Billing, benefits verification, and prior authorization are important parts of healthcare work. Providers must check that procedures and medicines are covered by insurance plans. They also need to follow rules and get approvals on time to avoid denied claims and late payments. Usually, these tasks involve typing in data by hand, talking with many insurance companies, and working with different hospital or clinic systems like Electronic Health Records (EHR) and Practice Management Systems (PMS).
Providers face a lot of work in these tasks. For example, doctors and clinic staff spend about 28 hours a week on paperwork. This can cause stress and makes less time available for patient care. Also, healthcare organizations lose over $260 billion every year because of insurance claim denials and delays. These problems happen due to mistakes, missing authorizations, or slow checks. This causes frustration for both staff and patients, who may face delays in care, billing confusion, and missed treatments.
A virtual workforce powered by AI means a group of automated software programs that can do complicated tasks usually done by people. These technologies use methods like Robotic Process Automation (RPA), natural language processing (NLP), generative AI, and agentic AI to handle processes such as benefits checks, prior authorizations, billing, and claim handling. Unlike simple automation that only repeats actions, these AI systems can think, make choices, and work with different healthcare platforms all day and night.
Mandolin is one example. It uses AI agents in over 700 clinics across the United States. These agents help with benefits verification and prior authorizations for special medicines used to treat illnesses like cancer and Alzheimer’s disease. The AI agents work like full-time employees around the clock, cut down the time needed for paperwork from days to hours, and allow patients to start treatment weeks earlier.
One main way AI helps healthcare providers is by improving billing and revenue cycle management (RCM). Studies show that about 46 percent of hospitals in the U.S. use AI in their RCM processes. Around 74 percent use some form of automation like RPA to make billing, coding, and claims easier.
AI billing systems check claims automatically for correct codes, rules, and full details before sending them. This checking lowers the number of denied claims and delays caused by missing or wrong information. For example, a hospital in Louisiana saw a 15 percent rise in payments, which meant $2.28 million more cash, after using AI solutions. These systems keep track of payer responses, write appeal letters when claims are denied, and provide full audit records to meet rules like HIPAA.
AI also lessens the work for billing departments by doing repeated data entry and following up on claims. Staff become more productive. Auburn Community Hospital said their coder productivity went up 40 percent and cases waiting for final bills dropped by 50 percent after adding AI. Automating these tasks helps providers get paid faster and more accurately without hiring more staff.
Benefits verification and prior authorizations often slow down care and lower provider income. Specialty drugs make up more than half of U.S. prescription costs and 75 percent of new drugs in the FDA’s pipeline. These drugs often need many prior authorizations because they are expensive and complex. Doing this work by hand can take weeks or months, which delays patient treatment.
AI virtual workforce systems can check patient insurance benefits and complete prior authorization forms faster and more accurately than manual work. For example, Mandolin’s AI agents get the needed patient clinical data, fill out forms electronically, send requests, and follow up in real time with insurers.
Providers report good results after using AI in prior authorizations. A health network in Fresno cut prior authorization denials by 22 percent and other denials by 18 percent. They saved 30 to 35 hours of staff work each week. Across the country, automated prior authorization speeds up approval times by up to 70 percent, lowers error rates to 0.21 percent, and helps patients start therapies weeks earlier.
Quick and correct billing and prior authorization affect patient care directly. When these hurdles are reduced, patients get treatments faster. Less delay in prior authorization is especially important for cancer and other chronic illnesses where fast treatment is critical.
AI virtual workforce tools also help patients stay involved by sending real-time messages about costs and appointment reminders through automated calls, texts, or virtual assistants. These tools lower no-shows and help patients keep their appointments, which benefits both health and provider income.
At the same time, staff feel less stressed and tired because AI takes over repetitive clerical work. Up to 90 percent of doctors say too much paperwork causes burnout, but automation gives them more time to focus on patient care or important decisions, improving job satisfaction.
AI virtual workforce solutions work best when they connect smoothly with existing healthcare IT systems. These systems work with EHRs, PMS, and billing systems to keep patient and financial data linked, avoid duplicate errors, and make workflows smoother across departments. Some AI platforms have connected with over 1000 systems, helping providers keep data flow together for accurate and timely billing and authorizations.
