Most AI fails because tech teams miss the human element. Scott combines 30 years of coding with empathy expertise, creating AI that actually understands people instead of just matching keywords.
The story
Most AI implementations fail because they’re built by technical teams who understand code but miss the human element completely.
Scott Howard Swain represents something different – a rare combination of 30 years in software development with deep expertise in cognitive empathy and human interaction patterns.
Here’s what makes his approach revolutionary:
He built EmpathyBot.net in 2018 – an AI chatbot he’s been training for years that handles conversations with actual human understanding, not just keyword matching.
His automation work triples team efficiency because he doesn’t just automate tasks – he redesigns entire workflows based on how people actually work, not how systems think they should work.
He operates as a player-coach with development teams, meaning he’s not some consultant throwing advice from the sidelines. He’s in the trenches, turning technical complexity into measurable business results.
His background in conflict resolution since 1990 gives him unique insight into why most AI customer service feels robotic and frustrating. He designs systems that actually help people instead of creating new problems.
The difference shows in the results. While other teams struggle with AI adoption and user resistance, Scott’s implementations get embraced by teams and customers alike.
He’s run over 650 empathy practice meetings with 2,100+ members, constantly studying how humans really communicate. That research directly informs how he builds AI systems that feel natural instead of mechanical.
Most AI integrators focus on what’s technically possible. Scott focuses on what’s actually useful for real humans doing real work.
That’s why his clients don’t just get working AI – they get AI that makes their teams more effective while keeping the human connection intact.
