AI at Work
83: Using AI to Scale Marketing and Revenue Teams with Patrick Leung
AI Summary
In this episode, Chris Daigle and AI strategist Patrick Leung discuss how modern marketing and revenue teams can embed AI to boost efficiency, consistency, and scale without overwhelming non‑technical leaders. They walk through concrete use cases—such as AI‑driven go‑to‑market execution, internal knowledge sharing, and decision‑making tools—while emphasizing the importance of avoiding tool overload and over‑engineering. Leung outlines a roadmap for moving from isolated experiments to repeatable, AI‑powered workflows that deliver measurable growth, and offers practical advice for leaders looking to adopt AI responsibly.
Episode Description
Chris Daigle sits down with Patrick Leung to explore how AI is being applied inside modern marketing and revenue teams to drive efficiency, consistency, and scale. Patrick shares real examples of how teams are using AI in the workplace to support go to market execution, internal knowledge sharing, and decision making without overwhelming non technical leaders.
The conversation covers practical AI adoption for business leaders, how to avoid overcomplicating workflows, and where AI productivity tools deliver the most value today. Patrick also breaks down how organizations can move from experimentation to repeatable AI powered processes that actually support growth. This episode is a grounded look at workplace AI adoption for teams focused on execution, not hype.
🔎 Find Out More About Patrick Leung
https://www.linkedin.com/in/puiwah/
🛠 AI Tools and Resources Mentioned
ChatGPT ➡ https://openai.com/chatgpt
Internal AI assistants used by marketing and revenue teams
📌 Chapters
00:00 - Introduction to Patrick Leung
04:12 - Where AI Fits Inside Marketing and Revenue Teams
10:36 - Practical AI Use Cases for Execution
17:48 - Supporting Non Technical Teams with AI
24:15 - Avoiding Tool Overload and Overengineering
31:02 - Using AI to Improve Consistency and Speed
38:20 - Moving from Experiments to Scaled Workflows
45:10 - Final Advice for Leaders Adopting AI
48:55 - How to Connect with Patrick Leung
Show Notes
Chris Daigle sits down with Patrick Leung to explore how AI is being applied inside modern marketing and revenue teams to drive efficiency, consistency, and scale. Patrick shares real examples of how teams are using AI in the workplace to support go to market execution, internal knowledge sharing, and decision making without overwhelming non technical leaders.
The conversation covers practical AI adoption for business leaders, how to avoid overcomplicating workflows, and where AI productivity tools deliver the most value today. Patrick also breaks down how organizations can move from experimentation to repeatable AI powered processes that actually support growth. This episode is a grounded look at workplace AI adoption for teams focused on execution, not hype.
🔎 Find Out More About Patrick Leung
https://www.linkedin.com/in/puiwah/
🛠 AI Tools and Resources Mentioned
ChatGPT ➡ https://openai.com/chatgpt
Internal AI assistants used by marketing and revenue teams
📌 Chapters
00:00 - Introduction to Patrick Leung
04:12 - Where AI Fits Inside Marketing and Revenue Teams
10:36 - Practical AI Use Cases for Execution
17:48 - Supporting Non Technical Teams with AI
24:15 - Avoiding Tool Overload and Overengineering
31:02 - Using AI to Improve Consistency and Speed
38:20 - Moving from Experiments to Scaled Workflows
45:10 - Final Advice for Leaders Adopting AI
48:55 - How to Connect with Patrick Leung
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