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The AI Automation Graveyard (Why Most Projects Die After Launch)

If your automation hasn't been updated in 90 days, it's probably broken. Alane and Micah dive deep into why automation is actually software and what that means for your business. They reveal why most automation failures aren't due to poor building—they fail because people stop maintaining them. Learn why starting small beats building "maintenance monsters," how API changes and model updates break workflows faster than ever, and why the business case still makes sense even with ongoing maintenance costs. This episode will completely shift how you think about automation in your business.

 If your automation hasn't been updated in 90 days, it's probably broken. In this episode, Micah and Alane reveal why most automation and AI projects fail after launch, and it's not because they were built poorly.

Discover why automation requires ongoing maintenance just like software, how API changes and platform updates can break your workflows overnight, and why the "build it and forget it" mentality creates what we call a "maintenance monster."

In this episode, you'll learn:

• Why automation is software (and what that means for your business)
• How fast tech changes are breaking automations every 90 days
• The real cost of ignoring updates and maintenance
• Why small automation projects beat massive workflows every time
• How to avoid creating a maintenance monster in your business
• The business case for automation vs. manual processes
• Real examples of automation failures (like creating 150 proposals by accident) 

Whether you're using n8n, Make, Zapier, or building AI agents, this episode will change how you think about automation maintenance, updates, and long-term success.

Topics covered: automation maintenance, AI agents, workflow automation, API updates, software development, busi

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