AI Adoption

AI Workflows

I love solving problems, naturally, and I carry that into every AI engagement

I love solving problems, naturally, and I carry that into every AI engagement

Rebuilding my website instead of being in client sessions for two weeks is not the most glamorous phase of running a consulting business but it forced me to articulate something I usually just do.

The headline on my website is: "First I understand your work. Then I bring in AI."

Writing it made me look at how others in this space position themselves. The pattern is consistent: lead with the tool, the workshop package, the promise to automate everything, to have agents running your business. The problem you're actually dealing with comes later… if it comes at all.

My approach comes from before AI was part of anyone's job. I spent years coordinating digital projects: campaigns, websites, landing pages, and watched the same thing happen over and over: everyone was focused on delivering, but the problem was never clearly defined. So we rebuilt everything halfway through. Thousands lost, teams frustrated, deadlines gone. The question from management was always the same: what happened? NOBODY UNDERSTOOD THE PROBLEM.

I love solving problems, naturally, and I carry that into every AI engagement. When a company deploys a tool without first understanding how their team actually works, employees end up using it like a basic chat, repeating the same requests. Something that was supposed to save time quietly makes things worse.

The first thing I do in a discovery call is understand the workflow. That's what tells me if training makes sense, if AI is actually the right solution (because it isn't always!) or if what the team really needs is to be heard and have sessions built around their specific work, not a generic Copilot session.

The site is live at https://www.juvaii.com/ if you want to take a look 😉 and if this sounds familiar, you can reach me directly from there or here, happy to listen and find a solution together.