Hi, I’m Tim.

I know where healthcare-tech and services revenue systems break because I’ve built inside them.

I have sold complex B2B software and services since I was 20 years old. Healthcare and staffing vertical software. Enterprise infrastructure software. Healthcare revenue cycle services.

I have carried a bag, sold into executives, worked through the dot-com wreckage and the 2008 financial crisis, and co-founded, scaled, and exited a national healthcare RCM company.

The work comes from operating where mistakes cost money, trust, and time.

I did not come out of consulting. I came out of complex B2B sales and operating environments where the work was not theoretical. Deals had politics. Buyers had risk. Teams had gaps. Forecasts had fiction. And the number still had to be carried.

That changes how you see revenue problems. Most of them do not start as activity problems. They start as judgment problems: weak discovery, soft qualification, inflated pipeline confidence, founder dependency, and teams that mistake movement for progress.

By the time the number misses, the truth was usually visible earlier. The team just did not have a system that forced it to the surface.

Three operating cycles shaped how I see the work.

• 1

  Healthcare and staffing vertical software

  Where I learned how real buyers behave when problems are expensive, political, and operationally messy.

• 2

  Enterprise infrastructure software

  Where I learned how complex buying committees, internal politics, and executive risk shape deals.

• 3

  Healthcare RCM services

  Where I learned what breaks when revenue, delivery, trust, and execution all collide.

What I look for now.

I look for the places where the revenue system is lying. Deals that look active but lack verified pain. Forecasts built to calm leadership instead of represent reality. Discovery debt that does not show up until pricing, security, procurement, or no-decision risk appears late.

I also look for founder dependency. If deals stall when the founder leaves the room, the company does not have team execution yet. It has founder gravity.

AI adds another layer. It can organize notes, automate motion, and make the system look cleaner. It can also hide weak judgment underneath polished output.