Governed AI Operator Layer · Dental Groups & DSOs
Your wins work at 8 offices. Do they run the same way, every night, at 40?
RIG is the governed operator layer that runs on top of the Denticon, Dentrix, or Open Dental stack you already have — it turns your reports into a to-do list your team actually acts on, standardizes the front office across sites, protects every dentist's autonomy, and does it with no rip-and-replace.
the problem at 40 that wasn't a problem at 8
Your best office runs on a person, not a system.
Revenue-cycle leakage is small at one location and invisible across forty. A missed recall here, an unsubmitted claim there, an open chair nobody filled — each is a rounding error at a single office and a real number when you multiply it by every site in the group. Most groups run an MSP that keeps the network up and one IT lead who keeps the lights on. Neither has cross-site visibility into which office is leaking recall, which is leaking claims, and which of your operators found the fix that never made it to the other thirty-nine.
The wins that made your first eight offices work live in people's heads and habits. They don't replicate to office 40 by hiring harder or sending another spreadsheet. The pattern DSO operators describe is the same one: the systems you already run produce plenty of reports — what's missing is turning them into a to-do list your team works the same way, every night, at every site.
This isn't a headcount problem or a software problem — it's an execution-consistency problem. The playbook exists. It just doesn't run identically at scale. RIG's job is to make it run identically, on top of the PMS you already own, without pulling the licensed clinician out of the driver's seat.
eight named operators running your book
Not "an AI." Eight specific jobs, each with one owner.
Each operator does one thing well, on top of your data, at every location. In the demo you can watch each one read the book, propose the next action, and show its work.
The Recall Engine
Flags patients overdue for recall or hygiene at every site and hands the front desk a ranked re-book list — so the recall gap doesn't quietly widen at office 37.
The Front Door
Watches new-patient calls, web forms, and unconverted leads across locations, so no inbound patient goes unanswered when a front desk is slammed.
The Verifier
Confirms insurance eligibility and benefits before the visit, so eligibility surprises don't turn into write-offs after the chair time is already spent.
The Claims Desk
Surfaces unsubmitted, denied, and aging claims by location and queues the next action — the revenue-cycle leak you can't see across forty separate books.
The Chair Fill
Turns same-day cancellations and open slots into a prioritized call list, so an empty operatory gets filled instead of billed to nobody.
The Case Desk
Surfaces already-diagnosed, dentist-approved treatment plans a patient never scheduled, so approved care doesn't fall through the cracks between visits. The dentist decides the plan; the operator only tracks the follow-up.
The Credential Watch
Tracks provider licenses, DEA, and credentialing expirations across every location — before a lapse quietly stops a provider from billing.
The Integration Desk
Sits on top of Denticon, Dentrix, or Open Dental and keeps the operators fed from the PMS you already run — no rip-and-replace, no new system for the team to learn.
Note where the line sits. Every one of these operators is an operations job — recall, scheduling, eligibility, claims, credentialing, and following up on care a licensed dentist has already diagnosed and approved. None of them diagnoses a patient, reads an image, or makes a clinical call. That stays with your clinician, by design.
the governance is the product
Strategy first. AI proposes. A human approves. Proof packet.
The reason this is safe to run across forty locations is the loop it runs inside. The automation is the easy part; the governance is what makes it yours.
Strategy first
We map where revenue actually leaks across your locations before a single agent runs. Strategy decides what's even worth automating.
AI proposes
Each operator reads your data and proposes the next action — with the evidence behind it and a confidence it will show its work on.
A human approves
Your team approves, edits, or overrides. The agent never acts on a consequential decision alone — the human stays in the loop.
Proof packet
Every action leaves a hash-bound audit trail: what it saw, what it proposed, who approved. Governance you can hand to counsel or PE diligence.
This is the same discipline RIG runs internally: 100+ governed agents across 24 internal systems — our own build, not client deployments. It's the mechanism, shown plainly, not a testimonial. It's also why a group that wants a clean answer to "what is the AI allowed to do, and who approved it?" can actually get one.
see your number
The demo runs on a synthetic book. The read runs on yours.
The free 30-minute assessment isn't a slide deck — we run the same model you'll see in the demo against your real locations and walk you through where the leak actually is, worst-first.
That figure is illustrative — it's what the model surfaces on made-up data so you can see the mechanism. On the assessment we replace the synthetic book with yours and the number becomes real, grounded, and yours to keep.
Tell me your group and I'll bring the model to your locations: which operator recovers the most for you first, what it would take to run it on top of your PMS, and a plain answer on what's automatable versus what stays with your clinicians. No obligation, and if your group is already running lean I'll tell you so.
walk the console yourself
The live DSO demo — access is set up for Dykema.
If you're at the Dykema DSO conference, the console is live and set up for you. Open it, pick a location, and watch the eight operators read the book, rank the recoverable actions, and surface the evidence and confidence behind each one. It runs on a synthetic 40-location book — modeled on Denticon-style practice data, with no live PMS connection and no PHI — so you're seeing the mechanism, honestly labeled, not a real patient record.
the economics, cited not claimed
Why the leak is bigger than it feels.
Read the last one carefully, because the honest framing matters: the licensed dentist diagnoses and approves every plan. The gap between an average group and a top operator on already-approved, unscheduled care is an operational follow-up gap — patients who said "not today" and were never followed up with — not a case for presenting more treatment. RIG only closes the operational side. Every figure here is modeled or cited to a public benchmark and is explicitly not a RIG client result — RIG is pre-first-external-client, by design.
how to work with RIG
Start free. Scale when the number is real.
The free read is the top of a short, honest ladder — you only move up it once the value is proven on your own book: a free 30-min assessment → a $2,500 refundable opportunity brief → a fractional CAIO engagement ($5–25k/mo) → a governed build ($25–150k). Strategy comes first, then the AI that proposes, then the automation that runs it — in that order, on top of the PMS you already own, never a rip-and-replace.
questions
Scaling AI across locations, answered.
Does RIG replace our practice-management system?
No. RIG is a governed operator layer that runs on top of Denticon, Dentrix, or Open Dental — the system you already use. No rip-and-replace, and no new PMS for your team to learn.
Does the AI diagnose patients or make clinical decisions?
No. The licensed dentist makes every clinical and treatment decision. RIG's operators handle operations — recall, scheduling, insurance eligibility, claims, and follow-up on care the dentist has already approved — with a human approving anything consequential.
Are the dollar figures in the demo from a real client?
No. RIG is pre-first-external-client. The demo runs on a synthetic 40-location book — no live PMS and no PHI — and every figure is modeled or cited to a public benchmark, not a client result. On the free read we run the model against your real locations.
What does it cost, and how do we start?
Start free — a 30-minute assessment where we run the model against your real locations. From there the ladder is a $2,500 refundable opportunity brief, a fractional CAIO engagement ($5–25k/mo), or a governed build ($25–150k).
Every figure on this page is modeled or illustrative — RIG's own modeling from public dental-operations norms and RIG's dental ICP build card, not a RIG client result. The demo's dollar figures are modeled on a synthetic 40-location book, with no live PMS connection and no PHI.
RIG is pre-first-external-client: no client names, logos, or testimonials appear here, by design. The "100+ governed agents across 24 internal systems" figure is RIG's own internal build, shown as the mechanism.
RIG is an operating and governance layer that runs on top of your existing practice-management system — not a clinical decision-maker, not a diagnostic device, and not FDA-cleared. The licensed dentist diagnoses and decides all treatment; RIG governs the operations around it.