people to actually want to learn and try, like hard because you have to try putting the effort to learn.”

2. On the challenge of AI adoptio…

https://www.gtmaiacademy.com. https://www.tofuhq.com/

MARKETING POWERED BY AI

I recently interviewed Elaine Zelby CoFounder and CEO of Tofu , an AI-powered marketing tool. We discussed her journey from mechanical engineering to venture capital and eventually founding her own AI company. Elaine shared insights on the challenges in marketing, particularly the proliferation of tools and the labor-intensive nature of content creation.

She explained how Tofu aims to automate top-of-funnel activities for B2B companies, leveraging AI to create personalized, omnichannel campaigns. We explored the technical aspects of Tofu, including its use of various AI models and quality evaluation frameworks. Elaine also offered advice on evaluating AI tools, emphasizing the importance of addressing specific pain points and integrating seamlessly with existing workflows.

We touched on the future of AI in marketing, particularly in imagery and video creation, and discussed the potential for more specialized B2B-focused AI models.

Bullet Points of Highlights:

– Tofu automates top-of-funnel marketing activities for B2B companies

– The tool uses a combination of AI models, selecting the best one for each task

– Elaine emphasizes the importance of workflow integration in AI tool adoption

– Future developments in AI for marketing may include better imagery and video creation

– Elaine advocates for a bottom-up approach to AI adoption in marketing teams

Key Quotes from Elaine:

1. “The big play, hence the name Tofu , it’s really put the entire top of funnel on autopilot for B2B companies.”

2. “We take this very seriously because quality of the outputs is what’s going to get usage and retention.”

3. “I think given the fact that the models are improving so quickly to where I think the winners will be, and this is also putting my investor hat back on where I think the winners are going to come from are the people who deeply nail workflow for a very specific persona.”

4. “I’ve asked probably a hundred CMOs a question on whether they’re taking a top down or bottoms up approach to AI adoption. And what I’m finding and how I would guide marketing leaders, or go to market leaders, is to do the bottoms up adoption route.”

Take a listen and tell me what you think!

https://www.gtmaiacademy.com. https://www.liminal.ai/

https://www.linkedin.com/in/kevindepopas/

Securing AI: How Liminal is Revolutionizing Enterprise-Wide AI Adoption

1. Kevin DePopas

Head of Go-to-Market at Liminal , shares invaluable insights on the challenges and opportunities of implementing AI in large enterprises. He discusses how Liminal’s innovative approach to AI security is enabling companies to harness the power of generative AI without compromising sensitive data. Kevin also offers a fresh perspective on AI adoption strategies, emphasizing the importance of user-centric deployment over ROI-focused use cases.

Liminal https://www.liminal.ai/ acts as a governance layer between AI tools and users, ensuring security and compliance. They provide solutions that manage and monitor AI systems, helping businesses maintain control and trust in their AI operations. By implementing Liminal.ai’s tools, companies can confidently use AI technologies while safeguarding data and adhering to regulatory standards.

Bullet highlights:

• The rise of “shadow AI” and why firewalling access isn’t the solution
• Liminal’s unique approach to securing generative AI in regulated industries
• The shift from use case-driven to user adoption-focused AI implementation
• The potential emergence and evolution of the Chief AI Officer role
• Innovative ways to leverage voice recognition in AI interactions

Key Quotes from Kevin DePopas :

“Tying your generative AI deployments to hardline ROI and on a use case by use case basis, it can actually delay you quite significantly… The best way to get generative AI into the business is to start with what employees are already using.”

“We’re trying to shift the conversation… focus on user adoption first. There’s plenty of studies out there showing if you get your users effectively using generative AI, they’re going to be much more efficient.”

“I rapidly see [the CISO’s role] changing where the CISO is a part of a much larger kind of decision-making process… a lot of organizations are creating these centers of excellence that are a lot of different departments recommending people to be on this committee and they’re making decisions as a committee.”

“I think we see a lot of technologies in the near future… stop being ‘AI’. It’s just going to become table stakes, right? If you’re n…

www.gtmaiacademy.com www.clay.com

Revolutionizing Go-to-Market Strategies with AI-Powered Data Enrichment: Insights from Clay’s Head of Growth Marketing

I recently interviewed Bruno Estrella, Head of Growth Marketing at Clay, about their innovative approach to data enrichment and go-to-market strategies. Bruno explained how Clay differentiates itself from traditional data providers by offering a flexible, AI-powered platform that aggregates data from multiple sources. This approach significantly improves data coverage and allows for creative, customized research at scale.

