KognitiveWorks - Revolutionizing Document Processing in P&C Insurance

KognitiveWorks is an advanced document processing and insights-generation platform specifically designed for the Property & Casualty (P&C) insurance industry. The platform leverages cutting-edge technology to streamline document handling, automate workflows, and provide actionable insights, ensuring that insurance carriers can efficiently manage their vast array of documents across multiple business operations.

Document Extraction and Workflow

KognitiveWorks is an Gen AI-powered platform designed to streamline and automate document processing across various departments and functions in Property & Casualty (P&C) insurance. By leveraging cutting-edge technology, KognitiveWorks transforms manual, labor-intensive processes into efficient, automated workflows.

  1. Ingestion
    • KognitiveWorks ingests a wide range of document types from multiple sources, including PDFs, Word files, Excel sheets, images (JPG, PNG), and web links. This allows the platform to seamlessly handle submissions, policy updates, risk assessments, claims operations, and legal documents.
    • These inputs can come from various stakeholders, including insureds, lawyers, brokers, or other insurance companies.
  2. Classification
    • Once ingested, documents are automatically classified based on their content. Whether it’s a Statement of Values (SOV), a claims report, medical bills, or legal notices, KognitiveWorks uses advanced AI to identify and categorize each document, ensuring efficient handling and reduced processing time.
  3. Data Extraction
    • The platform extracts key data from structured, semi-structured, and unstructured documents. For instance, it pulls critical information such as coverage details, loss histories, policy changes, or financial data. This ensures that all relevant information is captured with high accuracy, reducing manual entry errors.
  4. Next Best Action
    • After extraction, KognitiveWorks depending on the quality of extraction and defined rules performs the Next Best Action, enabling faster decision-making. Whether it’s routing the document to the appropriate department, triggering follow-up actions, or generating automated responses, this feature ensures efficient processing across underwriting, operations, claims, and legal teams.

The processed data is seamlessly integrated into the insurer’s systems, including policy administration, claims, billing, finance, and legal departments. The output can be formatted into JSON, CSV, or other data formats, making it compatible with existing business workflows.

Insights and Decision Support

At the heart of KognitiveWorks is its Insights and Decision Support module, this builds the knowledge graph and provides insights and query capabilities on top of the built model.

  • Knowledge Graph: Documents are chunked into smaller pieces and transformed into embeddings, which capture the semantics and context of the content. A knowledge graph is built (Insurance Domain model), by ingesting the Document Text, Text Embeddings and Extracted data that can get integrated insights.
  • Insights & Query: The platform leverages retrieval-augmented models that allow users to query insightful, context-aware responses. With the knowledge graph and LLM based query models, the platform provides an integrated insights leading to better decision-making across operations such as underwriting, claims management, and legal review. This can be particularly useful in understanding complex claims demands, legal documents, medical reports, and historical claims. In particular it provides below capabilities.
    • Case Summarys – analyze the structured and unstructured data related to a case (claim, submissions,  legal cases, policies etc.)
    • Assistant to interact/query

Key Attributes of KognitiveWorks

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Infinite Scalability

KognitiveWorks leverages AWS Lambda and API Gateway, supporting an event-driven architecture that automatically scales to handle varying workloads. Whether dealing with minimal or high-volume document ingestion and processing, the serverless design ensures seamless scaling without manual intervention, maintaining optimal performance at all times.

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Robust Security

Security is built into KognitiveWorks through services like Cloudfront for secure content delivery and AWS S3 and DynamoDB for robust data storage. These services include encryption, security monitoring, and fine-grained access control, ensuring sensitive data is protected, and compliance standards are upheld, giving users peace of mind in handling critical documents.

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Open Architecture

Designed with modularity in mind, KognitiveWorks integrates seamlessly with 3rd-party AI models like Anthropic (Claude), OpenAI( ChatGPT), and Google(Gemini). The flexible architecture allows easy adaptation to new workflows and integration of emerging technologies, ensuring the platform evolves effortlessly while staying agile and responsive in a rapidly changing landscape.

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Comprehensive Auditability

KognitiveWorks ensures comprehensive auditability by integrating AWS S3 and DynamoDB, enabling detailed logging and tracking of every document and process. This transparency supports compliance with regulatory standards and offers full traceability, allowing users to easily review and verify system activities for accountability.

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Seamless Integration

KognitiveWorks is designed for easy integration with external systems and services. By leveraging API Gateway and cloud-native technologies like AWS Lambda, it can effortlessly connect with core systems, databases, and AI models such as OpenAI and Anthropic, streamlining implementation and reducing time-to-market for new functionalities.

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