The Margin Is in the Practices. The Visibility Is Not.

Financial diligence tells you what a practice earned. It does not tell you what the practice should have earned, where the gap lives, or whether the margin you are underwriting is structural or luck. We built the operational layer that answers those questions, practice by practice and portfolio-wide: where the EBITDA expands, where the cash moves faster, and where the whole investment gains value.

01
The blind spot

Clean reports, unpriced operations

Every practice you evaluate produces clean-looking reports. Inside a portfolio, the reality runs worse: every practice reports a little differently, some can only hand you whatever standard reports somebody on staff knows how to run, and some cannot get the data out at all. You trust a few of those numbers, you discount the rest, and for some practices there are barely numbers to discount. The operational truth, what each practice should produce, where each one drifts, which sellers' numbers are hiding rework, attrition, and stalled cash, does not appear in a quality of earnings report. It lives in the operational data underneath, and almost nobody pulls it.

Some of it you would catch with enough time. Most of it you would never see at all, because it hides in operational data nobody pulls and in blended averages that smooth the problem away. And some of it you already suspect but cannot reach, because knowing something is wrong and having someone who can find it are two different capabilities. We shine a light into the parts of a practice no diligence checklist reaches, and we bring back what is actually there, with dollar amounts attached.

That gap is priced somewhere. Either you find it before you buy, or you inherit it after you close, or the next buyer's diligence team finds it at your exit.

02
Operational diligence

What sits between reported and achievable

The gap is rarely one problem. It is leakage and blockers stacked together, the specific places where cash and revenue stall on their way forward, and every one of them is invisible from the top. Working capital parked in a slow visit-to-cash cycle. Recurring revenue quietly walking out through patient attrition that the blended numbers average away. Claims reworked a dozen times, with the labor cost buried in payroll and the delay buried in AR aging. Collectible dollars sitting behind unsigned documentation that no report surfaces.

At the organization where this model was built, the visit-to-cash cycle ran 76 days. Rebuilt, it runs under 10, top-decile working capital efficiency for the vertical. The attrition analysis alone surfaced $5.69M in unrealized recurring revenue that the standard reports had normalized as seasonality. Margin at operational maturity reaches 16 to 20% EBITDA in a vertical where most operators accept single digits.

03
What gets priced in

One-time recovery gets discounted at exit. Structural margin improvement gets priced in.

The arithmetic is why this matters more than the findings themselves: at exit, a dollar of structural EBITDA is worth a multiple of itself, and the same dollar recovered once is worth a dollar.

Most margin erosion is behavioral. A skipped step at intake, a note nobody signs, a balance nobody collects while the patient is in the building, repeated across thousands of visits until it reads as the cost structure. We find those behaviors, change them, and build the operation so they cannot quietly return.

That is the difference between a cleanup and an operating system, and what we deploy is the second: the manual work is removed or automated, the human steps are pre-decided instead of improvised, and every practice reports the same metrics the same way, with drift flagged the day it starts.

It is the same discipline your operating team installs in every other vertical, manufacturing, logistics, software, applied to healthcare practices, which have never had it. That is the thesis you already run, pointed at the last vertical without it.

04
Where it fits

Three moments this pays for itself

Pre-close diligence

Run it on the target. Seven days against the practice's own data, and what comes back either changes the price or confirms it.

First hundred days

Run it on the new acquisition. The value creation plan arrives with dollar amounts and owners attached instead of workshop output.

Portfolio operations

Deploy it as the operating layer: same benchmarks at every practice, aggregate visibility, variance surfaced continuously instead of at the quarterly review.

05
The operating record

Built by operators, proven in a live organization

We are operators, and the proof is an operating record rather than a client roster. This model was built and validated running a behavioral health organization of more than 200 providers across 43 states: the sub-10-day cash cycle, the margin structure, the portfolio-grade reporting with row-level security, all of it produced in a live organization, including staying cash-positive through the February 2024 Change Healthcare outage while much of the industry froze.

And the relationship is built for how you work. Vendors send reports up from the ground. An ally sits inside the practices and thinks in your units, EBITDA, working capital, hold period, exit value, and reports in the language your investment committee reads. That is the seat we take.

This matters most for the practices you already own. Many of them run AdvancedMD today, which means the data access and the hooks are already in place, and in most portfolios nobody on the ground knows a fraction of what the system can do. In some practices, nobody can get a report out of it at all, while the data sits in there the whole time, complete, recorded, waiting for someone who knows how to reach it. We come in as the guide who does: we read what is already sitting in those systems, show you what it means, and tell you what to do with it. On AdvancedMD the stack deploys in days per practice, because the door is already built.

See the model

Run it on one practice.

Pick the practice you are least sure about. Seven days against its own data. If we find less than $25K, you pay nothing. You will see the model before you commit to anything beyond it, and what we find is yours either way.

Scope one practice

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