The $180K AI Automation That Nearly Killed My Agency (And What I Learned)

That $180,000 AI project was supposed to revolutionize everything. Instead, it nearly tanked Nico Hartwell's agency and taught him some brutal lessons about what actually works in AI automation. Most agencies sell AI dreams. Nico's sharing the spreadsheets. After building machine learning models for healthcare startups and running his own consultancy, he's seen the full spectrum: complete disasters that burn cash and the rare wins that actually move numbers. This episode breaks down three massive failures and the pattern behind the projects that actually deliver ROI. The reality? 70% of AI automation projects fail within the first six months. But the ones that work can cut operational costs by 40% and boost team productivity by 200%. The difference comes down to three specific factors most consultants ignore. In This Episode: > Why his most expensive automation project failed spectacularly (and the red flags he missed) > The simple email automation that saves clients $15K monthly with 90% success rate > Why customer service chatbots have a 60% abandonment rate and what works instead > The exact framework he uses to predict which AI projects will actually pay for themselves Timestamps: 00:00 The $180K disaster that changed everything 02:15 Three automation failures and what went wrong 05:30 Why simple beats complex every time 08:45 The framework that predicts success 11:20 Next steps for your AI strategy If you're tired of AI promises and want the real numbers behind what works, hit follow. Nico drops new episodes on The Value Engine multiple times weekly, and next week he's breaking down the warehouse automation that cut labor costs by $2 million. More episodes available at The Value Engine ------- Keywords: ai automation, ai implementation, business ai, automation podcast, make.com, machine learning business Learn more about your ad choices. Visit megaphone.fm/adchoices