We discussed the evolution of outbound marketing techniques and how Clay automates many time-consuming tasks, such as manual research and data entry. Bruno emphasized the importance of having a “human in the loop” to ensure data accuracy and brand consistency, despite the increasing capabilities of AI.

The conversation touched on Clay’s consumption-based pricing model, which Bruno believes better aligns with customer value than traditional seat-based models. We also explored the potential impact of AI on various aspects of go-to-market strategies, including sales processes, marketing automation, and customer engagement.

Bruno shared his thoughts on the future of AI in business, expressing both excitement about its potential to streamline mundane tasks and concern about the risk of over-automation damaging AI’s reputation. He predicted that the buyer’s journey will evolve, with more technical and informed buyers seeking direct access to product information and demos before engaging with sales teams.

Bullet points of highlighted moments for GTM professionals:

– Clay aggregates data from 80+ providers, improving data coverage and accuracy
– AI automates qualitative research, transforming it into structured data points
– Consumption-based pricing model aligns product value with customer usage
– Importance of maintaining human oversight in AI-driven processes
– Prediction: GTM teams will focus more on systems and automations to qualify leads
– Future buyers expected to be more technically informed and ready to purchase when engaging with sales

Key Quotes from Bruno:

“Clay is different because Clay is very much it’s a very flexible product. So you can, we bring, you can bring data from the typical databases that people bring.”

“We actually aggregate multiple data providers. So if you want to find someone’s email, let’s say let’s say you want to find someone’s work email. And we, we try one data provider and you can see this happening.”

“If you can think of what’s the best case scenario, you could probably do it from an enrichment point of view. Cause like you can actually grab the data because it’s very qualitative. You can actually transform qualitative information to quantitative using AI.”

“We truly believe that you should pay for what you get and you should pay for consumption of the product.”

“I think there’s still going to be some level of qualification. There’s still going to be human, but there’s going to be some evolution, like with the types of questions, the types of engagements that you do on these steps before people buy.”

https://www.gtmaiacademy.com/

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“Accelerating AI Adoption: Strategies for Business Transformation and Productivity Gains”

In-depth summary:

This episode of “The GTM AI Podcast” podcast, hosted by Jonathan Kvarfordt (Coach K), features an insightful conversation with Dr. Lisa Chillingworth Watson and Meredith Thatcher, co-founders of Accelerate AI, Inc. The discussion explores the critical role of AI in business transformation, productivity enhancement, and strategic decision-making across various industries.

The conversation delves into Accelerate AI’s unique approach to helping organizations assess and implement AI solutions. They highlight their AI Business Impact Assessment tool, which rapidly evaluates the potential productivity and economic impact of AI on businesses. The experts emphasize the importance of a comprehensive AI strategy that goes beyond simply adopting tools like ChatGPT or Microsoft’s Copilot, stressing the need for alignment with overall business objectives, governance structures, and change management processes.

Watson and Thatcher share insights on the widespread applicability of AI across industries, noting that over 98% of occupations can benefit from AI in some capacity. They discuss the potential time savings – averaging 10 hours per week per employee – and the need for organizations to strategically repurpose this gained efficiency. The conversation also touches on the challenges of change management, the importance of upskilling and reskilling employees, and the need for leadership to guide the transition to AI-augmented work environments.

Highlighted sections:

• Introduction of Accelerate AI and its AI Business Impact Assessment tool
• Discussion on the definition and components of a comprehensive AI strategy
• Insights on AI’s impact across different industries and occupations
• Exploration of the strategic value of AI beyond operational efficiencies
• Vision of an ideal AI-enabled work environment for employees

Key quotes from Lisa Chillingworth Watson and Meredith Thatcher:

1. “Our research is showing us our first round of benchmarking is showing that on average across multiple different types of industries that employees can save up to 10 hours per week per person.” – Meredith Thatcher

2. “An AI strategy will encompass all of those, it’s the people. It’s the systems, it’s the operation and the rules that govern growth and success.” – Lisa Chillingworth Watson

3. “Greater than 98 percent of the occupations have a benefit from AI of some capacity. It’s crazy. Which is astounding. When you think about it.” – Meredith Thatcher

4. “We’re showing between 18 and 24 percent of efficiency gain, easy gain, right? And so you go, wow what do you do with that time?” – Lisa Chillingworth Watson

