Solo wellness providers subscribe to an AI agent they talk to like back-office staff. It runs scheduling, collects and compiles billing documentation, and files insurance claims — reducing denial rates (from approx. 20% to under 5%) and increasing revenue. It replaces the administrative burden that keeps providers locked into group practices, and gives them the freedom to focus on the work they actually love doing — care for patients. They can finally practice the way they always imagined.
Subscribers are stuck choosing between two bad options: drown in admin, or stay locked into group practices they'd leave in a heartbeat if the back-office burden were lifted.
A solo wellness provider subscribes to an AI agent that runs their back office. The AI agent automates three back-office functions. Scheduling — it sends patients a booking link for new and follow-up visits per the provider's command, then manages the intake forms, reminders, and rescheduling around it. Visit notes — captured during the visit, generating the SOAP note automatically, which becomes the source document for revenue capture. Billing — the AI agent, acting as the back-office biller, turns notes into CPT/ICD codes and runs them through the hybrid denial-prevention engine, then files claims and tracks them to payment or appeal.
The interface is a chatbot: the provider talks to it like staff — "What's on my schedule today?" "Did Aetna pay for Maria's visit?" "Should I appeal this?" The provider reviews and signs off on the calls that matter, so every action stays traceable to a person, and that traceability is what keeps the system honest, compliant, and accountable.
The market is already saturated with noise — AI scribes, AI schedulers, AI everything. None of it touches the actual bottleneck. Solo providers aren't billers. They didn't go into practice to track payer rules that change monthly, and unless they've spent years as a dedicated biller, they're always behind — one step slower than the insurance companies whose job is to deny claims. That's the frustration this product is designed to alleviate — by building an AI-native environment, not bolting another AI feature onto the pile.
Denial prevention runs on a hybrid architecture, not a single model. An LLM reads the provider's clinical narrative and translates it into structured billing data; a deterministic rules engine then checks that data against payer rule books — eligibility checks, prior-auth requirements, documentation rules — and compliance logic, catching what an LLM should never be trusted to guess alone. That pairing is what actually gets a provider under a 5% denial rate. And it compounds: every claim filed sharpens real-time payer behavior across the network, hardening compliance for every subscriber — a new competitor starting today would need years of that history just to catch up.
Two pools exist today: providers already looking to outsource their admin work, and providers still embedded in traditional clinics who would jump at the chance to go independent the moment it became this easy.
Solo nutritionists and registered dietitians billing insurance.
GLP-1 and Zepbound prescribers — including the growing base of nurse practitioners and medical doctors at compounding-pharmacy telehealth platforms — managing high-denial, high-scrutiny prior auths.
Therapists, health coaches, and integrative nurse practitioners and medical doctors — many still inside group practices and clinics today, one easy tool away from leaving. As word spreads that admin can be smoothly outsourced to AI agents, this is the segment with the most room to grow, and the fastest to flock once it does.
I trained in medicine, then spent close to a decade on the other side of the desk — as a healthcare administrator managing grants, contracts, and operations at NYC's large healthcare system. I'm now completing an MBA with a concentration in AI, where I've built AI-driven data automation tools for healthcare admin work. I've seen what back-office complexity costs at scale — I'm building the version that gives a solo provider freedom to practice without burning out.