Automating End-to-End Insurance Claim Triage with Vision & Document Intelligence
Legacy automobile insurance claim workflows were plagued by manual data entry, human error in police report transcription, and slow damage assessments that took 3–5 business days.
I architected a 100% serverless, event-driven ingestion and decision engine on AWS. When photos and police reports land in Amazon S3, an AWS Lambda orchestrator dispatches parallel workloads to Amazon Rekognition (for multi-angle vehicular damage classification) and Amazon Textract (for structured policy and police report OCR), feeding extracted signals into Amazon EventBridge for instant fast-track approval or adjuster escalation.
▸ View Raw ASCII Dataflow Topology
Automating vehicular damage extraction and optical document verification eliminated initial manual review backlogs. Validated claims with clear liability parameters are now fast-tracked in real time, drastically elevating customer retention and operational efficiency.
By adopting a pure pay-per-execution serverless model with Amazon Lambda and S3, the platform scales dynamically during high-incident storms without running costly idle EC2 clusters during off-peak hours.