Leading Financial Services Company
Automated Data Extraction
Problem
The client required a solution to extract key information from business artifacts and hospital documents in various formats while also organizing these documents efficiently.
Solution
An advanced AI-powered system to scan hospital documents across multiple formats, extract relevant information, and update the database according to predefined specifications, ensuring accuracy and consistency.
Outcome
The automated data extraction process significantly reduced human errors and minimized the required man-hours, streamlining operations and enhancing overall efficiency.



AI to Extract and efficiently organize claims documents
The client needed a system to extract critical information from business artefacts and hospital documents provided in various formats. Additionally, there was a requirement to organize these documents efficiently. An AI solution was implemented featuring an OCR component to extract relevant data from the documents and update the database based on client specifications. APIs were provided to enable seamless integration with the client’s existing web-based application. This integration allowed extracted data to flow directly into the claims processing module, while indexed documents were archived in structured folders for easy access and retrieval.



The automated solution drastically improved the accuracy and efficiency of data extraction, significantly reducing human errors and saving considerable man-hours previously spent on manual processing. By streamlining operations, the system not only enhanced the client’s claims processing workflow but also ensured better data organization, making it faster and easier to retrieve information when needed.
Superior Automation, Faster Processing
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