Frequently Asked
Questions

VoiceCare AI is an agentic AI platform that automates the healthcare communication and revenue cycle end to end - from patient intake and scheduling to benefit verification, prior authorization, and claims and denials. Its AI agent, Joy, executes workflows by talking to patients and payers, navigating payer portals autonomously, and bridging legacy systems across voice, SMS, web chat, web API, and fax, integrated natively all within your EHR.

Go deeper: An Executive Guide to the Autonomous Revenue Cycle

Joy is VoiceCare AI's autonomous AI agent, the reasoning engine behind the platform. Rather than simply processing data, Joy handles patient and payer conversations and portal navigation, choosing the most efficient channel for each task: connecting directly to payer APIs, interacting with payer AI agents, digitizing faxes, and handling voice conversations for RCM workflows. Joy standardizes eligibility, benefits, and claims data so your team can build reliable patient experiences without managing payer infrastructure. Additionally, Joy acts as a customized Voice AI agent for inbound and outbound interactions, with seamless modality transitions between voice, SMS, and web chat. Joy arrives pre-trained on medical, dental, and specialty RCM workflows.

Traditional RCM models rely on manual headcount to manage call and claim volume. VoiceCare AI automates this work with an autonomous agent that operates 24/7, maintaining consistent accuracy on repetitive tasks and enabling growth without the constraints of linear hiring. You maintain full oversight - with every action Joy takes logged and transcribed - allowing your team to focus on high-value exceptions while decoupling revenue growth from headcount.

Go deeper: Beyond Labor Arbitrage: Why AI-sourcing is the new Outsourcing

Standard real-time eligibility tools return a limited thin, standardized response and miss the details that actually drive clean claims. Joy performs deep benefit code discovery - surfacing primary, secondary, and tertiary coverage plus granular details like remaining maximums, deductibles, and out-of-network benefits - by using multi-modal, multi-agents just working payer portals and phone lines the way a skilled biller would, not just querying a 270/271 feed.

Go deeper: Automating Eligibility Verification to Reduce Lobby Wait Times

Agentic AI refers to AI that autonomously completes multi-step work rather than just answering questions or storing data. In RCM, an agent like Joy independently connects via API, interacts with payor agents, digitizes faxes, and places payer calls, navigating IVR menus and portals to gather data, submit authorizations, and escalate exceptions to humans - completing whole workflows end to end instead of assisting a person through each click.

Go deeper: The Invisible UI: Why the Best Interface for a Medical Admin is No Interface at All

VoiceCare AI automates the most time-consuming, repetitive and mundane workflows across the revenue cycle: • Real-time benefit verification and insurance coverage discovery • End-to-end prior authorization including document submission, automated portal navigation, and claims status tracking; • Claims and denials - status checks, rejection-code analysis, and deep reasoning-based appeals. These workflows can be run synchronously or asynchronously using our orchestration platform. You can run tasks individually, such as checking eligibility for a single patient, or as a full orchestration, where Joy autonomously links multiple steps like verifying benefits, securing authorizations, and updating your EHR into one continuous workflow.

Most preventable denials result from eligibility gaps and missing authorizations identified too late in the revenue cycle. By executing accurate benefit verification and securing prior authorizations early - and by pinpointing the root causes of claim rejections before resubmission - VoiceCare AI eliminates the backend processing errors that drive systemic denials, thereby protecting net collection rates and accelerating reimbursement.

Go deeper: The Zero-Touch Claim: How Backend AI Agents Resolve Denials Before Humans See Them

Yes. Days in AR is a throughput problem, not just an accounting metric. To reach sub-30 days, you must simultaneously reduce decision latency (payer response time), touch time (staff manual effort), and rework rate (denials). VoiceCare AI drives this by deploying autonomous agents that execute workflows continuously, eliminating queue times between steps and proactively addressing issues that would otherwise age a claim.

Go deeper: The DAR Formula: Why Sub-30 Day AR is Only Possible via Autonomous Agents

VoiceCare AI supports the prior authorization workflow by automating manual tasks, including identifying required clinical documentation, submitting requests through portals or fax, and tracking status updates frequently. By managing these time-consuming follow-ups, the platform reduces the manual friction that causes authorizations to sit idle, allowing your team to focus on complex cases that require human judgment.

Go deeper: How Manual Prior Auths Are Directly Reducing Your Personal Income · Continuous Authorization in Long-Term Care

Yes. For dental groups and DSOs, providing 24/7 AI reception across voice and SMS. It's built to scale insurance verification across many locations without adding proportional back-office staff.

Go deeper: Scaling DSOs with Intelligent Insurance Verification APIs and AI Agents · Missed Calls Cost Dental Practices $$$

Joy is pre-trained on the payer rules and clinical taxonomies of a wide range of specialties, including orthopedics, oncology and infusion, cardiology, radiology, gastroenterology, neurology, urology, rheumatology, dermatology, behavioral health, physical and occupational therapy, pain management, ENT, nephrology, urgent care, optometry, pediatrics, and more. Each specialty gets automation logic matched to its authorization patterns and code sets. See our full list of supported specialties and workflows at voicecare.ai/solutions.