Automation is not just for billing and authorizations. It also helps with scheduling appointments, reminding patients, and managing supplies. AI scheduling helps assign staff better and cut patient wait time. It also lowers no-shows with personal reminders. Predictive analysis helps hospitals plan for patient admissions, discharges, and resource needs, improving how the hospital runs.
AI platforms work 24/7 without breaks, so healthcare groups can handle busy times without hiring many extra staff. This ability to grow is important because patient numbers and insurance claims can change a lot. For example, AI in billing and claims can improve return on investment (ROI) by 30 percent up to 200 percent in the first year.
Even with automation benefits, AI in healthcare must follow strict privacy and safety rules. Systems that handle revenue cycles and authorizations use strong HIPAA-compliant methods, encrypted data sharing, and secure access. Some prior authorization services are done by centers with trained staff, sometimes overseas, which improves efficiency while keeping to rules.
Human oversight is still very important. AI can handle large amounts of data and routine jobs well, but tough billing disputes, financial planning, and sensitive patient talks need people’s knowledge. Using AI together with trained staff ensures results are correct, fair, and personalized when required.
More healthcare organizations in the U.S. are using AI virtual workforce solutions with good results. Mandolin’s founders, Will Yin and Rohit Rustagi, moved from medical jobs to work on improving specialty drug access. Their system helps over 250,000 new patients every year and cut administrative time from days to hours in more than 700 clinics.
Hospitals like Auburn Community Hospital and Banner Health have also seen big benefits from AI in billing and revenue management. Auburn lowered its billing backlog by half and raised productivity by 40 percent with AI tools. Banner Health uses AI bots to find insurance coverage and write appeal letters, helping manage denials without extra staff.
For prior authorization outsourcing, companies like Staffingly, Inc. combine Indian healthcare admin experts with AI to cut staffing costs by up to 70 percent for U.S. providers. They also improve speed and accuracy.
Healthcare leaders in U.S. medical practices and clinics see clear benefits from using AI-powered virtual workforce platforms. These tools improve billing accuracy, lower costly denials, speed up benefits checks and authorizations, and reduce manual work for staff. The result is better cash flow, faster treatment for patients, and more efficient operations.
IT managers face the challenge of choosing AI solutions that fit well with current EHR, billing, and practice management systems. They must keep security and compliance strong while getting the most from automation. For administrators and practice owners, using AI-driven automation helps control rising admin costs, reduce staff burnout, and create a care experience more focused on patients.
Switching to AI-powered administration is no longer just a choice. It is needed to meet changing healthcare needs, payment rules, and patient demands in today’s complex U.S. healthcare system.
Mandolin’s AI agents aim to close the time-to-access for specialty therapies treating conditions like cancer and Alzheimer’s by automating and speeding up approval workflows, thus helping patients get access to expensive and complex specialty pharmaceuticals faster.
They act as full-time employee equivalents by reading, reasoning, and completing tasks such as benefits verification, prior authorization, and billing across multiple systems, working 24/7 to efficiently handle administrative workflows.
Specialty drugs are costly, take weeks or months for approval, involve complex workflows, and constitute over half of U.S. prescription spend and 75% of the FDA drug pipeline, overwhelming existing healthcare systems.
Healthcare providers report reducing administrative tasks from days to hours, increasing revenue, lowering manual labor overhead, and getting patients on therapy weeks earlier than traditional processes.
Will Yin and Rohit Rustagi, both with medical backgrounds and personal experiences with family members struggling with specialty drug access, founded Mandolin to solve systemic bottlenecks in healthcare delivery.
Unlike traditional tools, Mandolin’s AI agents operate autonomously as a scalable, 24/7 virtual workforce with higher accuracy, performing multi-step, complex workflows end-to-end rather than just supporting human tasks.
Mandolin’s AI agents are live at over 700 clinics nationwide, serving more than 250,000 new patients annually, including large infusion providers and specialty pharmacies.
Multi-agent AI enables automation of complex, multi-step healthcare workflows end-to-end, allowing Mandolin’s agents to collaborate and execute tasks comprehensively without manual intervention.
By automating administrative steps traditionally done manually, Mandolin accelerates access to specialty therapies, enabling patients to start treatments weeks earlier than before.
They recognized that scientific advances were not enough without system-level improvements; the real bottleneck was inefficient processes, which AI technology like Mandolin’s platform could effectively address.
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