Claims and Underwriting Document Automation

VigourSoft replaces manual or legacy document processes with an event-driven pipeline built on Amazon Textract, triggered automatically when documents land in Amazon S3. Claims forms, ACORD applications, medical bills, and loan documents flow through Lambda-based validation logic, with Amazon Comprehend available for downstream entity extraction and classification, and a human-review queue for extractions below a configurable confidence threshold.

Scope of Work:

• Document inventory and extraction-requirements workshop (form types, tables, volume)
• S3-triggered Textract pipeline design and Lambda function development
• Confidence-threshold tuning and human-review workflow configuration
• Optional Amazon Comprehend integration for entity extraction/classification
• Load testing against representative document volume and accuracy validation

Deliverables:

• Deployed, event-driven Textract processing pipeline
• Human-review workflow for low-confidence extractions
• Extraction accuracy validation report against representative document sets
• Operational runbook and monitoring/alerting configuration

Target Audience: Insurance carriers, claims organizations, and lending institutions still relying on manual data entry or legacy tools for claims forms, policy applications, medical bills, or loan documents, looking to automate extraction while keeping a human check on edge cases.

Outcome Summary: Document intake runs on an automated pipeline that extracts structured data the moment a document is uploaded, with low-confidence cases routed to a human reviewer instead of the entire batch. This cuts manual data entry down to the exceptions that actually need a person.