The Scale Up Show

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S -- In this video, I reveal how to enhance CRM systems using the deep research capabilities embedded in AI models like OpenAI. I share a step-by-step guide on creating effective prompts, connecting CRM systems such as HubSpot, and transforming insights into actionable strategies for revenue growth. I emphasize the importance of leveraging AI for data analysis and highlight the potential it holds to significantly improve business outcomes. Chapters 00:00 Unlocking CRM Potential with Deep Research 02:50 Step-by-Step Guide to Implementing Deep Research 06:12 Transforming Insights into Actionable Strategies

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S -- In this conversation, Ryan Staley and Tom Andrews discuss the integration of AI and automation within Pavilion, focusing on the development of a mentoring program. Tom shares insights into the challenges faced while building an AI-driven matchmaking system for mentors and mentees, the iterative process of refining prompts for better results, and the eventual success achieved with the Manus platform. The discussion highlights the importance of clear communication in AI prompting and the potential for transferring these techniques across different applications. Chapters 00:00 Introduction to Pavilion and AI Integration 02:51 Building a Mentoring Program with AI 05:49 Challenges with AI Matchmaking 08:43 Iterating on AI Prompts for Better Results 11:39 Finalizing the Mentoring Match Process 14:54 Transferring AI Prompting Skills 16:37 Conclusion and Future Insights

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S -- In this conversation, Ryan Staley interviews Amos Bar-Joseph, the founder and CEO of Swan AI, about the innovative approach to building an autonomous business using AI agents. They discuss the shift from traditional growth strategies to a model that leverages AI for operational efficiency, the creation of self-learning systems, and the integration of AI into go-to-market strategies. Amos shares insights on how to build a business that scales without increasing headcount, emphasizing the importance of human-AI collaboration and the iterative process of developing AI capabilities. Chapters 00:00 Introduction to Autonomous Business Models 02:48 Reimagining Growth Strategies with AI 05:50 Building an Autonomous Business Framework 08:54 Leveraging AI Agents for Operational Efficiency 12:03 Creating a Self-Learning Support System 15:08 The Role of AI in Go-To-Market Strategies 17:58 Integrating AI Agents into Business Processes 21:01 Future of Autonomous Business and Closing Thoughts

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S -- Summary In this conversation, Ryan Staley and Mike Palmer discuss the future of AI and data, drawing parallels to past technological transformations. They explore the importance of understanding customer needs, the potential for AI to enhance productivity, and the evolving landscape of data applications. Palmer emphasizes the need for companies to adapt and innovate in order to thrive in the changing environment, while also highlighting the creative potential of humans in leveraging new technologies. Chapters 00:00 The Evolution of AI and Data 10:09 Future of Data and AI Applications

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S -- This is my 500th episode! In this episode, Ryan Staley discusses the challenges many organizations face with Microsoft Copilot and how to unlock its full potential. He shares insights from his experiences at a recent Gartner event and provides a step-by-step guide on how to leverage Copilot effectively. Staley emphasizes the importance of using advanced features and prompts to gain valuable insights and improve productivity. He also explores various use cases for Copilot, including developing business strategies and analyzing data, ultimately encouraging users to explore the tool's capabilities further. Strategic Implication: This is a step in the right direction to level the AI playing field for enterprise teams previously limited by tool restrictions. The Question Authority: If your organization restricts AI tool usage, have you audited what capabilities already exist within approved platforms? Share your experience—what AI capabilities do you see Copilot missing that still need to be unlocked? Chapters 00:00 Unlocking Microsoft Copilot's Potential 08:38 Advanced Use Cases for Copilot 09:04 Conclusion and Future Insights