Yes. The platform is designed to scale from a single specialty practice to large RCM enterprises, DSOs, and integrated delivery networks. Because agents run concurrently, VoiceCare AI can absorb large call and claim volumes and handle multiples of your current throughput without a proportional increase in staff.

Go deeper: High-Velocity RCM: Managing 500+ Daily Claims Without a 50-Person Billing Team

Yes. Unlike a traditional front desk that can struggle with hold queues during peak call volumes, Joy answers inbound calls concurrently across voice and SMS, so patients aren't put on hold and after-hours calls don't go to voicemail. This protects both patient access and the revenue that leaks when calls go unanswered.

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VoiceCare AI breaks the 1:1 link between volume and headcount. By deploying an agent fleet to absorb payer calls, status checks, and appeals, RCM enterprises can scale their portfolio while keeping back-office costs flat - no hiring or training bottleneck, and no revenue trapped in manual status calls.

Go deeper: Why Automating Payer Calls is Your Best Retention Strategy

Yes. VoiceCare AI integrates natively with your EHR and CRM, with support for platforms including Epic, athenahealth, eClinicalWorks, NextGen, Greenway, Veradigm, ModMed, Netsmart, CareStack, Denticon, Dentrix Ascend, Cloud 9, and Open Dental. Joy reads and writes to your system of record so results land directly in your existing workflow.

VoiceCare AI provides universal reach with connectivity to more than 1,000 payers, including Aetna, Anthem, Cigna, Humana, UnitedHealthcare, UMR, Delta Dental, Guardian, Blue Shield of California, Quantum Health, and many others across medical and dental lines.

Joy is multi-modal by design, so it bridges systems that don't offer clean APIs. It navigates payer portals autonomously, places and reasons through phone calls, exchanges SMS and web chat, calls web APIs for real-time data, and digitizes and interprets faxes - meaning it can operate even where the only interface is a phone tree or a fax line.

Go deeper: The Physics of a Phone Call: How Our ML Engine Navigates Complex IVR Menus

VoiceCare AI is built to centralize and secure payer access rather than relying on the sticky-note-and-spreadsheet approach common in billing offices. This matters most during acquisitions and onboarding, when fragmented logins across newly acquired practices slow the centralized billing office - VoiceCare is designed to unify that access from day one.

Go deeper: Who Has the Aetna Password? Ending the Chaos of Onboarding New Practices · Why Generic Password Managers Break in Healthcare

VoiceCare AI is designed to deploy on top of your existing EHR and payer infrastructure rather than replacing it, so onboarding avoids multi-year IT migrations. For exact timelines and the credentials and access needed for your environment, the fastest path is to schedule a demo at voicecare.ai/schedule-demo and speak with the team about your specific systems.

VoiceCare AI does not rely on phone calls alone. Joy chooses the most efficient channel for each task: connecting directly to payer APIs, interacting with payer AI agents, navigating payer portals and digitizing faxes, and placing a voice call when information is only available by phone. VoiceCare AI connects to more than 1,000 payers across medical and dental lines. If an AI call encounters an obstacle, Joy seamlessly pivots to alternative modalities including fax, APIs, or payer agents, backed by VoiceCare AI's human-in-the-loop workflow to ensure every RCM task is successfully completed.

CMS-0057-F, the CMS Interoperability and Prior Authorization final rule published in January 2024, requires impacted payers (Medicare Advantage organizations, Medicaid and CHIP programs and their managed care plans, and qualified health plans on the federal exchanges) to decide prior authorization requests within 72 hours for urgent requests and 7 calendar days for standard requests, give a specific reason for every denial, and offer a FHIR-based Prior Authorization API, with the API requirements generally starting January 1, 2027. The rule does not cover drug prior authorizations or payers outside those programs, so portals, phone calls and fax will remain part of prior authorization work for many payers. VoiceCare AI's agent, Joy, is built for that mixed environment: it connects to payer APIs where they exist and navigates portals, phone calls and faxes where they do not.

VoiceCare AI reports industry-leading accuracy of 99.7% for benefit verification, validated with customers such as OMS360, which verifies over 50 medical and dental codes daily across 29+ locations. For complex clinical exceptions, a human-in-the-loop safety net triggers specialist review, targeting 99.9% precision at the speed of an autonomous workforce.

Yes. VoiceCare AI uses a human-in-the-loop model: when Joy encounters a complex or ambiguous clinical exception, it routes the case to a specialist for review rather than guessing. This is a deliberate design choice - the goal is high-precision handoffs, so automation handles the routine at scale and humans handle judgment calls.

Go deeper: When Bots Break: Designing High-Precision Handoffs for Autonomous RCM

Yes. Every agent action is logged, transcribed, and audit-ready. Each call Joy makes is recorded and transcribed, giving you a verifiable trail back to the exact moment a payer response was captured - you keep 100% oversight with none of the manual labor. That traceability is what makes the output usable for compliance and audit.

