A business organization was experiencing inefficiencies in HR operations due to the manual extraction of insurance and benefits information from employee welfare cards. The process required significant administrative effort, resulting in slower benefits verification, delayed onboarding workflows, and increased processing time for HR teams.
To streamline the process, Infognana implemented its Cognitive Data Extractor (rannsCDE), an AI-powered document processing solution designed to automatically capture and extract critical information from employee welfare cards. Using a combination of OCR, image enhancement, and Generative AI, the solution accurately identified key fields such as company name, insurer details, policy numbers, and plan information.
Advanced image preprocessing improved scan quality, while AI-powered extraction ensured consistent and reliable data capture across a wide variety of card formats.
The solution achieved 89% AI extraction accuracy across key data fields while increasing processing efficiency by 75%. It successfully processed data from more than 15,000 employee welfare cards per week, significantly accelerating benefits verification and employee onboarding workflows.
By automating welfare card data extraction, the organization streamlined HR processes, enhanced employee experiences, and enabled staff to focus on higher-value strategic initiatives rather than manual data entry.
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