USE CASE · MEDICAL

Built for the practices generic health tech was never built to serve.

Independent physicians, functional medicine practices, med spas, specialty clinics, urgent care centers, and multi- provider groups all operate with the same complexity as much larger institutions, with a fraction of the staff and none of the infrastructure. Oz builds the systems that let them run that way.

Book a scoping call

The way medical practices operate has changed. The software has not.

The independent medical practice used to survive on paper charts, a phone that rang, and staff who knew every patient by name. That model held for decades. It does not hold anymore.

Today a single practice runs on a patchwork of systems that were never designed to work together. An EMR that stores clinical data but cannot reach out to patients. A billing platform that files claims but cannot flag coverage gaps before treatment. A phone line that rolls to voicemail after hours. A marketing tool that pushes generic campaigns to a list, without knowing which patients are overdue, which are high value, or which have quietly disappeared. Each tool was sold as a solution. Together they leave the operational weight of the entire practice on the owner.

Meanwhile, everything downstream has gotten heavier. Insurance denials have climbed. Patient acquisition costs keep rising. Staffing is harder than it has ever been, and turnover eats into every workflow that depended on a specific person knowing a specific thing. The margin for operational error has collapsed. The practices that will survive the next decade are the ones that stop assembling tools and start operating on systems built for them — systems that know their patients, watch their claims, answer their phones, and follow up on their behalf, on infrastructure they control, without adding a single person to payroll.

CAPABILITIES

Systems designed around how your practice actually runs.

Every Oz engagement starts with the specific handoffs, exceptions, and workflows a practice already runs on. There are no templates. There are no forced workflows. There are no guardrails on what can be built. If you can describe it, Oz can build it, deploy it on infrastructure you control, and hand it back to you to run. The examples below are patterns we have built and can build again. They are not the ceiling. They are a starting point for the conversation.

  1. Patient outreach agents that read your EMR.

    Agents that connect directly to your EMR, run queries against clinical history, treatment cadence, and appointment gaps, and identify patients who are overdue for follow-up, at risk of dropping out of care, or clinically eligible for a specific service. Outreach goes through the practice's own channels — SMS from the practice's number, email from the practice's domain, portal messages under the practice's brand. Not a third-party marketing platform. Not a shared tenant. Personalized, medically-informed communication that treats patients as patients, not as a marketing list.

  2. Insurance benefit verification and claims preparation before treatment is rendered.

    Agents that read each patient's breakdown of benefits before the visit, flag coverage limits, prior authorization requirements, deductible status, and out-of-pocket exposure, and prepare the claim for clean submission. Denial rates drop because coverage friction is caught upstream. Approvals move faster because claims arrive with the correct codes, modifiers, and documentation attached. Patients stop getting surprise bills. The practice stops absorbing the operational cost of denied claims and appeals cycles.

  3. Referral network intelligence, not spreadsheets.

    Agents that watch inbound referrals across every channel, track which sources send which patients, monitor which referrals convert to first appointments and which convert to long-term care, and surface the network relationships worth nurturing. Referral marketing runs on data instead of gut feel. The practice knows which referring providers are worth a lunch and which are quietly ghosting.

  4. Voice agents for inbound calls, trained on your practice.

    Voice agents trained on the practice's services, providers, scheduling logic, insurance participation, and common patient questions. Calls that would have gone to voicemail get answered, triaged, and either resolved directly or routed to the correct person. The front desk stops being a bottleneck. The practice stops losing new patients to competitors who happened to answer the phone.

  5. Private AI, deployed on infrastructure you control.

    This is the architecture that separates Oz from every generic AI vendor in the medical space. Every model, every agent, every workflow can be deployed on the practice's own infrastructure — on-premise GPU servers, a private cloud tenant, or a HIPAA-eligible VPC the practice controls end-to-end. Options include self- hosted open-weight models (Llama, Mistral, medical- tuned variants like BioClinicalBERT) served through vLLM or Ollama, or HIPAA-eligible serverless GPU on Replicate, RunPod, or AWS. Retrieval-augmented generation against the practice's own clinical corpus, so responses stay grounded in your protocols and your data, not the vendor's training set. Every request logged, every model version pinned, every data flow audited. Patient data never leaves the operation. There is no shared tenant. There is no data-processing agreement buried in a vendor's terms of service. There is no third party training on your patients. The AI that runs your practice belongs to your practice, sits inside your walls, and answers only to you. This is the only architecture that makes sense when the material being processed is PHI. It is also the architecture that generic health-tech vendors cannot offer, because their business model depends on your data flowing through their servers.

These are patterns. What Oz builds for your practice depends entirely on your practice. That is the point.

RECENT BUILD

$1.2M

in dormant patient revenue recovered

A custom retention system that reads patient history directly from the practice's EMR, scores each patient's likelihood to return based on treatment cadence, clinical eligibility, and lifetime value, and triggers personalized outreach through the practice's own channels. Not a marketing platform. The system runs inside the practice's infrastructure and every message goes out under the practice's brand and voice. Patient data never leaves the operation.

This is one engagement. What Oz builds for a medical practice depends entirely on what the practice needs. The scoping call is where we figure that out.

See what Oz would build for your practice.

The first call is diagnostic, not a pitch. We walk through how your practice actually operates, where the friction lives, and what a system designed around your operation could look like. If Oz is not the right fit, we tell you. If it is, you leave the call knowing exactly what a build would include and what it would cost.

Book a scoping call
Back to other use cases