Pearl Launches AI-Powered RCM Platform to Transform Dental Insurance Workflows and Improve Claim Outcomes
Pearl, a global leader in dental artificial intelligence solutions, has introduced Pearl RCM, an advanced revenue cycle management platform designed to modernize the way dental practices handle insurance workflows, claims preparation, and reimbursement processes. The new platform integrates AI-powered insurance intelligence directly into clinical and operational workflows, helping dental providers reduce administrative burden, accelerate reimbursements, and improve claim accuracy.
The launch comes at a time when dental practices across the United States are facing mounting challenges tied to insurance verification, claim denials, delayed reimbursements, and patient dissatisfaction related to unexpected billing costs. Pearl RCM aims to solve these long-standing pain points by embedding insurance readiness throughout every stage of the patient journey—from scheduling and imaging to diagnosis, treatment planning, and final claim submission.
Unlike traditional revenue cycle management systems that operate only after treatment has been completed, Pearl RCM takes a proactive approach. The platform introduces insurance intelligence upstream within daily workflows, allowing practices to identify and resolve issues before claims are submitted. By surfacing eligibility data, coverage limitations, missing documentation, and imaging quality concerns early in the process, practices can avoid delays, downcodes, and denials that often impact cash flow and operational efficiency.
Dental insurance workflows have historically been fragmented and labor-intensive. Practices frequently rely on multiple disconnected systems to complete different stages of the claims process. Insurance verification may occur manually or through separate portals, clinical imaging and documentation are stored elsewhere, and claims preparation often requires another software platform entirely. Staff members are forced to move between systems, manually compiling information and verifying coverage details before submitting claims.
This fragmented approach creates significant opportunities for errors. Claims may be submitted for procedures not covered by a patient’s insurance plan, required documentation can be overlooked, or supporting x-rays may fail to meet payer requirements. Even minor issues can result in claims being delayed, partially reimbursed, downcoded, or denied altogether. These inefficiencies cost dental practices valuable time and revenue while also increasing frustration among administrative staff and patients alike.
According to industry concerns heading into 2026, insurance-related challenges remain among the most pressing issues for dental practice owners. Delayed payments, low reimbursement rates, and claim denials continue to impact financial stability across practices of all sizes. Across the broader healthcare industry, claim denials cost providers an estimated $30 billion annually, underscoring the scale of the problem.
Pearl believes the key to solving these challenges lies in integrating revenue cycle management directly into clinical operations. The company’s new platform combines insurance verification, imaging analysis, clinical documentation, and clean claim preparation into one connected ecosystem.
By embedding insurance intelligence at the point of care, Pearl RCM helps practices ensure that every patient encounter is “claim-ready.” Instead of discovering problems after submission, dental teams can proactively address missing x-rays, outdated imaging, insufficient documentation, or coverage gaps before treatment is completed.
One of the platform’s most significant differentiators is its foundation in FDA-cleared dental radiologic AI technology. Pearl has already established itself in the dental imaging space through AI-powered radiology tools, and Pearl RCM extends those capabilities into insurance and claims management.
The platform’s imaging intelligence enables real-time x-ray quality assessment at the moment images are captured. This feature helps practices avoid one of the most common causes of insurance delays and denials: poor-quality supporting documentation. Pearl’s AI can identify issues such as cone cuts, missing apices, poor exposure, or incomplete diagnostic images before they are attached to a claim.
Additionally, the system automatically selects clinically relevant AI-annotated images for claim attachments, reducing manual effort and helping ensure that submitted claims contain the strongest possible supporting evidence. The platform also includes AI-generated clinical narratives based on what the imaging actually demonstrates, helping practices create more detailed and payer-specific documentation.
Ophir Tanz, founder and CEO of Pearl, said the company developed Pearl RCM to eliminate the inefficiencies that have long burdened dental providers.
