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Case Study

To optimize revenue cycle performance, we implemented a comprehensive automated payment processing and reconciliation system powered by machine learning and OCR technologies. This solution enabled high-accuracy extraction and processing of paper-based remittances and transactions, eliminating manual entry and significantly accelerating the payment posting workflow. By integrating intelligent automation for suspense account management and enforcing weekly and monthly reconciliation protocols, we achieved 99.9% automated postings with near-zero errors. The system scaled seamlessly to handle over $500 million in monthly transactions, ensuring operational accuracy, regulatory compliance, and reduced days in A/R. This transformation marked a major step toward full financial automation, delivering

measurable efficiency and cost savings at scale.

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