Overjet Launches Ivy. Dental AI Is Moving From Eligibility Checks to Collecting at the Visit.

The next important dental AI workflow may not be inside the operatory. It may be the conversation before the patient ever sits in the chair: What will insurance actually cover, what will the patient owe, and can the practice collect the right amount before it becomes an aging balance? With Ivy, Overjet is moving beyond checking whether coverage is active and into a far more financially consequential task—building patient-specific treatment estimates from payer information and practice fees.

On October 19, 2026, Overjet introduced Ivy, describing an AI insurance coordinator for dental teams. The product verifies eligibility and benefits, evaluates coverage limits and exclusions, retrieves feedback from participating payers and calls insurers when digital sources are insufficient. It combines that information with practice fee schedules to build estimates before treatment. Today's launch includes estimates, a redesigned dashboard and payer-calling capabilities.

Overjet's positioning is deliberate. Traditional eligibility automation tells staff whether a plan exists and returns some benefit details. Ivy aims to help the team decide what to tell the patient, how much to collect and which exceptions need attention before a claim is submitted.

32 staff hours · $100–$200 in daily collections

In Overjet's announcement, Carolina Pines Dentistry's insurance coordinator describes recovering a full 32-hour workweek of manual effort; Signature Periodontics reports collecting an additional $100–$200 a day using Ivy. These are individual customer testimonials supplied by Overjet, not independent average outcomes. Overjet's product page also advertises approximately 40 hours saved monthly and 20% higher time-of-service collections, without publishing a controlled sample or methodology.

From a Benefit Lookup to an Actionable Patient Estimate

Verifying eligibility is not the same as estimating a planned treatment. An active dental plan can still produce a denied or unexpectedly small payment because of frequency limits, annual maximums, a deductible, a downgrade, a waiting period or a tooth-specific service history restriction. Those details influence the patient portion—and the amount the practice may need to collect.

Overjet says Ivy processes the schedule ahead of appointments, assembles an insurance brief for each patient, checks codes in the visit and treatment plan, and flags restrictions that could change the estimate. Its product page describes maximums, deductibles, coordination-of-benefits status, exclusions, alternative benefits and missing-tooth clauses shown with source information. When the payer has not supplied a value, Ivy is designed to mark it as not returned rather than invent an answer.

Crucially, the estimate uses the practice's own fees. A payer benefit percentage without the correct fee, network terms and applicable plan rules is not a reliable estimate of the patient balance. Bringing those elements together makes verification useful to front-desk staff, treatment coordinators and financial teams—not just insurance specialists.

The Payer-Calling Feature Is the More Difficult Part

Clearinghouse feeds and payer portals do not consistently supply complete dental benefit details. When a field is missing, an insurance coordinator may still need to call, wait on hold, ask a follow-up question and document what the representative said. Ivy's payer-calling capability targets that exception path.

Overjet says the system can call insurers to obtain missing answers and document what it finds. That could save meaningful labor if it works repeatedly across payers, plans and phone-tree changes. But the critical evaluation is not how many calls an agent places. It is whether the final answer is attached to the correct member, group, procedure, tooth and date of service, with traceable evidence and clear uncertainty where benefits remain unresolved.

A successful phone call should not be confused with a binding guarantee of payment. Payer representatives can provide incomplete information, adjudication can differ from a verbal benefit quote, and coverage details may change before the claim is processed.

The RCAI Signal

Insurance verification is becoming an upstream revenue-assurance workflow. The next defensible product will not simply retrieve benefit data faster. It will translate incomplete payer information into evidence-backed patient estimates, identify exceptions early and demonstrate that more of the correct patient balance is collected at the right time.

What the Early Customer Results Do—and Do Not—Show

Overjet's release offers two concrete customer examples:

Carolina Pines Dentistry: Insurance coordinator Misty Butler says work that once required navigating payer websites can now be organized for the current and following week in a day, giving her more time for claims and patient statements. She characterizes the workload saved as 32 hours.
Signature Periodontics: Director of Office Administration Christy Samson reports an additional $100–$200 in daily collections associated with Ivy. The launch release describes the impact at each of three locations; the product-page testimonial describes the figure across three locations. Those phrasings are not identical, so a per-site financial projection is not justified without clarification.

