Kyndryl Automated Document Processing for Insurance Claims

Kyndryl Automated Document Processing is a scalable, GenAI-powered solution designed to transform how enterprises manage document-intensive workflows across industries. Built on AWS technologies, it automates the ingestion, extraction, classification, and analysis of both structured and unstructured documents—reducing manual effort, improving accuracy, and accelerating decision-making.

This solution supports a wide range of use cases, from finance and healthcare to legal and public sector operations.

For the insurance industry, it modernizes and streamlines the claim lifecycle—especially the First Notice of Loss (FNOL) process—by enabling real-time document validation and intelligent triage, helping insurers reduce leakages, detect fraud, and enhance customer satisfaction.

Built on AWS, the solution leverages:

• Amazon Textract extracts structured data from scanned documents, eliminating manual data entry and enabling faster processing.
• Amazon Comprehend identifies key phrases, entities, and PII from unstructured text, enhancing compliance and data security.
• Amazon Bedrock (Titan FM) powers document classification and summarization, enabling intelligent triage and routing.
• Amazon SageMaker supports advanced analytics and fraud detection using pre-trained and custom ML models.
• Amazon Rekognition analyzes image quality and content for classification and tagging.
• Amazon Aurora PostgreSQL stores encrypted data, with AWS KMS and AWS Secrets Manager managing encryption keys.
• AWS Connect enables IVR-based document submission and interaction, enhancing customer experience.
• Amazon GuardDuty scans uploaded documents for vulnerabilities, ensuring secure processing.

This solution supports 24/7 availability, real-time processing, and human-in-the-loop validation for low-confidence predictions. It provides seamless integration with existing systems and scales effortlessly to meet peak demand.