The Biggest Goal Podcast

Find out what AI and Agents can’t fix | EP 73

• Alane Boyd & Micah Johnson • Season 1 • Episode 73

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0:00 | 15:13

In this episode, Alane and Micah tackle one of the biggest misconceptions about AI agents — the idea that they can magically fix broken workflows. They unpack why automation only works when the underlying process is solid, clear, and well-defined.

They share real stories from their own experience, including how strategy and design make up 80% of the work in building automated systems, and why slowing down to document and standardize your processes can actually make you move faster later.

You’ll hear:

  • Why AI agents can’t save a poorly structured workflow
  • How to identify when you’re ready to automate (and when you’re not)
  • Why the design phase is the most valuable part of any automation project
  • How to document, diagram, and break large systems into smaller, achievable workflows
  • The importance of starting small and improving over time

If you’ve ever been tempted to “throw AI at a problem,” this episode will show you how to rethink automation so it actually works — and how to build a process your agents, and your team, can rely on.

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This episode is brought to you by Biggest Goal, the company Alane Boyd and Micah Johnson co-founded.


Fifteen years of scaling their own companies taught them that adoption is a people problem long before it's a technology problem, so we train executives and their teams through workshops, cohorts, mastermind groups, and hands-on support.


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