AI in Dentistry and DSOs
The administrative half, which is where multi-practice groups actually lose money.
Dental AI is dominated by radiograph interpretation, which is genuinely useful, squarely a regulated device function, and already well served by established products. The administrative half of a practice has had almost no attention and is where a multi-practice group loses the most money. That is the part we build.
Book a free consultationWhat makes this hard
- Insurance narratives are written by hand per claim and rejected for reasons that repeat endlessly
- Multi-practice groups cannot compare performance because every practice records things differently
- Front desk turnover destroys scheduling quality, and scheduling quality drives chair utilisation
- Treatment plan acceptance varies enormously by provider with no visibility into why
Where AI earns its place
Insurance Narrative and Claim Support
Draft clinical narratives from the chart against the payer's stated criteria, and appeal denials using the language that has worked with that payer before.
Fewer denials, faster appealsCross-Practice Reporting
Normalise and compare production, utilisation and case acceptance across practices that record data inconsistently.
Group-level comparison that is actually comparableScheduling and Recall
Handle recall outreach, confirmations and rescheduling so chair time is filled without depending on front desk tenure.
Utilisation independent of staff turnoverChart and Documentation Support
Structure clinical documentation for completeness against what the claim will require, before the claim is submitted.
Documentation complete at the point of careFigures are drawn from Senteras engagements and are illustrative of typical results. Outcomes vary by data quality, infrastructure and scope.
The rules that shape the build
These are the constraints that decide the architecture, usually before anyone has picked a model. This is general information about the regulatory landscape, not legal advice on your obligations.
HIPAA
Dental records are PHI and the analysis is identical to the rest of healthcare. A model on your own infrastructure removes the disclosure; a cloud service needs a BAA and a risk analysis.
FDA device regulation
Software interpreting a radiograph to detect pathology is a regulated device requiring clearance. Administrative and documentation support is not. The line is clear and worth staying on the right side of.
State dental practice acts
Anything touching treatment recommendation sits within the practice of dentistry and belongs to a licensed dentist, not a system.
We do not read radiographs
Radiograph interpretation is a regulated device function with cleared products already competing well in it, and building an uncleared alternative would be both a regulatory problem and a poor use of your money. Senteras builds the administrative and revenue-cycle half, which is uncontested, unglamorous and where a DSO with thirty practices finds far more margin.
Where this applies
The same core systems, with the differences that matter in each setting.
- Dental service organisations
- Cross-practice normalisation and revenue cycle carry the return; scale is what makes the integration work worth it.
- Single and small group practices
- Insurance narratives and recall are the two that pay back fastest without an IT function.
- Orthodontics
- Longer treatment arcs make recall and adherence communication the dominant use case.
- Oral surgery
- Referral intake and pre-authorisation, which look like the wider healthcare prior-authorisation pattern.
Common questions
Do you build radiograph reading?
No. That is a regulated device function with cleared products already competing in it. Building an uncleared alternative would be a regulatory problem and a poor use of your money. We build the administrative half, which is uncontested and where a group of any size finds more margin.
What is the fastest payback for a DSO?
Insurance narratives and denial appeals. Denial reasons repeat, appeals are formulaic, and most groups write off recoverable revenue because nobody had time. It also needs no clinical judgement, so it is quick to deploy.
Does HIPAA apply the same way as in medicine?
Identically. Dental records are PHI. A model on your own infrastructure removes the disclosure question; a cloud service needs a BAA and a risk analysis covering the use.
Our practices all record data differently.
That is the normal starting position for a group that grew by acquisition, and it is exactly what makes cross-practice normalisation valuable. It is also the bulk of the work, so expect the estimate to reflect data condition rather than model complexity.
How we build it
Local & On-Prem LLM Deployment
The most powerful AI models, running entirely on your hardware.
Custom AI Agents & Automation
AI that doesn't just answer questions. It gets things done.
AI Strategy & Roadmap
A clear path from where you are to where AI can take you.
Document Processing
Extraction, classification and validation across formats you do not control.
Customer Service AI
Deflect the routine volume without trapping anyone in a loop.
Invoice Processing
Reads any layout, and tells you when it is unsure.
Find out what this looks like for your organisation
A 30-minute call. We will tell you plainly whether AI is the right tool for the problem you have, including when it is not.
Book a free consultation