Dental practices lose enormous time and revenue navigating disconnected insurance workflows,” Tanz said. “Pearl RCM addresses claim issues proactively, before they become denials. Moving insurance verification and claim readiness to the point of care gives practices clarity and predictability that they’ve never had, and patients get a billing experience that finally matches the quality of their clinical care.”
Early customer feedback suggests the platform is already delivering measurable operational improvements.
Christine Marcin of Ballard Dental Partners said Pearl’s technology has significantly reduced administrative workload within her organization.
Pearl saves our team hours daily by both auto-verifying insurance and making coverage details clear and easy to find,” Marcin said. “The new RCM toolset goes a big step further, ensuring we have the right evidence, codes, and documentation to clear claims without insurance back and forth.”
According to Pearl, early deployments across select dental practices have generated substantial efficiency gains. Practices using Pearl RCM have reported saving up to 35 staff hours per week on eligibility verification and claim creation processes. Additionally, practices have experienced up to 80% fewer downcodes and denial issues tied to incomplete or non-compliant supporting documentation.
The company also reports that practices have achieved up to a twofold improvement in first-pass clean claim submission rates, helping providers receive reimbursement faster while reducing administrative rework.
Pearl RCM includes several integrated features designed to streamline every stage of the revenue cycle.
Precheck™, one of the platform’s flagship capabilities, automatically confirms patient eligibility and code-level benefits information across four clearinghouses and more than 300 insurance carrier portals. Remaining benefits, frequency limitations, and coverage details are displayed directly within appointment schedules and patient records, reducing time spent contacting payers and helping practices minimize patient billing surprises.
Another feature, Claim Actions, provides proactive alerts within scheduling workflows. These alerts notify teams about missing or outdated x-rays, image quality concerns, and insurance coverage gaps ahead of appointments. By linking insurance requirements with clinical workflows, practices can address problems before claims are generated.
Imagecheck™ focuses specifically on diagnostic imaging quality. The AI-driven tool analyzes x-rays in real time and flags defects that could compromise reimbursement eligibility. By identifying image quality issues at the point of capture, practices can retake images immediately rather than discovering problems after claim submission.
Pearl also announced additional capabilities currently in development. A forthcoming Clean Claim feature will automate the creation of stronger insurance claims through tools such as Auto-Attach, which automatically selects and attaches the most relevant AI-annotated images for each procedure. Another capability, Auto-Remark, will generate customized clinical narratives and payer-specific remarks to strengthen claim submissions.
The company is also preparing to launch Claim Insights, an analytics tool that will help practices evaluate reimbursement trends across procedures, providers, locations, and insurance carriers. By identifying recurring causes of denials or lost revenue, practices can make operational adjustments that improve long-term financial performance.
For dental practices, Pearl RCM represents a broader shift toward intelligent automation within healthcare administration. By combining AI-driven imaging analysis with insurance workflow automation, the platform aims to reduce the disconnect between clinical care and financial operations.
The impact extends beyond operational efficiency. Insurance confusion and unexpected patient bills are major contributors to declining patient trust within dentistry. By improving transparency around benefits coverage and treatment costs, Pearl hopes to help practices deliver a more predictable and patient-friendly financial experience.
As dental practices continue searching for ways to improve profitability while reducing administrative burden, technologies like Pearl RCM could play a significant role in shaping the future of dental revenue cycle management.
Pearl RCM is available immediately for dental practices seeking to modernize insurance workflows, improve reimbursement outcomes, and create a more streamlined operational environment powered by AI.
About Pearl
Pearl is a dental AI company committed to enhancing how patient care is delivered. Founded in 2019 by a team with decades of experience developing successful, enterprise-grade computer vision solutions, Pearl introduced the first-ever FDA-cleared AI capable of reading and instantly identifying diseases in dental x-rays. With regulatory clearance in 120 countries, Pearl’s AI assists dentists in making precise clinical decisions and effectively communicating with patients, thereby transforming the dental care experience worldwide. As dentistry’s global AI leader, Pearl is committed to the ongoing innovation of robust, accessible AI tools that improve patient health outcomes and build greater trust in dental medicine.
