Growth and headcount

“Every time we grow, we add another FTE.”

How do we do more without hiring more?

By clients, by volume, or by locations. Same result either way.

Find the workflow worth automating
FIG. 2  —  GROWTH AGAINST HEADCOUNT Y1Y2Y3Y4Y5 REVENUE PEOPLE The distance never changes. Every increment arrives with a hire attached. THE LINES NEVER SEPARATE Expand
3–4 hrs → 60 sec
Per review, once the coding engine was in the workflow
$22M+
Documented revenue impact for a single operator
50x
Faster review, running daily rather than in a notebook
McKesson
Intuit Mailchimp
Cox 2M
Scientific Games
Office Depot
NAPA
CommuniCare
Three ways you got here

You grew. Your margin did not.

A trained person reads a case, makes a call, types it in. Multiply that by the month and the only lever left is another hire.

Every new client arrives with a req attached

Sales closes on Friday. Recruiting hears about it on Monday.
Three months before a new hire is useful. Six before they are good.
The same case gets handled differently depending on who picked it up.
Someone leaves and you pay for the training twice.

You bought the licenses. The headcount did not move.

Everyone types faster. The same number of people still do the work.
It drafts the note. It does not decide what belongs in the note.
It handles the routine sixty percent, which was never the expensive part.
Nobody can point at a role that got smaller.

Nobody sells the thing you actually need

Your rules are yours. They are not in anyone’s product.
The exceptions are where the money is, and exceptions are what products handle worst.
Your most experienced people spend the day writing things down instead of deciding.
You have looked. It does not exist.
Why now and not next year

Wait a quarter, hire again

Most problems wait on a budget cycle. This one moves every payroll.

You cannot unhire

A project ends. A salary does not. Every req you approve this quarter you are still paying for in 2029.

It gets worse as you grow

Twenty people doing the same job produce twenty versions of it. Add training and coordination and each one costs more than the last.

The knowledge walks out

Nobody wrote down how the tricky cases get handled. When they leave, you pay to learn it again.

The real question is simple: can the call your best person makes be taught to a system? You can find that out in weeks, on your own records, before committing to a build.

Proof

One platform, paid for twice, then the pattern outside healthcare

Not licenses. We built the intelligence once, it compressed an hours-long clinical review to about a minute, and the same foundation later went at a second costly coding workflow. Then the same shape, in a different industry.

The ask
MDS auditors spending three to four hours per resident on the same review.
What we built
An AI coding engine reading six live clinical sources, with confidence scoring and evidence linking.
What changed
Review dropped to about sixty seconds, and volume went up without the team growing.
Where it ran
Daily across a national footprint for three years, then handed back.
60 sec
Per review, from 3–4 hours
$10M
PDPM revenue recovered
$2M
Quality incentives

Read the case study →

Why it held up
Six live sources. Not an export prepared for a demo.
Evidence linking. Every suggestion traceable, because a coder has to sign it.
Inside the workflow. In the existing process, not a separate tool nobody opens.
Why it stuck
Same spine, second problem. The platform paid for itself twice.
Accuracy that survives audit. 90%+ on the real record, not a sample.
No new headcount. The same team, reviewing far more.
CommuniCare again, the same platform
The ask
Diagnoses documented by clinicians were not reaching the claim.
What we built
A second engine closing the documentation-to-coding gap across the same six sources.
Where it ran
Two years, then delivered and handed back.
$10M+
RAF improvement
90%+
Coding accuracy
50x
Faster patient review

Read the case study →

SBIR grant automation
The ask
A federal grant process that consumed weeks of expert time per submission.
What we built
An agent swarm on n8n handling opportunity discovery, capability matching and drafting.
Where it ran
Defense and government contracting, well outside healthcare.
Weeks → hours
Per submission
1
Analyst, not a team

Read the case study →

Why it is here
Different industry. The pattern is not a healthcare pattern.
Same shape. Expert judgment, repeated, at volume.
Beyond healthcare. Same method, a federal grant process instead of a clinical one.
How we work

Put AI in the work, not on the desktop

A license makes one person faster. Building it into the process is what changes what the process costs.

Discover phase
Discover

Watch the work as it is really done, including the exceptions nobody wrote down.

Experiment phase
Experiment

Model the hardest call first. If the accuracy will not hold, you know in weeks.

Engineer phase
Engineer

Build it into the workflow, connected to the real systems, with the evidence trail people need to trust it.

Optimize phase
Optimize

Watch the accuracy in production. A model that drifts quietly is worse than no model.

The full method →

Three things get built here, and all three are yours. The integration, so the system reads your real records instead of an export. The transparency, so people can see what is happening now rather than in next month’s report. And the intelligence, the judgment your best people apply, written down and running. That last one compounds. Every month it runs it is worth more, and it becomes an asset you own rather than another subscription you rent.

What you do with the capacity it frees is your decision, not ours.

The code, the intellectual property and the roadmap are yours. That is in the contract, not the pitch.

What it looks like

Start with a conversation, then a small piece of work

You do not need a program. You need one workflow proven, and the arithmetic makes its own case after that.

1–3 weeks

Find the workflow

Which repeated decision costs the most, and whether it can be encoded at all.

4–6 weeks

Prove the accuracy

On your real records. If it will not hold, we stop here and say so.

3–6 months

Build it in

Into the existing process, with the evidence trail people need to trust it.

Ongoing

Run and monitor

Accuracy watched in production, improved as the rules change.

Tell us which job keeps costing you a hire

Thirty minutes. Walk us through the work and who does it, and we will tell you whether it can be encoded and what that takes.

An architect takes the call, not a salesperson.
We will tell you honestly whether we can help.
And roughly what it would take.
Swipe to see the whole drawing