Leapfrog

Today, I’m joined by Oliver Lund Storgaard from Kvadrant Consulting.Over the past five years, Oliver has worked in data-driven sales with some of the world’s largest building materials companies. He’s seen the paradigm shift firsthand and the new opportunities it creates for sellers to become extraordinarily productive.But success isn’t just about data and analysis. It’s about enabling real change on the frontline and making sure sellers actually adopt new ways of working.In this episode, we dive into exactly that, with a focus on one of the cornerstones of sales: prospecting. Listen in if you want to hear how to both get the right data and ensure that sellers actually use it to inform real-life priorities and conversations.

Today I speak to Booy from Hecta. Booy has worked with AI and Strategy as a consultant in Accenture and is now building an AI-native software startup focused on helping companies find, screen and win public tenders. In the episode we dive into why Booy decided to focus on public tenders, the role of AI in the space, and what companies who are bidding on public tenders should consider if they want to deeply integrate AI in their bid mangement workflows. I hope you enjoy today's episode. Links:You can find Booy on LinkedIn or read more about what he is building on their website

In this conversation, Jonathan Parisi discusses the integration of AI in e-commerce, sharing insights on how to optimize workflows and identify use cases for automation. He reflects on his personal journey with AI, the challenges faced, and the importance of human oversight in AI applications. The discussion also covers practical implementations of AI, the need for continuous learning in the rapidly evolving tech landscape, and the future of AI in business.Chapters02:16 The Aha Moment: Discovering AI's Potential05:12 Building Efficient E-commerce Systems08:26 Identifying Use Cases for Optimization11:30 The Role of AI in Task Automation14:17 Evaluating AI's Effectiveness17:19 Practical Applications of AI in Business20:33 Staying Updated in the AI Landscape23:31 Challenges and Pitfalls of AI Implementation26:26 The Future of AI in Business

In this conversation, I speak with Julian Bent Singh to explore the practical implementation of AI in marketing organizations. Julian shares his journey from working as a marketeer specializing in SEO to building and running AI-first companies. We get into topics like build vs. buy and the pitfalls companies face when implementing AI. Connect with Julian on LinkedIn and learn more about his course here. Timestamps00:00 Introduction to AI in Marketing03:05 Julian's Journey in AI and Marketing06:11 Build vs. Buy: The Future of AI Tools09:12 Identifying Use Cases for AI in Organizations11:57 Client Engagement and AI Implementation14:47 Understanding Agentic Workflows17:44 Navigating AI Pitfalls and Best Practices20:54 The Future of AI and SaaS Solutions23:45 Staying Current in the AI Landscape26:54 Conclusion and Future Directions39:03 New ChapterKeywords: AI, marketing, machine learning, GTM, SEO, automation, agentic workflows, B2B, content creation, SaaS, digital transformation

Villads shares his story of building Alvas.ai — going from 0 to $200k in ARR with the first prototype built entirely with ChatGPT. We dig into the details of building an AI-native company for email personalization and tease out the general principles you can apply to your GTM organization to find use cases and prototype solutions. You can learn more about Villads by connecting with him on LinkedIn and learn more about Alvas on their website.Until next time — keep leaping forward.