Insurance Data to Intelligence Assessment on AWS

Insurance organizations operate across multiple core systems for claims, policy administration, underwriting, and document management. These environments generate large volumes of structured and unstructured data, but access to that data is often fragmented, slow, and dependent on manual processes.

Critical information—such as claims history, policy details, adjuster notes, and supporting documents—is frequently siloed across systems, requiring manual retrieval and review. This slows claims processing, limits underwriting visibility, increases operational cost, and reduces decision consistency. Compass UOL helps insurers assess and modernize their data landscape on AWS by transforming fragmented data environments into a unified intelligence layer. This assessment evaluates how claims, policy, and document data are stored, accessed, and used, identifying gaps that prevent real-time decision-making.

Using AWS-native data and analytics services combined with GenAI patterns—such as document extraction, semantic search, and unified query layers—Compass UOL defines a scalable architecture that enables fast access to both structured and unstructured insurance data.

The outcome is a clear roadmap to reduce claims and underwriting cycle time, improve decision quality, and enable real-time access to intelligence across insurance operations.

Buyer Problem / Business Trigger

Claims, policy, and document data fragmented across multiple systems Manual document review slowing claims processing and underwriting decisions Limited real-time visibility into operational data High operational cost due to inefficient data access and retrieval

Delivery Model

Data landscape discovery across claims, policy, and document systems Assessment of data pipelines, access patterns, and analytics capabilities Definition of AWS-native data intelligence architecture Roadmap for implementation and scaling

Assessment / Engagement Scope

Claims data systems and workflows Policy administration systems Document repositories (FNOL, adjuster notes, supporting evidence) Data ingestion, storage, and retrieval processes Document extraction and search capabilities Analytics and reporting environments

Expected Output / Deliverables

Insurance data intelligence assessment report AWS reference architecture for unified data access Identified use cases (claims intelligence, policy retrieval, document search) Gap analysis across current vs. target architecture Implementation roadmap for data modernization and intelligence

Customer Decision Questions This offer helps the customer answer:

How do we unify claims, policy, and document data into a single intelligence layer? How can we reduce claims and underwriting cycle time through better data access? What AWS architecture enables real-time querying and analytics for insurance data?