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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.

Every quarter your team spends evaluating AI is a quarter your competitors spend shipping. Most leaders feel the pressure but get stuck between ignoring AI and getting it wrong. More tools and more demos won't fix it. What actually works is hands-on training for the people doing the work.

Our workshops align your leadership team on a shared AI roadmap. Our 4-week cohort get your teams building real AI agents, and automation workflows. And our ongoing groups keep leaders and builders sharp long after the cohort wraps.

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