In a recent TechBullion interview, I shared my perspective on a challenge I’ve seen throughout my career in enterprise software: getting a technology into an organization is only part of the work. Its value depends on how people use it and what improves as a result.
AI makes that challenge especially visible. A compelling demonstration can come together quickly. Turning it into a dependable part of someone’s day requires connected workflows, clear ownership, and sustained adoption.
My starting point is simple: AI should make everyday work easier and help the business perform better.
Start with the work
When evaluating an AI opportunity, I look at the process surrounding it. What is someone trying to accomplish? What information do they need? Which steps require their judgment? Where are they spending time coordinating tasks or moving information between systems?
In sales, the answers often span several activities: learning about a prospect, preparing outreach, recording context, and following up. Improving one activity can help, but connecting the process creates a stronger foundation for lasting value.
The goal is to give sellers more capacity for the work that benefits from their attention: understanding a customer’s situation, having a useful conversation, and building trust.
Make adoption part of the design
A successful pilot gives a team evidence to build on. Everyday use brings additional demands.
People need to understand the system’s purpose, know when to step in, and have a way to flag problems. Someone needs to own the process and act on that feedback. Leaders need a clear definition of success so they can assess whether the investment is producing the intended improvement.
These are practical requirements for making a system useful over time. They deserve attention from the beginning.
How this informs YouEx.ai
These principles guide my work as founder of YouEx.ai. We focus on bringing sales activities into connected workflows that give sellers more time with customers.
The question I keep returning to is whether we’ve made someone’s working day better, and whether that improvement is helping them achieve better results. That’s the standard I want AI products to meet.