The Ivy landing page separately reports about 40 hours saved monthly, $500–$1,000 in weekly patient-cost corrections, 20% higher time-of-service collections and about $50,000 annually associated with fewer unnecessary write-offs and adjustments. Overjet has not presented a study population, denominator, detailed baseline or independent verification for those website figures.

More money collected at checkout is promising, but it may reflect timing rather than incremental lifetime collections. A fair ROI analysis must distinguish cash accelerated into the visit from balances that would otherwise never be collected, as well as genuine write-off avoidance from reclassification of adjustments.

ReviewPASS Adds Another Layer—But Not a Payment Guarantee

Ivy can also connect to participating payers through Overjet's ReviewPASS capability. For supported procedures, ReviewPASS offers real-time feedback on whether the submitted case may bypass manual clinical review. That matters when explaining expected treatment and insurance outcomes to a patient.

But two caveats matter: support varies by payer and procedure, and a positive review signal is not the same as a final adjudicated payment. The actual allowed amount, eligibility, documentation, frequency restrictions, network status and policy terms still affect reimbursement. Providers should keep that distinction clear during financial conversations.

Why This Matters to DSOs and Multisite Dental Groups

For a 50- or 150-location dental group, the strategic opportunity is standardization. Benefit checks and estimates can vary widely by office, by staff experience and by how well the practice's payer rules are maintained. An AI coordinator could create a more consistent front-end process while directing ambiguous cases to humans.

But deployment at scale introduces a different risk: small estimation errors repeated across an entire network. DSOs should test the technology against the payer mix, fee schedules, contracted networks, CDT-code patterns and practice-management configurations in each market. A system that works on routine preventive care may encounter much harder cases in major restorative, prosthodontic and specialty dentistry.

The operating questions are measurable:

Accuracy: How often do pre-treatment estimates match final adjudication, and why do they diverge?
Coverage: Which payers, plans, CDT codes and treatment scenarios require manual escalation?
Cash: How much incremental net patient cash is realized, beyond merely accelerating collections by a few weeks?
Labor: How much staff time disappears after exception handling, correction and patient communication are included?
Governance: Can the organization audit where every benefit answer came from and update a mistaken estimate before a patient is charged?

The Competitive Shift: Dental Clinical AI Meets Financial Workflow

Overjet entered the market primarily through clinical imaging AI, and its product portfolio now spans imaging, documentation and insurance workflows. Ivy brings that footprint further into the dental revenue cycle, where clinical recommendations, code-level benefits, payer review and the patient's financial responsibility intersect.

That does not make Ivy a complete billing, claims or payer-contract intelligence platform. Estimating what a patient owes is a different problem from negotiating reimbursement, understanding network leasing or validating that a payer paid the correct contracted rate. But the boundaries between clinical operations and front-end RCM are clearly narrowing.

For vendors selling narrower insurance-verification tools, the challenge is becoming harder: a simple eligibility response may be insufficient when practices can instead buy a workflow that attempts to resolve missing benefits and turns verified details into a patient-facing estimate.

RCAI Take

Ivy's launch is a meaningful marker in dental AI: the center of gravity is shifting from detecting disease and checking eligibility to managing the financial moments that determine whether care proceeds and whether the practice gets paid.

The promising part is the combination of code-level benefit checks, payer calling, practice fee data and pre-treatment estimates. The unresolved part is proof at scale: estimate-to-adjudication accuracy, the economics of exceptions and the true incremental cash yield beyond earlier payment timing.

If those measures hold up, the patient estimate may become one of dental RCM's most valuable AI workflows.

Sources: Overjet, “Overjet launches Ivy, an AI Insurance Coordinator,” October 19, 2026; Overjet Ivy product page. Product features, testimonials and quantified performance claims are attributable to Overjet; analysis, financial measurement considerations and buyer diligence questions are RevCycleAI commentary.