
AI Projects vs Custom GPTs: How Leaders Should Organize AI for Their Teams
Many companies are experimenting with AI tools.
But a bigger leadership question is starting to emerge: How should teams organize AI so it actually improves productivity?
After presenting at the Verticon conference, Donna Peterson had several leaders ask the same practical question: Should we build AI Projects… or custom GPTs?
The answer depends on how your team works.
In this episode of the B2B Marketing Excellence and AI Podcast, Donna walks through real scenarios discussed with business leaders and explains when each structure works best.
If your team is beginning to integrate AI into daily operations, this conversation will help you avoid common mistakes and build a system that actually supports your workflow.
What You’ll Learn:
- The key difference between AI Projects and GPTs
- Why leaders often put AI work in the wrong place
- How projects help organize ongoing internal work
- When GPTs are better for repeatable questions or tasks
- A simple framework leaders can use before building AI tools
- Why your internal documentation matters more than the AI itself
Three Leadership Questions to Ask Before Building AI. Before creating new AI tools, Donna suggests leaders pause and ask:
- What work is slowing my team down right now?
- Is this ongoing work or a repeatable task?
- Do we already have the internal knowledge to support it?
These answers will help determine whether your team should create a Project or a custom GPT.
Key Takeaway-
AI tools are most effective when they support clear leadership thinking and organized workflows.
The technology itself isn’t the strategy, how you structure it inside your organization is what makes the difference.
▶ Watch the full episode here:
https://youtube.com/playlist?list=PLHaiJYXhZ8PD-8NolyFNPeGx7XAK4ZeJt&si=8laNeam0UzCkxamV
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