The working portfolio.

I am interested in the machinery behind an organization: how demand enters, how information moves, how teams coordinate, how revenue is measured and where manual work accumulates. In healthcare that machinery is the revenue cycle, and it is where focused improvements create disproportionate gains.

The useful version of AI is rarely the demo. It is the layer underneath an ordinary workflow that classifies, summarizes, routes, predicts, checks or acts. Good automation feels less like a robot and more like a better-designed process. At OTLEN, agents carry the handoffs and people keep the judgment.

I like prototypes that can be clicked, tested and criticized. Architecture diagrams, data flows and working interfaces are useful because they expose assumptions early, while they are still cheap to change.