Most AI projects fail because companies focus on the tech instead of the people using it. Scott Howard Swain combines 30 years of coding with deep empathy training to create AI workflows that feel natural, helping teams triple their output instead of adding more burden.
The story
Most AI implementations fail because companies focus on the tech instead of the people using it.
I’ve watched countless teams struggle with AI tools that nobody actually wants to use. The problem isn’t the technology – it’s that most AI integrators think like engineers, not like humans.
Then I met Scott Howard Swain.
Before: Teams see AI as another burden – something complicated they have to learn on top of everything else they’re already juggling. Projects get delayed. Adoption rates stay low. The fancy demos don’t translate to real results.
After: Those same teams experience what Scott calls “empathetic automation” – AI workflows that feel natural because they’re designed around how people actually think and communicate. His clients consistently see efficiency gains that triple their output.
Scott has been coding for 30 years, but here’s what makes him different: he’s also spent decades studying cognitive empathy and team dynamics. His background includes running over 650 empathy training sessions, so he knows how to help teams overcome the resistance that kills most AI projects.
Scott doesn’t just hand over technical solutions. He acts as a player-coach, mentoring development teams through the transition. He helps them understand not just how to use the tools, but why they work.
The difference is having someone who understands both the technical complexity and the human psychology behind successful adoption. Scott turns AI from a scary unknown into a natural extension of how teams already work.
That’s what happens when you get a player-coach who actually gets people.
