In this episode of Just Curious, Stu Willson interviews Mollie Amkraut Mueller, Founder of Watch Me AI and former product leader at IDEO and EY. Mollie shares how non-technical business leaders can implement practical AI workflows in weeks—not months—and why most AI projects fail when companies overcomplicate them. From saving 40+ hours per week through automation to turning one meeting transcript into 10 revenue-generating assets, this conversation is packed with tactical AI use cases for SMBs.

If you’re feeling pressure to “do something with AI” but don’t know where to start, this episode gives you a clear, human-first roadmap.

Chapters:

00:00 – Intro
01:30 – Mollie’s Background: From CPA to AI Founder
04:00 – Why Non-Technical Leaders Feel Stuck with AI
06:00 – The 90-Minute AI Workflow Diagnostic Explained
08:30 – Case Study: Saving Hundreds of Thousands by Avoiding Dev Shops
10:45 – What “Human-First AI” Actually Means
12:15 – AI as Chief of Staff, Analyst & Content Engine
14:30 – The “1 Transcript → 10 Assets” Framework
18:40 – Turning Transcripts into Proposals & Websites
20:30 – Why Expensive Automations Often Fail
21:45 – PR Agency Case Study: 700 Conferences Automated
23:15 – 10 Minutes vs. Hours: Real Productivity Gains
25:00 – How Long AI Implementation Actually Takes
26:00 – Busting the “AI Is Too Technical” Myth
27:00 – The 95% AI Failure Myth (And Why It’s Wrong)
28:00 – ROI on Data: Should You Share More with AI?
29:15 – Who Should Work With Mollie?

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