The visit ends and the claim is already written.
This is how Tao Performance works when the plan is finished. The note written during a visit carries the treatment code onto the claim by itself, written once, never retyped hours later. A patient's coverage is confirmed before they sit down. A slot that opens is offered to someone already waiting instead of going quiet. Former patients hear from the practice for the first time in years. And the back office runs on something an apprentice can learn in a week, which is the part that frees a practitioner to teach one.
The first pieces are already running.
What is running now
The list is approved and the mail is ready to send
Every name on the first outreach was read aloud and approved by the practitioner, with some removed. Nothing goes out that the practice has not seen first. The mail authentication the practice sends under is published and verified against live public DNS, which had to be true before the first letter could go anywhere.
The move to the new system is underway. From there the codes flow from the note to the claim, eligibility is checked before the visit rather than chased after it, and the reactivation goes out in waves rather than one send.
How the practice got here
The obvious answer turned out to be the wrong one
Seven years of appointment history was read before anything was recommended: how the week actually runs, how people arrive, and which former patients stopped coming and when.
A calendar with quiet days on it looks like a practice that needs more patients. This one does not. Those days are kept deliberately, and four treatment rooms run at once, so an hour with one name in the book is not an hour going to waste. A plan built on filling them would have spent a year aiming at the wrong thing.
The room this practice already has is in the appointments it wins and then loses: the ones cancelled on the days that are busy. That is demand that already arrived. It has a different answer from going out to find more.
Knowing which of those to work on first is worth more than any single piece of automation, and that is what the plan is built against.
How the decision was made
Three systems compared, including the case for changing nothing
Three systems were compared in plain terms, with the case for changing nothing included, and the recommendation made against the practice's own numbers rather than a general case. The practitioner chose with the comparison in hand and spent no time on vendor research.
The parts that were genuinely the practice's to decide, like how the new system should feel and what matters most about its own patients, stayed with the practice. The parts that were not, stopped being its problem.
Where the practice started
Every code written twice, and benefits tracked in a text field
The practitioner treats in four rooms at once and runs the business alone. Every treatment code was entered twice, once in the chart during the visit and again in billing afterward, often hours later. Insurance benefits for dozens of patients lived in a text field, updated whenever somebody remembered to. Get it wrong and the practice treats a patient and never sees a dollar for it.
Switching systems reads like a project for a practice with staff and a slow season. Tao Performance has four rooms and neither, so the hard way continued, because the alternative looked harder.
Where this is going
A back office an apprentice can run
The practitioner intends to spend the next part of a long career teaching apprentices rather than running a back office. The system going in is built so somebody else can pick it up: learnable quickly, supportable without a phone call, and dependable while the practitioner is in a room with a patient rather than at a keyboard after hours.
This is what your free AI plan gets you
A clear plan for your own practice, in plain language, before you spend a dollar or learn a single new piece of software.