MD Clarity expands RevFind with agentic AI for provider underpayments

MD Clarity said Wednesday it launched a major expansion of RevFind’s agentic AI so provider organizations can automatically detect underpayments and denials, uncover root causes, and prioritize recovery opportunities from continuous audits of their revenue data.

Hospitals and clinics lose real money when a health plan underpays a bill or denies it, and the work of finding why often waits on someone to pull a report. MD Clarity is saying the next step is an agent that lives on the revenue data, answers questions in plain English, and keeps watching for money still owed. The aim is cash the provider already earned, not a new way to treat a patient.

On Wednesday, 30 September 2026, Seattle-based MD Clarity announced a major expansion of agentic AI in RevFind, which it calls its flagship product for provider revenue optimization. The dateline is Seattle. ACCESS Newswire carries the release and labels it a product announcement. MD Clarity calls itself a provider of revenue-optimization software. Agentic, in this release, means software that takes a next step on the revenue data, such as flagging money to recover, rather than only answering a question. A provider organization, here, is a hospital, a clinic, or a medical group that bills for care. Those lines are MD Clarity’s.

The company says the expansion is meant to help those organizations automatically detect underpayments and denials, uncover root causes, and surface and prioritize recovery opportunities, so reimbursement comes faster and more completely. An underpayment is a payment from a health plan that is less than the contracted rate. A denial is a claim the plan refused. Recovery, here, means going back for money the provider says it was already owed. Reimbursement is the cash that comes back on a bill. Those lines are MD Clarity’s.

The release says underpayments and denials lead to significant revenue loss and a substantial workload, and that revenue teams often wait on manual reports and data pulls before they can act. RevFind, it says, answers that wait with agentic AI that gives teams continuous, self-service access to sophisticated audits of their revenue data, and a faster way to decide from that data. A team can ask a question in plain English and get an answer, an analysis, and a visualization from its own data. The agent can work when someone asks, or in the background, watching for new developments and flagging revenue-uplift opportunities as they surface. Uplift, in that sentence, is money the company says is still sitting in the data. Those lines are MD Clarity’s.

The release lists five things RevFind is said to let a provider organization do. It can uncover trends and the root causes behind underpayments and denials. It can answer a plain-English question and return a visualization in seconds. It can let a team check a finding by seeing the method underneath it. It can automate dashboards and recurring reports on how each payer performs. A payer, here, is the health plan that pays the claim. It can prioritize opportunities so recovery moves faster across teams. Those five lines are MD Clarity’s.

Dan Freeman, chief executive of MD Clarity, is quoted in the release. He said finding an underpayment is only part of the challenge. Revenue-cycle and finance teams, he said, still spend too much time figuring out what is driving it and what to do next. The revenue cycle is the path from a bill to the cash a provider collects. He said RevFind brings agentic AI into that process, so teams can automate the investigation of revenue trends, identify root causes, and prioritize the opportunities that matter most. That quotation is his, as MD Clarity printed it. It is the company’s statement.

The about box describes the company. It says MD Clarity is an AI-powered software and services platform for the revenue cycle of healthcare provider organizations. The pieces it names are estimates and deposits before a visit, automated detection of the gap between what a payer paid and the contracted rate, benchmarking and scenario modeling of managed-care rates, and revenue recovery from start to finish. Managed care, here, is the contract that sets what a health plan pays a provider. Benchmarking is comparing those rates. The box says the software is aimed at revenue-cycle, managed-care, and finance teams, and that the aim is more cash. It says the company has spent a decade putting the complexity of managed-care agreements into the software, and that it serves more than 150,000 providers nationwide. More than 150,000 is the company’s count of providers. The release does not name them, and it does not say how many are hospitals. The site it prints is MDClarity.com. The media contact is Diana Nguyen, product marketing manager, at dnguyen@mdclarity.com. Those lines are MD Clarity’s.

The release describes a product expansion. It does not name a customer. It does not print a price. It does not print a dollar total for money recovered. It does not describe a regulatory clearance.

The picture is the RevFind Agent product screen from the announcement. A teal frame holds a dark dashboard: payer underpayment variance charts, recovery figures on the screen, and an agent panel answering a plain-English question about the top underpayments. It is the product interface. It is not a photograph of a billing office, and it does not print a calendar date.

In plain terms, MD Clarity said on Wednesday that RevFind’s agent can sit on a provider’s revenue data, spot underpayments and denials, explain the cause, and rank what to chase, including when nobody has asked it to pull a report. The 150,000-provider line is the company’s count. The release does not name a hospital that has used the new agent, and it does not put a dollar figure on money recovered.