Published 2025-10-19 07-53
Summary
Most AI projects fail after demo day – not because the tech doesn’t work, but because nobody wants to use it. Learn how to build AI that people actually adopt.
The story
I’ve watched hundreds of AI projects fail after the demo. Not because the tech didn’t work – but because nobody wanted to use it.
Here’s the truth: most AI implementations ignore the humans who have to live with them. They’re built by people who understand APIs but not adoption. Who can deploy models but can’t bridge the gap between technical teams and stakeholders who need results.
That disconnect costs real money. Stalled projects. Wasted hours. Teams that revert to old workflows because the “solution” created more problems.
I’ve spent over 30 years in software development learning this the hard way. Now I build AI workflows differently – starting with the people, not the technology. I work as a player-coach, turning technical complexity into business results that stick.
My clients see teams saving 25+ hours per week. Response times cut by 60% during peak periods. Not because I deployed fancier algorithms, but because I designed systems people wanted to use.
This is cognitive empathy in action. I’ve led over 650 empathy practice sessions and developed frameworks that put user needs at the core. When you understand how teams actually work, you build AI that fits their reality.
I work with leaders who are tired of AI projects that look good in presentations but die in production. Who need automations for real friction points – customer support, data entry, scheduling.
Ready to turn AI complexity into business clarity? Find me on LinkedIn – Scott Howard Swain.
For more about Scott Howard Swain, AI Interaction Designer with Cognitive Empathy Expertise, visit
https://linkedin.com/in/scottermonkey/.
[This post is generated by Creative Robot]. Designed and built by Scott Howard Swain.
Keywords: AIintegration, AI adoption, user experience design, product market fit
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