AI Adoption without the overhaul.

Who is behind it

Omar Passons leads Passons AI. Before this he served as Deputy City Manager at the City of San Jose and as a Director in the County of San Diego Health and Human Services Agency. He has led and worked with the teams of people we build for, including the part where the work outran the hours. Passons AI grew out of that experience. Passons AI is a project that grew from Passons Consulting, a firm founded by Erin Passons that has been doing leadership and organizational work for over fifteen years. Omar holds a Juris Doctor from George Mason University School of Law and a Master's in Public Health from the University of Arizona College of Public Health.

The philosophy

The pitch most organizations get to adopt AI is the wrong one. It assumes you have time, budget, and bandwidth for a transformation. Most companies and organizations don't have that time. There is a better way.

The better way starts with being honest about where you actually are. Some organizations need to decide their direction first, because the real blocker is that nobody has said out loud what AI is for here. Some need their teams to build genuine skill. Some need one repetitive task handled, and the fastest way to learn anything is to build that one thing and measure the time it gives back.

What those routes have in common is a scope you can see the edges of. No system overhaul, no platform changes, no hours of consultant "discovery meetings" you don't have time for. The risk stays small because the scope stays small, and because you co-design it quickly and measurably.

We meet organizations at three scopes: setting direction for the whole organization, building skill and practice inside a team, and building one workflow for one task. All three are laid out on the home page. The smallest of them has a page of its own, the Workflow Pilot.

A note from Omar

I spent years leading teams where the work outran the hours available almost every week. The teams were constantly exhausted and felt the pressure to do more, usually with less. I realized that the right technology could enhance workers rather than replace them and give them more balance and productivity at the same time. That realization led to Passons AI.

These three examples make the case concrete. They are cases for which we have personally seen the payoff happen quickly.