About

I'm Bill Eisenhauer.

An engineer who makes AI work for cash-pay practices.

Not a consultant who learned AI from a weekend course. Not a developer who's never seen the inside of a P&L. I've spent 40 years building production software — from enterprise systems to Ernst & Young to Silicon Valley startups — and now I'm focused entirely on revenue recovery for cash-pay practices. Testing every tool, building real systems, and figuring out what actually works versus what just demos well.

The short version

From enterprise systems to your operations.

1986–1994

Enterprise Engineer

Started building systems that processed real transactions for real businesses — the kind where getting it wrong costs money. Mainframes, enterprise software, the systems that banks and airlines depended on.

1994–1998

Ernst & Young Consultant

Four years inside one of the Big Four consulting firms. Learned how businesses actually work — not just the technology, but the operations, the money flows, and the places where value gets lost between departments.

2009–2022

Startup Builder

Employee #1 at a GPS tracking startup. Then an early engineer at a Silicon Valley company that grew from a small team to a $2 billion public company. Learned what scales and what breaks — and that the difference is almost always in the operations, not the technology.

2025–Present

Revenue Recovery for Cash-Pay Practices

Took everything I know about building production systems and diagnosing operational problems, and pointed it at cash-pay practices — where GLP-1 drop-off, missed cross-sell, and follow-up gaps leave six figures on the table every year. Not in theory. In dollars.

The philosophy

More from fewer and less.

The fastest path to more revenue isn't more customers — it's capturing the value your practice already generates but doesn't see.

Every practice has money leaving through gaps nobody measures. Follow-up that doesn't happen. Pricing that hasn't kept pace with your expertise. Customers who buy once and disappear. Subscriptions nobody uses. Processes that consume hours of human time on work a system should handle. These gaps compound quietly. Individually, each feels small. Collectively, they're often six figures.

This isn't a new idea. The principle of financial efficiency — getting maximum value from every dollar entering and exiting a business — has been the foundation of sustainable wealth creation for decades. The smartest operators have always known: plug the leaks before you turn up the faucet. Fix the math before you chase the growth.

What's new is the mechanism. AI doesn't create this value. It reveals it — and then captures it, continuously, in ways that manual operations can't sustain. An AI system that monitors your follow-up gaps, flags at-risk customers, catches subscription waste, and optimizes your pricing isn't doing something magical. It's doing what a diligent owner would do if they had unlimited time and perfect memory. It's making every dollar smarter.

That's the alchemy: turning the hidden inefficiencies already inside your practice into recovered revenue, reclaimed time, and compounding advantage. Not by working harder. Not by hiring more. By making what you already have produce more with fewer and less.

Who this is for

Cash-pay practices — med spas, aesthetics clinics, weight-loss practices, hormone therapy, longevity — where GLP-1 drop-off, missed cross-sell, and follow-up gaps leave six figures on the table every year.
A practice owner who suspects patients are walking out the door but doesn't have time to figure out exactly where — because they're too busy treating patients.
Someone who wants dollars and specifics, not jargon and slide decks — and who'd rather see what the diagnostic finds before committing to anything.

If that sounds like you, the diagnostic takes 90 seconds.

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How I work

Four things that won't change.

🔬

Engineer first, consultant second

I don't advise from a whiteboard. I build the systems myself. Every recommendation I make, I can implement. That's not common in consulting — but it should be.

💬

Dollars, not jargon

I'll never tell you to "leverage synergies" or "optimize your AI stack." I'll tell you there's $840/month in subscriptions nobody's using and 22 hours/week your team is spending on work a machine should do.

🤝

Fiduciary, not salesman

If AI isn't the right answer for your situation, I'll say so and save you the money. I'd rather lose a sale than lose your trust. That's not altruism — it's strategy. Honest advisors get referrals.

🔧

Monday morning practical

I don't build demos. I build things that work when your team walks in Monday morning. Production-grade systems with documentation, training, and support.

40+
Years Building Software
EY
Ernst & Young Alumnus
$2B
Startup Growth (Early Engineer)
15+
Years Technical Leadership

Ready to find what your practice is leaving on the table?

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