5. “It’s not just the time and the efficiencies, but now I can do things I could never do before. Or I couldn’t do it fast enough. It would take too many people or the data wasn’t good enough or we didn’t have…

https://www.gtmaiacademy.com/

https://www.commsor.com/

https://www.linkedin.com/in/mac-reddin/

I just had a great chat with Mac Reddin, the guy behind Commsor. He’s got some strong opinions on AI and how we’re using it in business. Mac’s not anti-AI, but he’s definitely skeptical. He thinks we’re putting too much faith in AI, especially in sales and marketing. His main point? AI should help us connect with people, not replace those connections. We talked about how AI can be useful, but also how it can go wrong if we’re not careful. Mac shared some cool examples of using AI as a tool, not a crutch. He’s worried about the long-term effects of relying too much on AI, especially when it comes to building real relationships. It was a eye-opening conversation that really made me think about how we’re balancing tech and human touch in business today.

Highlights of the conversation in bullet points:

• Mac’s journey as a young entrepreneur and the creation of Commsor
• The concept of Commsor as an “anti-AI” platform focusing on human networks
• Critique of current AI implementations in sales and marketing
• Discussion on the potential misuse and overestimation of AI capabilities
• The importance of using AI as an assistant rather than a replacement for human interaction
• Insights on the loneliness epidemic and the need for genuine human connections
• Examples of how AI can be used effectively to support relationship-building
• Concerns about the long-term impacts of AI on human interactions and business practices

Key Quotes from Mac:

• “We help you basically activate your company’s network to drive pipeline, drive revenue.”
• “I feel like AI to me feels a lot like the .com bubble to me, right? Internet was new. People poured money into it. This is the future. This is the future. And then, oops, not quite yet.”
• “As soon as it becomes a pattern, it feels like a sales message and your brain just goes, nevermind.”
• “AI should be your assistant, not your replacement. And as soon as it’s used as a replacement in relationships, oof. Good luck.”
• “I use chat GPT as a sparring partner to send it ideas and flesh things out and, take raw things and help shape them a bit more.”
• “I wouldn’t call myself, I would say I’m an AI skeptic, not an anti AI person is the best way to put it.”

https://www.gtmaiacademy.com  https://gaiinsights.com/

“Why Slow Adoption Could Sink Your Business”

Paul Baier CEO and CoFounder of GAI Insights offered a wealth of knowledge and strategic insights on the rapid adoption of generative AI in business during this enlightening podcast. Drawing from his extensive experience working with various companies, Paul discussed the urgency for businesses to embrace AI technologies and the potential pitfalls of slow adoption. He went into the challenges organizations face in implementing AI, from securing budget allocations to managing change across large workforces.

Listeners will gain valuable perspectives on how to prioritize AI projects for maximum ROI, understand the importance of experiential learning in AI adoption, and learn about emerging trends that could reshape industries. Baier’s insights are particularly valuable for executives and decision-makers grappling with AI integration, offering practical advice on starting small with low-risk projects and building a culture of AI literacy.

We also touch on the potential impact of AI on job markets, the shift towards audio interfaces, and the looming disruption in the SEO landscape.

GAI Insights is also putting on an event sponsored by Forbes called GENERATIVE AI WORLD on October 7-8 in Boston. https://www.generativeaiworld2024.com/

Here are some highlights:

• The importance of alignment on AI urgency within organizations

• The shift from upskilling employees to improving customer service as a priority for AI investment

• The potential for significant job displacement in certain industries due to AI

• The value of learning communities in AI adoption

• The prediction of audio interfaces becoming dominant in AI interactions

• The potential disruption of the SEO industry by AI-powered search tools

Quotes from Paul Baier:

• “We aspire to be the Gartner of Gen AI.”

• “Part of this knowledge worker, for instance, in entertainment in Hollywood was a real strike. That was a real strike for seven and a half months. It was no BS. And that was around ChatGPT 3.5.”

• “We have a thousand interns at our fingertips in every possible thing here…

https://www.gtmaiacademy.com/

https://www.grw.ai/ 

“AI-Powered Sales Coaching: How GRW AI is Revolutionizing Revenue Teams”

I recently sat down with Alex, co-founder and CEO of GRW AI, to discuss how his company is reshaping sales enablement through AI-powered coaching. Alex walked me through his career path, starting as a guest columnist and evolving into a tech sales leader before founding GRW AI. We dove deep into the problems plaguing sales teams today: minimal coaching, missed quotas, and high turnover rates. Alex introduced me to Taylor, GRW AI’s AI-powered deal coach, explaining how it provides tailored, context-aware guidance to salespeople. He showed me how Taylor works with CRM systems, adapts to company-specific sales methods, and offers real-time advice throughout the sales process. We also covered the tech behind GRW AI, including its use of multiple large language models and ability to incorporate new AI advancements quickly.

