Accelerating Claims Processing for Next-Gen Motor Insurance
Automating claims digitization and part-level data analysis with Microsoft-powered RPA.ABOUT THE CLIENT
A leading digital native motor insurance company in Singapore with a vast auto insurance portfolio. With no brokers involved, the company manages over 3,000 annual claims and partners directly with workshops for bill submission.
NEED
The client required a scalable solution to address key challenges:
Manual processing of 3,000 annual claims caused delays and inefficiencies.
Workshop bills, often with 30+ line items, lacked structured part-level data.
The manual process of data entry hindered AI-based recommendation initiatives.
Classification of claims into repair bills, legal fees, and document bills added complexity, especially since only repair bills were relevant for analysis.
SOLUTION
An end-to-end automated solution was implemented using Microsoft technologies:
Microsoft Power Apps: For streamlined user interaction and data processing.
Microsoft Power Automate: To automate workflows for claim validation and processing.
Azure Blob Storage: For classifying and storing claims documents (e.g., repair bills, legal fees, and document bills).
Microsoft AI Builder: To extract and analyze part-level data from claims, using crash images.
Azure Cosmos Database: To consolidate and store structured data for AI-based recommendations.
Claims Digitization Workflow:
BENEFITS
Faster Processing
Reduced time for processing and settling claims by automating manual workflows.
Part-Level Data
Enabled precise part-level data extraction and AI-based recommendations, improving decision-making.
Error Reduction
Eliminated manual data entry errors, ensuring accurate claim processing.
Streamlined Operations
Centralized document classification and storage, creating a seamless end-to-end digitization process.