AI employees that run every location you own.
PT, chiropractic, mental health, dental, orthodontics, medspa. We build AI employees into the systems you already run, and they find where the money leaks across your locations, then go to work closing it in the back office your team still does manually, all HIPAA-compliant.
See where you're leakingA clear picture of your practice.
Where your money comes from and where your hours go sit buried in systems that don't talk to each other, across every location you run. The AI employees surface it as one picture you can act on, fully HIPAA-compliant.
AI employees go to work inside your back office.
In the first 2 to 3 weeks we map your operation and build your first working AI employee inside your stack, so you see it before we build the rest. Then our engineers embed in your practice and build AI employees inside the systems you already run. They chase down intake follow-ups, pull record requests, draft notes, and reconcile billing overnight. One pediatric therapy client needed every location handled the same way instead of seven seams where revenue slipped. Ninety days later, all seven ran on one custom build. Anything that matters routes back to your team for approval first.
Two AI employees we've already built for other practices:
The calendar reworks itself
A patient cancels and an AI employee reshuffles the day, pulling from the waitlist so the hour still gets billed. Overnight, it sweeps authorizations and staff credentials and flags what's about to expire.
Billing closes its own loop
Every remittance gets matched back to its claim and note, one to one. Unbilled hours and credential tracking stop slipping, whatever discipline you run.
Your next referral partners are already in your data.
Your patients also see primary care doctors, specialists, and other providers. Our mapper finds the overlap and we run the outreach. At Sensory Speech & OT, the map turned into 3 formal partnerships that now generate $24,000 a month in recurring revenue.
We also script the ads, plan your content schedule, and build pages a patient can book through without calling. Follow-up runs itself, and one report shows spend, cost per booked patient, and revenue added.
The outreach never discloses a shared patient. That constraint is built into the product.
How we build it.
We start from the problem you feel, then build the fix on the systems you already run. Discovery and your first working AI employee take 2 to 3 weeks. The full build runs 8 to 12 weeks.
Start with a free 30-minute call
A short call about where the work is piling up and what that is costing you while it stays manual. No commitment, and you leave knowing where you would start.
Discovery and your first AI employee (weeks 1 to 3)
A few working sessions with your team. We map your operation end to end, every workflow across your locations, and find where the money leaks and what closing it is worth. You do not walk away with just a document. By the end of discovery we have built your first working AI employee on top of the systems you already run, so you see it pay off in your real setup before the full build starts.
The full build (8 to 12 weeks, start to finish)
We build the rest of the AI employees you mapped and wire them across every location. Nothing goes out until your team approves it, so you stay in control the whole way. One pediatric therapy client had all seven locations live within 90 days.
Common questions.
Can AI automate billing across multiple clinic locations without replacing our EHR?
Yes. Relay builds AI employees that sit on top of your existing EHRs and billing tools and pull data across every location into one workflow. The AI does the filing, follow-up, and reconciliation, and your staff approves. You keep the systems you already run and add automation on top of them.
What admin work can a multi-location therapy or chiropractic clinic automate without renting another SaaS platform?
Intake, insurance eligibility checks, prior authorization, claim submission, denial management, billing reconciliation, and compliance monitoring can all run automatically. Relay builds it into your existing stack on a monthly engagement, with no new platform for your team to learn.
How does AI handle prior authorization for therapy or mental health clinics?
It pulls the patient and payer data from your EHR, drafts the authorization request against payer rules, and queues it for a staff member to review and submit. Nothing goes out without a human sign-off. Turnaround time drops, and denials from missing or late auth drop with it. The build runs on top of your existing EHR, so there is nothing new for staff to learn.
What is a healthy claim denial rate for a multi-location PT or chiropractic practice, and can AI close the gap?
Most well-run practices target a denial rate under 5%. If yours is higher, the gap almost always traces to coding errors, missing prior auth, or slow follow-up on rejections. Relay's AI employees catch those before submission and work denials automatically, with a human approving any resubmission.
We run WebPT across our PT locations. Does AI billing automation work with it, or do we have to switch?
No switch needed. Relay builds on top of whatever your locations already run, including WebPT, CentralReach, SimplePractice, and others. The AI employees connect to your existing tools, they do not replace them. Relay is not an EHR and is never pitched as one.
How quickly can all of our clinic locations get onto the same AI back-office system?
One multi-location client had all 7 of its locations running on a Relay build within 90 days. Rollout speed depends on how many systems need connecting, but multi-location is the core use case, not a stretch.
We switched billing vendors once and got burned when ours was acquired. How do we avoid that again?
Relay builds on top of the EHRs you already run, so the automation is inside your existing stack rather than on a separate platform that can change hands. The engagement is month to month after the build. If Relay ever stopped operating, the workflows stay inside the systems your team already uses every day.
Want to learn more, or just want to start with training?
Some practices want the full build: the picture, the AI employees, the growth engine. Others just want their team trained on AI, a two-to-five-day intensive with 90 days of drop-in calls. Either way the call is a free 30-minute working session, and you leave with a map of where you'd start.