Data Analytics and AI
AI Data Analyzer Solution for Streamlined Processes on Claim Platforms
A Fortune 500 Insurance company needed a solution to streamline downstream processes on claim platforms to improve employee productivity and increase margins. The solution needed to easily ingest, store, and analyse data from diverse sets of structured and unstructured data.
Client Challenges and Requirements
- Errors and inconsistencies in the claim platforms.
- Inefficiencies in claims processing.
- Data quality issues.
- Scalability of the new solution.
Bitwise Solution
Bitwise developed an artificial intelligence (AI) solution that analyzes claims data by automatically reading insurance documents and extracting the important information. The system uses Databricks to build a 3-step data analysis process:
- Bronze Layer – securely stores raw data of all information from policy documents (such as emails with attachments).
- Silver Layer – smart AI-powered reading assistant analyzes the raw data then extracts and holds key details like coverage amounts, deductibles, and expiry dates.
- Gold Layer – once a human analyst double-checks the extracted information for accuracy, the clean data goes into the Gold Layer, which is the trusted source for everything insurance-related.
Tools & Technologies We Used
Azure Databricks
DBRX Instruct LLM
PySpark
HuggingFace
Key Results
Achieved increased productivity and time savings by reducing errors with the streamlined workflows
System ensures consistency and accuracy resulting in increased confidence in the data
Easier analysis and easier access to important details for reports and decision making
