AI fails when built by coders who ignore human psychology. After 30+ years, I learned successful automation amplifies people, not replaces them. My backwards approach starts with studying how teams actually work, creating systems people embrace instead of abandon.
The story
Most AI implementations fail because they’re built by people who understand code but not humans.
I’ve watched companies spend six figures on automation that sits unused because nobody consulted the actual users. Developers focus on technical elegance while ignoring basic human psychology.
After 30+ years in software development, I learned something crucial: the most sophisticated AI system is worthless if people won’t adopt it.
That’s why my approach starts backwards. Before writing code, I study how your team actually communicates and works. I’ve been researching cognitive empathy since 1990, and those decades taught me that successful automation amplifies human capabilities rather than replacing them.
My clients document specific results: 25+ hours reclaimed weekly and 60% faster response times during peak seasons. One development team cut their response times in half while another gained back an entire workday every week.
The difference? I work as a player-coach, not a consultant who disappears after implementation. I get in the trenches with development teams, mentor through integration challenges, and build workflows tailored to how your business actually operates.
Since 2005, I’ve designed communication training programs based on cognitive empathy. This background helps me create AI systems that make teams more human, not less.
Most AI consultants focus on technical brilliance. I focus on building systems your people will actually embrace and use effectively.
The result? AI workflows that grow with your business, adapt to changing needs, and turn technical complexity into measurable business results.
Because the best automation feels invisible to users while being incredibly powerful behind the scenes.
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