The RCM Compression Thesis Hits Dental: What PitchBook's Warning Means for DSOs and Billing Companies

The Report That Should Have Dental Billing's Attention

On June 24, 2026, PitchBook's Institutional Research Group published a report titled "AI Kills the RCM Star" — a direct warning to the private equity firms that have deployed $42.9 billion into medical RCM since 2017. The thesis: agentic AI automation, combined with intensifying competition from AI-native entrants, will collapse cost-to-collect rates from the current 4–5% range to below 1% by 2040. The total medical RCM revenue pool shrinks by more than 50%.

Dental billing hasn't made institutional headlines the same way. But the structural forces PitchBook is describing don't respect the medical/dental divide. If anything, dental RCM is more exposed in some categories — and DSOs are going to be the accelerant.

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The Compression Logic Applied to Dental

Dental outsourced billing currently runs at roughly 4–8% of collections depending on practice size, claim complexity, and vendor. Solo practices pay closer to the top of that range. DSO-level contracts with scale negotiated in can get below 4%, but the floor on human-labor-dependent billing services hasn't moved much in a decade.

That floor is now in question.

The PitchBook thesis is simple: when agentic AI can handle claim submission, eligibility verification, denial management, and appeal generation autonomously — and when that AI lives inside the system of record rather than in a standalone bolt-on tool — the labor cost that justifies a 4–8% billing fee disappears. What remains is a software cost that looks more like a subscription than a percentage of collections.

The same math applies to dental. The workflows are different. CDT codes instead of CPT codes. Dual-coverage coordination. Annual maximums. Pre-authorization on procedures rather than diagnoses. But the underlying claim cycle — submit, adjudicate, deny, appeal, resubmit — is structurally identical. What automates in medical RCM automates in dental RCM.

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DSOs Will Accelerate the Transition

In the medical space, PitchBook points to CommonSpirit Health paying Conifer Health Solutions (Tenet's RCM subsidiary) $1.9 billion to exit their outsourcing contract six years early. They then announced an insourcing partnership with Midstream Health. Large health systems are doing the math: at compressing take rates, the value of owning the capability internally versus paying a vendor percentage looks increasingly favorable.

DSOs are going to run the same calculation — and they're better positioned to act on it fast.

A DSO with 50+ locations has the claim volume to justify AI-native billing infrastructure. They have central billing operations already. They have leverage with EHR vendors to negotiate integrated tooling. And unlike a solo practice that depends entirely on its billing service, a DSO has the internal team infrastructure to absorb a capability.

The DSO segment is where the transition from outsourced billing to integrated AI-native RCM will happen first in dental. Solo and small-group practices will lag — not because the technology doesn't reach them, but because the economics of switching take longer to close at lower volume.

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Which Dental Workflows Are Most Exposed

Not every workflow compresses at the same rate. Based on where agentic AI is maturing fastest, three dental billing categories face the most immediate pressure:

Insurance Verification

Verification is already commoditizing. Real-time eligibility checks through clearinghouse integrations have been available for years. The remaining manual work — interpreting benefit details, documenting coverage nuances, flagging coordination-of-benefits situations — is exactly the kind of structured reasoning task that agentic AI handles well. Vendors building standalone verification tools are competing against functionality that dental EHRs will absorb.

Claim Submission and Attachment Handling

CDT-coded claims with radiograph attachments are structured data. The assembly, scrubbing, and submission process is highly automatable. The differentiation that billing companies have historically offered — knowing which payors want which attachment formats, which clearinghouse routes have the best first-pass rates — is learnable at scale. AI-native tools are already narrowing that knowledge gap.

Denial Management and Appeals

This is where the most value sits and where AI-native entrants are investing most aggressively. First-pass appeal success rates matter enormously at scale. A DSO running 10,000 claims a month where 20% are denied has a material AR problem if appeal conversion is low. Agentic tools that can generate payer-specific appeal letters calibrated to adjudication patterns — rather than generic rebuttals — are beginning to demonstrate measurable improvements in appeal success rates.

Credentialing is a fourth workflow worth watching. It's more complex, more variable, and involves human verification steps that are harder to automate cleanly. But the vendor space is consolidating and the first credentialing automation tools purpose-built for dental groups are now in market.

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Who's Positioned Well in Dental

PitchBook's conclusion for medical RCM is instructive: EHR vendors with strong integrated AI-native solutions and moats as systems of record have the clearest path to winning. Standalone AI tools that aren't integrated into clinical workflows will struggle because the burden of working outside the system of record is too high.

In dental, that maps directly to the major EHR platforms:

• Henry Schein One / Dentrix — The largest installed base in dental. Any RCM automation Henry Schein embeds into Dentrix is immediately accessible to a massive practice footprint without a separate vendor relationship.
• Patterson Dental / Eaglesoft — Similar dynamic. Practices that live in Eaglesoft are stickier to solutions that connect natively.
• Curve Dental — Cloud-native and faster-moving than the legacy platforms. Better positioned to iterate on integrated AI features quickly.
• Open Dental — Open-source with a strong independent developer ecosystem. AI-native billing tools built on Open Dental's API have a direct path to a price-sensitive practice segment.

The dental billing companies most at risk are those whose value proposition is purely labor arbitrage — offshore billing teams processing claims manually at a percentage of collections. That model is exactly what PitchBook is projecting will compress in medical, and there's no structural reason dental is different.

Dental billing companies with technology differentiation — proprietary denial intelligence, payer-specific workflow automation, integrated analytics — are better positioned, but only if that technology is genuinely embedded in the clinical workflow rather than sitting in a separate dashboard that staff have to log into separately.

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What DSOs Should Be Asking Their Billing Vendors Right Now

If you're a DSO operator or a dental group CFO evaluating your RCM arrangements, a few questions are worth asking before the next contract renewal:

• What's your technology roadmap for agentic automation? A billing company with no credible answer to this question is operating on a cost structure that will compress whether they plan for it or not.
• Are you integrated into our EHR natively, or are you working alongside it? Workflow integration is the filter PitchBook identifies for who survives the transition. It applies equally in dental.
• What's your take rate trajectory over a 3-year term? If a vendor is unwilling to discuss rate compression in a long-term contract, that's worth noting. The market is moving.
• Can you demonstrate appeal success rate data by payer? This is where billing companies create defensible value. If they can't show you their appeal conversion data by CDT code and payer combination, their denial management is manual and undifferentiated.

For DSOs currently evaluating billing vendors, signing a multi-year contract at today's take rates without technology-linked pricing provisions is the dental equivalent of CommonSpirit locking into Conifer at 2019 rates. The termination fee math eventually gets worse than the repricing math.

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The Timeline

PitchBook frames the medical RCM transition as a question of timing, not outcome. The direction is settled. The variable is speed.

In dental, the speed variable tilts toward faster at the DSO level and slower at the solo practice level. DSOs with 20+ locations should be actively evaluating their RCM technology stack now. Solo practices have more runway, but the tools reaching them will be the ones that already achieved scale in DSO environments first.

The compression is coming. The practices and groups that run toward it — by demanding better technology from vendors, by evaluating EHR-integrated solutions seriously, by building internal RCM capability where volume justifies it — will be better positioned than those that wait for their billing company to tell them what's changing.

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Avized tracks 200+ dental technology vendors across practice management, RCM, patient communication, clinical AI, and ancillary services. See our full coverage of dental RCM vendors and billing automation tools to evaluate the current vendor landscape.