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.

Timestamps

00:00 Introduction to AI in Marketing

03:05 Julian's Journey in AI and Marketing

06:11 Build vs. Buy: The Future of AI Tools

09:12 Identifying Use Cases for AI in Organizations

11:57 Client Engagement and AI Implementation

14:47 Understanding Agentic Workflows

17:44 Navigating AI Pitfalls and Best Practices

20:54 The Future of AI and SaaS Solutions

23:45 Staying Current in the AI Landscape

26:54 Conclusion and Future Directions

39:03 New Chapter

Keywords: 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.