Penguin Ai, the company building an AI workforce for healthcare administration, today announced the launch of Intelligent RCM, an AI workforce built for revenue cycle teams to reduce denials, recover underpayments, and shorten the time from care delivered to payment received. AI workers help health systems and RCM companies prevent denials and recover revenue, showing the evidence behind every recommendation.
Intelligent RCM extends Penguin Ai's work in healthcare administration into the revenue cycle, applying the same healthcare-native, governed AI to the claims workflows that determine whether organizations get paid for care they have already delivered. The AI workers carry the work of building the case: pulling the evidence, checking the claim, drafting the appeal. Specialists keep the judgment and get their hours back.
Denials, underpayments, and rework cost payer and provider teams money and time. The tools built to fix them have mostly added queues. Specialists spend their days reassembling evidence they already understand and chasing deadlines across systems that don't talk to each other.
"Behind every denial is a patient waiting while two organizations argue about a form, and a specialist spending her afternoon hunting for evidence she already knew existed," said Fawad Butt, CEO of Penguin Ai. "We built Intelligent RCM to stop the preventable denials before the claim goes out and to put the evidence behind every action it recommends."
Intelligent RCM connects three functions that revenue cycle teams have bought and run as separate tools.
Pre-Submission Review examines every claim before the 837 transmits, checking eligibility, authorization, coding, medical necessity, and payer-specific policy. Each finding comes with evidence behind it, recommended fix, and dollars at risk. Specialist can resolve, dismiss, reassign, or escalate, and cleared claims collect in queue ready for export.
Denials, Appeals and Recovery starts when remittance data comes in. The AI worker classifies every denial by root cause and routes it to path that fits it, whether corrected claim, appeal, peer-to-peer, or documented closure. It ranks work by recoverable value, days to deadline, win probability, and audit risk, so highest-value cases surface first. Payer status and 835 reconciliation follow each case through to payment.
Payment Integrity identifies underpayment and variance against contract and fee-schedule terms, showing calculation behind each finding and closing loop to reconciled outcome.
What makes Intelligent RCM different is explainable and human-controlled at every step. Each recommendation carries evidence behind it, and immutable audit trail records what specialist does. Platform is glassbox. Every finding shows its evidence and reference data behind it, and where data falls short, it says so. People stay in control. AI worker produces strong first draft, specialist owns review and final approval.
About Penguin Ai
Penguin Ai builds an AI workforce for healthcare administration. Its AI workers take on prior authorization, medical coding and risk adjustment, claims, appeals, payment integrity, and revenue cycle work for health plans, providers, and risk-bearing organizations, with human in loop at every step and glassbox reasoning behind every recommendation.
