Healthcare providers face challenges in managing billing discrepancies, known as glosas, which can lead to revenue loss and inefficiencies in the revenue cycle. Manual analysis of these discrepancies is time-consuming, prone to errors, and often results in delayed or incomplete recovery of payments.

KURI offers an AI-powered platform designed to automate the analysis of healthcare billing discrepancies, enabling providers to identify and address potential glosas before they impact revenue. The platform uses machine learning algorithms to analyze contracts, business rules, authorization data, billing history, and glosa records to predict and validate discrepancies. KURI also provides Business Process Outsourcing (BPO) services for glosa management and reconciliation, offering a comprehensive solution to improve recovery rates and accelerate the collection period.

AI-driven validation of billing data to identify potential glosas before submission.

Automated analysis of glosas with suggested appeals based on business rules.

BPO services for end-to-end glosa management, including reconciliation and appeals.

Detailed analytics and business intelligence dashboards for glosa and accounts receivable management.

Item-level reconciliation and settlement of credits.

Integration with existing billing systems via API.

Customizable rules engine to adapt to specific contract terms and payer requirements.

KURI primarily serves healthcare providers, including hospitals, clinics, and billing companies, seeking to optimize their revenue cycle management and reduce financial losses due to billing discrepancies.

KURI generates revenue through a combination of software licensing fees for its AI platform and service fees for its BPO offerings.