Published 2025-10-19 13-13

Summary

Companies waste six figures on AI tools that sit unused because they focused on what the tech can do instead of what humans actually need. The real efficiency gains come from mapping your team’s workflow first, then building AI around that.

The story

I’ve watched the AI automation gold rush claim a lot of casualties.

Companies drop six figures on shiny AI tools, then struggle with adoption. The tech works fine. The problem? Nobody asked the humans using it what they actually needed.

Here’s the pattern I see after 30 years in software development: businesses chase capability instead of clarity. They want AI that can do everything, when what they really need is AI that solves the three friction points killing productivity every single day.

I build workflows differently. Before writing a single line of code, I map how your team actually communicates. Where do requests get lost? Which handoffs create bottlenecks? What tasks make people want to throw their laptop out a window?

That’s where the efficiency multiplier lives – not in the sophistication of the model, but in understanding the human workflow first.

When I design automation for a business, I’m translating between two languages: what AI can do, and what your team will actually use. That gap is where most implementations die. Bridge it right, and you reclaim 25+ hours weekly. Get it wrong, and you’ve just added another tool nobody opens.

The trend isn’t more AI. It’s smarter integration.

I’ve led hundreds of development teams. That background shapes every workflow I build – systems that feel intuitive because they’re designed around how humans think, not how machines operate.

If your AI investment isn’t delivering results, the issue probably isn’t the technology. It’s the translation layer between capability and adoption.

That’s the work I do. Player-coach. T

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, workflow mapping, AI implementation strategy, human-centered technology