Health Insurance Platform

Legacy health insurance systems slow down claim settlement speeds due to fragmented claim files and manual audits. Verification delays create backlogs and customer payout bottlenecks. Our challenge was to automate coverage parsing without losing auditor oversight.

We shadowed claim processing agents to trace audit holdups. We designed a side-by-side audit dashboard with clear, color-coded status exception flags that helps claims processing auditors verify exception overrides quickly without manual code cross-referencing.

We designed the strategy around an automated validation rule engine. Ingesting coverage rules and pre-flagging ICD-10 exceptions targets human verification focus onto complex anomalies, accelerating payouts.

We built a robust claim parsing engine using Python rule libraries integrated with RabbitMQ message queues. Isolating ingestion from presentation layers ensures peak load spikes do not degrade dashboard performance.

The enterprise platform successfully automated ingestion loops and rule matching. Explaining rule logic step-by-step next to exception flags allowed auditors to approve claims quickly, reducing error rates by 90%.