CASE STUDY — FINANCIAL SERVICES
Fine Processing with AI
Streamline operations and enhance efficiency with automated data processing
Sector:
Financial Services
Focus:
AI-Powered Fine Document Processing
BUSINESS CHALLENGE
Inconsistent documents slowing traffic fine processing
Traffic fine processing was inefficient due to issues in format, resolution, orientation, and lighting. Handwritten or illegible text added complexity to data extraction, slowing down operations and increasing costs, the challenge this fine processing with AI system was built to solve.
SOLUTION IMPLEMENTED
An AI system turning fine documents into structured data
Implemented this fine processing with AI system, a fine text recognition system, to automate traffic fine processing, converting unstructured data into a structured database.
TECHNOLOGY
Built to capture, extract, and integrate fine data automatically
DATA PLATFORM
Azure SQL Database
A centralized database consolidates client and broker data, providing a unified view and eliminating data silos.
SERVING
Azure Functions & Azure AI Document Intelligence
Azure Functions Blob Trigger and Azure AI Document Intelligence automate fine data processing from raw scanned documents.
INTEGRATION
Azure Logic Apps
Ensures seamless connectivity with existing systems for streamlined workflows and real-time data updates.
Results & ROI
What changed once the system went live
SATISFACTION
Improved response times and streamlined operations, leading to higher customer satisfaction.
COST SAVINGS
Reduced operational costs by automating data extraction processes.
ACCURACY
Achieved over 90% accuracy in text recognition, ensuring reliable results.
