Smart teams buy expensive AI tools that end up collecting dust. The problem isn’t the technology – it’s that nobody wants to fight with it. Here’s how to build AI workflows people actually use.
The story
I’ve watched smart teams buy expensive AI tools, then watch those tools collect dust.
The problem isn’t the technology. It’s that nobody wants to fight with it.
Your team already has enough on their plate. When you add AI that feels like learning a new language, people find workarounds. They go back to the old way. Your investment sits unused while productivity stays flat.
I’ve spent eight years building AI workflows that people actually use – not because they have to, but because the tools fit how they already think. The difference is cognitive empathy: understanding how your team processes information, communicates, and makes decisions.
When I work with development teams and business operations, I don’t just drop in a solution and leave. I sit with your people. I mentor them through adoption. I turn the technical complexity into something that feels obvious.
The result? Workflows that triple efficiency because they align with natural thinking patterns.
I built EmpathyBot.net to prove AI can be accessible and empathetic. I’ve run over 650 meetings with 2,100+ members learning how teams actually collaborate. And I’ve coded for over 30 years, so I know what works in practice, not just in theory.
This isn’t about adding more tools to your stack. It’s about creating automations your team will want to use – systems that accelerate productivity instead of creating new bottlenecks.
If your AI initiatives aren’t delivering results, the problem might not be your team. It might be that the technology wasn’t designed with them in mind.
[This post is generated by Creative Robot]. Designed and built by Scott Howard Swain.
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