70 to 85 percent of AI projects fail to meet expectations. And after spending the last year pressure testing AI inside my own business, I think I know why: people automate before they know what good looks like.
In this episode of the Right on Time podcast, I'm pulling back the curtain on the AI Clone Team I've been building in real time. These are named AI specialists, each with a specific role in my business: Callie handles content strategy, Marlo runs financial analysis, Ania organizes the newsletter, Polly manages podcast production, Susie supports social media, etc. Sixteen AI team members in total, each trained on my voice, my brand, my frameworks, and my way of thinking.
I'm sharing the content pipeline workflow that turns voice memos from a random walk into organized, usable ideas. I'm walking you through the Reality Check leadership folder that catches patterns I would never spot on my own. And I'm being honest about what I'm keeping manual on purpose, because automating too early is how you scale something that isn't you.
Whether you're watching the AI wave from the sidelines or you're already experimenting, this episode is a real time, behind the scenes look at how AI works inside a real business with real clients and a real team.
You are right on time.
In this episode, you'll hear about:
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The 16 AI Clone Team members we use (and who does what)
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How a content pipeline turns random voice memos into organized, categorized ideas your whole team can access
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The Reality Check folder that helps me spot leadership patterns I'd otherwise miss
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Why 70 to 85% of AI projects fail, and the mistake behind it
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What I'm keeping manual on purpose (and why it makes the work better)
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Three specific places in your business where AI can give you leverage right now
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Why I hired a human AI consultant AND a social media manager even while building an AI team
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What "garbage in, garbage out" means for training AI on your voice
Links mentioned in this episode: