Using AI to Scale Marketing and Revenue Teams

In this episode of Using AI at Work, Chris Daigle sits down with Patrick Leung to discuss how AI is being used to scale marketing and revenue teams through improved execution, consistency, and operational efficiency. The conversation moves beyond hype to focus on practical applications of AI that support real go to market work inside modern organizations.

Patrick shares grounded examples of how teams are embedding AI into everyday workflows to support internal knowledge sharing, enhance decision making, and reduce friction across revenue functions. A key emphasis is on making AI accessible to non technical leaders by integrating it into existing processes rather than introducing complex or disruptive systems.

The discussion also explores how organizations can move from early experimentation to repeatable, AI powered practices that genuinely support growth. Patrick outlines where AI productivity tools are delivering the most value today and how leaders can avoid overengineering solutions that distract from execution. The episode ultimately positions AI as a pragmatic execution layer for marketing and revenue teams, enabling scale by reinforcing best practices and amplifying human judgment rather than replacing it.