AI COO capability

Revenue Gap Planner

Tell the AI COO how far short of target you are. The Revenue Gap Planner reads your open capacity, treatment margins, dormant patients and expiring stock, then returns a ranked plan with dollar impact and one-click approval.

The prompt

“We are $42,000 short of our monthly target. What should we do?”

Fourteen days left, 96 unbooked provider hours, 412 patients dormant past 90 days, two filler lots expiring in five weeks. The planner returns a ranked set of plays whose projected contributions add up against that gap — and tells you plainly if they do not.

How it works

1 · State the gap

Type the shortfall — "we're $42,000 short of our monthly target" — or let the agent flag it during its hourly scan of bookings versus target.

2 · It sizes the plays

It pulls unbooked provider hours, service margins, dormant patient segments, average ticket and historical response rates, then ranks the actions that can realistically add up to the number.

3 · You approve, it executes

Every line shows its math and the exact outgoing message. Approve all or line by line; execution is tracked back to booked revenue.

What it reads before it recommends anything

Open capacity

Unbooked provider hours remaining in the period, by provider and treatment room — the ceiling on any plan.

Treatment margins

What each service contributes after product cost, so it fills chairs with profitable work rather than cheap volume.

Patient dormancy

Who lapsed 30, 60, 90+ days, what they last purchased, and the offer their segment historically converts on.

Expiring inventory

Lots approaching expiry that should be sold into demand instead of written off at full cost.

No-show risk

So projected revenue is discounted for the appointments statistically unlikely to show.

Consent status

Only patients with messaging consent on file enter an audience; opt-out language is appended automatically.

Why owners use it

Answers in minutes, not a weekend

Replaces the report pulling, exporting and spreadsheet cross-referencing a manager does to answer a single question about a soft month.

Honest, capacity-checked numbers

A plan can't project more revenue than your remaining provider hours can physically deliver, so you don't approve fantasy.

Protects margin, not just volume

It prefers high-contribution treatments and expiring stock over blanket discounting that trains patients to wait for a sale.

Recovers revenue you already earned

Dormant patients and waitlist demand are the cheapest revenue in the practice — the planner works those lists first.

Owner stays in control

Nothing sends without approval, consent on file and an audit-log entry. Autonomy level is set per practice.

Gets smarter each month

Projections are scored against booked revenue after the fact, so next month's plan is calibrated on your actual conversion rates.

Frequently asked questions

What is the Revenue Gap Planner?

It is the AI COO feature inside MedAestheticsOS that takes a revenue shortfall you state in plain language and returns a ranked, capacity-checked plan of actions — each with its projected dollar contribution, the assumptions behind it, and the exact patient message that would go out on approval.

How does it decide what to recommend?

It reads your own practice data: unbooked provider hours left in the period, treatment margins from your menu, dormant patient counts by segment and lifetime value, expiring inventory lots, no-show risk and historical campaign response rates. Each candidate play is sized against the audience and capacity that actually exist.

Does it send messages to patients automatically?

Only at the autonomy level you choose. By default every action waits for approval, and every outbound message requires messaging consent on file and carries opt-out language regardless of the setting.

What if the plan does not fully close the gap?

It says so explicitly and shows how much of the gap the plan covers, plus what would need to change — added capacity, a price adjustment, or a longer window — to close the rest. It will not inflate projections to reach the number.

Does it work for a new clinic with little history?

Partially. With thin booking history it flags that projections are low-confidence and leans on capacity and menu pricing instead of response-rate history. Accuracy improves quickly once a few weeks of completed appointments exist.

Who can use it?

Owners and managers on an active MedAestheticsOS subscription. It lives in the app under AI COO — Revenue Gap Planner.

Related reading