Why Many Teams Still Don’t Use AI Agents

Over the past year, Humbleteam, a UX/UI and product design agency working with sports teams, fintech companies, and digital platforms, has started implementing AI workflows for several large clients.

And we noticed an interesting pattern.

In companies with 100+ employees, automation is already everywhere. Designers and product teams quietly use tools like ChatGPT, Claude, and Google AI Studio to speed up parts of their workflow.

But there is often a silent rule: nobody talks about it.

People use AI tools to complete work faster, but they rarely share how much time it actually saves. From the outside, everything still looks like a traditional eight-hour process.

This becomes visible when Humbleteam helps organizations officially introduce AI design workflows — such as Figma-to-code pipelines, automation agents, or AI-assisted prototyping tools used in modern product design.

Unexpectedly, the resistance is not about technology.

Teams usually understand the tools quickly. The hesitation comes from something else: once automation becomes official, efficiency becomes visible. And that changes expectations about how teams work.

For sports organizations building digital products — from fan engagement platforms to sports apps — AI workflows can dramatically accelerate product development and UX/UI design.

At Humbleteam, we increasingly integrate AI tools into our product design process to help sports teams move faster, test ideas earlier, and launch digital experiences more efficiently.

In many cases, the real challenge isn’t adopting AI.

It’s making the new level of productivity visible.