Most dev teams waste 40% of their time on manual tasks. Scott Howard Swain teaches teams to build AI workflows while implementing them, not just dropping solutions
The story
Most development teams waste 40% of their time on manual tasks that could be automated. But here’s the catch: implementing AI workflows often creates more problems than it solves because teams don’t understand the systems being built for them.
Scott Howard Swain takes a different approach. Instead of swooping in as an external consultant who builds something and disappears, he works as a player-coach – teaching your team while implementing solutions. This means your developers actually learn to maintain and extend the AI systems themselves.
The difference is dramatic. With 30 years of tech expertise and three decades studying cognitive empathy, he designs workflows that align with how humans actually work instead of forcing people to adapt to machine logic.
That cognitive empathy piece matters more than you’d think. Scott’s been facilitating communication training since 2005 and training an AI chatbot since 2018. He understands both sides – what machines can do and how people naturally problem-solve. The result? AI implementations your team embraces rather than resists.
The player-coach model creates sustainable efficiency gains. Knowledge transfer happens during implementation, not afterward. Your team becomes proficient with systems that feel intuitive, and those productivity gains compound over time.
If you’re tired of AI projects that create dependency or implementations that sit unused because they’re too intimidating, Scott’s approach might be exactly what your development team needs.