Alex shared a compelling customer success story, where a company achieved record-breaking results even after losing their sales manager, thanks to GRW AI. We addressed common concerns about AI trust and hallucination, with Alex explaining their approach to training the AI on company-specific playbooks for accuracy. Our conversation then shifted to the future of sales enablement, predicting a move towards more targeted, data-driven strategies enabled by AI. We explored AI’s potential to enhance rather than replace salespeople, emphasizing that human relationships remain crucial in sales. We wrapped up by discussing how AI might reshape sales processes, with Alex suggesting that while core buying and selling dynamics may stay the same, AI will greatly improve efficiency and preparation in sales activities.

3. Bullet point highlights:

– GRW AI addresses the “sales execution gap” with an AI-powered deal coach named Taylor
– Taylor provides personalized, context-aware guidance throughout the sales process
– GRW AI integrates with CRM systems and is trained on company-specific sales methodologies
– The platform has helped customers achieve record-breaking sales results
– AI in sales enablement is predicted to focus on performance improvement and data-driven approaches
– The future of sales is seen as AI-augmented rather than AI-replaced
– AI is expected to increase the time salespeople spend with customers by reducing administrative tasks

4. 5 Key Quotes from Alex about AI that Go-to-Market teams would find useful:

1. “Imagine if every single one of your salespeople in your organization had a deal coach available to them that had intimate knowledge of who you are, what you sell, who you sell to and your way of selling.”

2. “Taylor played the part of expert manager, but the difference is Taylor can be in 10 places at once, 100 places at once and a manager can’t.”

3. “I think AI can, in our case anyway, certainly help sales enablement allocate time, effort, and resource towards the right things. And then also attribute that what they’re doing is working.”

4. “I see a world where being in sales, you’re spending more time focused on the customer and less time doing the admin and that side of things.”

5. “AI augmented selling is to me… like you put on the Ironman suit and I’m able to do things that I couldn’t, like I’m faster, I’m stronger, I’m smarter. I’m able to do things I couldn’t do before, or I’m able to do things 10, a hundred times faster and better than I could do them before.”

https://www.gtmaiacademy.com https://www.aipoweredgtm.com/

For his Custom GPT go here

How to Build a Custom GPT That Saves Hours

I had my man Jonathan Moss on the show again, and we dove deep into the world of custom GPTs for go-to-market strategies. Jonathan’s been talking about this stuff for months, and he finally showed us the goods. He built this badass GPT that helps create comprehensive GTM plans, and let me tell you, it’s impressive. We got into the nitty-gritty of how it works, why it’s so useful, and the thought process behind building it. Jonathan even gave us a live demo, showing how this thing generates product descriptions, ICPs, buyer personas, and a whole lot more. It was like watching a master craftsman at work.

What really blew my mind was how much time this tool saves compared to the old-school manual way of doing things. We’re talking weeks or months of work condensed into a couple of hours or even minutes. Jonathan and I got into a great discussion about the importance of domain expertise when using AI – you can’t just expect the machine to do all the work, you gotta bring your A-game too. We also talked about making these GPTs user-friendly, because what’s the point of a tool if no one can figure out how to use it? The conversation got me fired up about the potential of this tech, especially when we started talking about using GPTs for multilingual team enablement. It’s crazy to think about how far we’ve come and where this tech could take us in the future.

Bullet highlights:

• Jonathan sees GPTs as starter kits for AI agents

• His GTM GPT incorporates 12 key steps, from product description to risk analysis

• The GPT uses a knowledge base of trusted GTM frameworks and resources

• It generates tailored content like ICPs, personas, and sales messaging

• They discuss how this drastically cuts down strategy development time

• Importance of proper context and prompting in getting good AI outputs

• Using GPTs for multilingual team enablement

Key quotes:

Coach:

“They used to say that Content is king, but with AI Context is king. Because if people know context then – Trade and mark that. Trade and mark that! Seriously, because every time I prompt and I get something wrong, I’m like, I didn’t give enough context. It’s my fault. I’m the problem. It’s not the AI’s fault.”

Jonathan:

“Think about putting like a go to market strategy like this, or even a component of that… You would sit, you would think you would ask people, you’d try to figure it out. You…