A business company faced ongoing delays in HR processing and benefits verification due to the manual transcription of insurance information from physical employee welfare cards. This labor-intensive process slowed down the verification and onboarding process, which impacted employee experience and administrative efficiency.
To address these challenges, a Cognitive Data Extractor (CDE) was implemented to automatically extract key details such as company name, policy number, insurer, and plan specifics. The solution leveraged Generative AI paired with OCR to locate and extract relevant fields accurately. To enhance accuracy, image preprocessing cleaned up card scans, while Generative AI ensured consistent data capture.
The new system achieved an impressive 89% AI accuracy rate on extracted fields and boosted processing speed by 75%. It successfully handled bulk data from over 15,000 welfare cards weekly, dramatically speeding up insurance verification and smoothing the employee onboarding process. This not only reduced administrative workload but also helped HR teams focus on higher-value tasks.
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