Marketing teams don’t need more AI tools. They need better habits around the ones they already have. 

Experimentation got marketing teams started, but it won’t take them very far on its own. The payoff starts when teams stop treating AI like a side experiment and start using it in ways they can repeat and build on. 

In this episode, Drew Neisser talks with Nicole Leffer, one of the most practical voices in B2B AI adoption, about what it takes to make AI use more consistent and scalable. After working with more than 100 companies, Nicole has a clear view of what separates teams that stay stuck in trial mode from teams that build a repeatable advantage. 

Three AI Mistakes Marketers Make: 

1. Relying on back-and-forth prompting instead of building reusable workflows 

1. Underestimating what their core AI tool can already do 

1. Falling for hype cycles and constantly switching platforms 

In This Episode: 

• How to build workflows that save real time 

• The hidden cost of tool sprawl 

• Where AI security risks are showing up now 

• How to build AI capability across the team 

If you’re a B2B CMO working to build stronger AI habits across your team, this episode will give you plenty to work with!