Health Claims at Production Scale

Health insurers are facing growing claims volumes, complex documentation, and increasing pressure to process claims faster without adding to manual workloads. Scaling claims operations requires more than automating individual tasks. It calls for a connected approach to intake, document processing, decision-making, and exception handling.

This whitepaper examines how a leading health insurer in Vietnam and a leading life insurer in the Philippines use the Neutrinos AI-native claims platform to manage claims at production scale. Explore how AI in healthcare claims processing brings together document intelligence, business rules, AI-led adjudication, and exception handling on one platform to automate predictable claims and route complex cases for human review.

What You’ll Learn from This Whitepaper

• Process claims at scale: How automated medical claims processing helps insurers handle high claim volumes across cashless, reimbursement, major medical, and life claims.
• Accelerate claims decisions: How to improve claims processing time, with one insurer achieving a two-day median turnaround from intake to decision.
• Automate document handling: How medical claims processing automation classifies and extracts claim documents, achieving 98% field-level extraction accuracy in the Philippines deployment.
• Automate predictable claims: How healthcare claims automation and AI-led decisioning enable 58.8% of claims to move from intake to decision with zero human touch in the Philippines deployment.
• Route exceptions for review: How insurance claims processing automation combines business rules, AI agents, and human intervention to handle claims that need additional attention.

See what claims automation at production scale can mean for your operations. 

Download the whitepaper to explore the approaches, production results, and platform capabilities behind these two insurers' claims journeys.