Go deeper: Designing for Trust: How Voice AI in RCM Should Sound, Act, and Fail

VoiceCare AI is engineered for natural, human-level phone reasoning rather than the staccato, high-latency speech typical of older voice bots. Customers describe Joy's voice as smooth and natural - one physician even compared a payer conversation with Joy to talking with a person, which matters because payer and patient calls are negotiated, audited interactions, not passive data exchanges.

Joy captures payer responses as recorded, transcribed, structured data and cross-references them against EHR information, so results are verifiable rather than taken on trust. Reasoning-based logic means that when a claim fails, Joy identifies the underlying cause and fixes the data instead of blindly resubmitting - reducing the repeat errors that create systemic denials.

VoiceCare AI customers have described Joy's calls on record. Dr. Charles A. Bush-Joseph of Midwest Orthopaedics at Rush, where VoiceCare AI handles prior authorizations and benefits verification, said Joy's voice sounded smooth and natural and compared the experience to an ordinary conversation, in contrast with the staccato, slow-responding voices of other AI agents he had used. You can watch his full video testimonial on the Midwest Orthopaedics at Rush case study, or schedule a demo at voicecare.ai/schedule-demo to see Joy in action and hear a live call during the demo.

VoiceCare AI records and transcribes every call Joy makes and logs every action, so your team can trace each result back to the moment a payer response was captured. Joy reads from and writes to your EHR or practice management system, so results land directly in the workflow your staff already use, and complex or ambiguous cases are routed to a human specialist for review.

VoiceCare AI's agent, Joy, handles both parts of a payer call: it navigates the payer's automated phone menu (IVR) and then holds the conversation with the live representative to capture benefits, authorization or claim details. Joy is built for human-level phone reasoning and chooses the most efficient channel for each task, so it uses payer APIs, portals or fax when those are faster than a call. Every answer Joy captures is recorded, transcribed and cross-referenced against your EHR data.

Yes. VoiceCare AI is HIPAA-compliant and SOC 2 Type II attested, independently verified to meet healthcare data-security standards. The platform enforces multi-factor authentication across systems, protects its network with firewalls and intrusion detection and prevention, and performs regular backups of production data. Full details are on the security page at voicecare.ai/security.

VoiceCare AI protects PHI with enforced multi-factor authentication, network firewalls, intrusion prevention and detection, and regular production backups, under its SOC 2 Type II attested and HIPAA-compliant program. Voice data is handled with security controls appropriate to sensitive healthcare information.

Go deeper: Security at the Edge: Encrypting Voice Data

VoiceCare AI is an agentic AI company serving healthcare revenue cycle management. It raised $4.54M in seed financing with a strategic investment from Mayo Clinic, and runs a pilot with Mayo Clinic to automate back-office work. It's backed and trusted by partners including Mayo Clinic, Optum, and Cencora.

VoiceCare AI reports outcomes including roughly 500 hours saved per 1,000 payer phone calls, up to 70% higher ROI by shortening the time from claim submission to reimbursement, about 30% better quality by eliminating manual errors, and the ability to handle far greater claim volume with no staff increase. One customer, OMS360, saved 1,377 hours in a month across 29+ locations.

Go deeper: The Manual Claims Tax: Why Your EBITDA is Leaking (and How to Fix It)

The fastest way to evaluate VoiceCare AI is to schedule a demo at voicecare.ai/schedule-demo. You can also estimate impact with the ROI tool at voicecare.ai/pricing, or explore the platform's skills in depth at voicecare.ai/solutions.

VoiceCare AI records and transcribes every call Joy makes, providing a complete and verifiable audit trail back to the exact moment a payer response is captured. On both payer and patient calls, Joy clearly identifies itself as an AI assistant at the start of the conversation to ensure full transparency and compliance with call disclosure standards.

VoiceCare AI enters into a Business Associate Agreement (BAA) with every covered entity and healthcare customer prior to onboarding, ensuring full HIPAA compliance and defining the protection of protected health information (PHI) across all AI workflows and integrated systems.

VoiceCare AI protects patient data under a HIPAA-compliant, SOC 2 Type II attested program: multi-factor authentication is enforced on all systems, firewalls and intrusion detection and prevention systems protect the network, and production data is backed up regularly. Voice data is handled with security controls suited to sensitive healthcare information. Patient data is not used to train models; anonymized datasets are used for model training instead.

VoiceCare AI is priced on output rather than headcount: pricing is driven by task capacity and clinical complexity, under performance-based tiers. You can estimate the difference against your current manual process with the ROI calculator at voicecare.ai/pricing, which compares your current cost per call with VoiceCare AI's cost.

VoiceCare AI is designed to scale from a single specialty practice to large RCM enterprises, DSOs and integrated delivery networks. The ROI calculator at voicecare.ai/pricing lets you enter your patient volume, call volume, staff count, hours and hourly rate to see where automation pays off for your organization.

VoiceCare AI deploys on top of your existing EHR and payer infrastructure rather than replacing it, so getting started does not require a multi-year IT migration. Joy can run a single task, such as checking eligibility for one patient, or a full orchestration that links benefit verification, prior authorization and EHR updates, so teams can start with one workflow and expand from there. Go-live timing depends on the case, typically taking a few days if integrations are already set up to a few weeks.