Case Summary

A leading P&C insurer needed to reduce manual intervention in managing documentation. SLK implemented AI-driven automation for data extraction from unstructured documents, strategically involving human oversight to ensure accuracy. This approach accelerated turnaround times, reduced person-hours, and significantly improved operational efficiency.

The Challenge

• Managing extensive documentation requirements with high manual intervention.
• Processing 40-page policies required significant human involvement, causing delays. 
• Long client wait times impacted net promoter scores. 
• Conventional technologies like OCR and RPA were inadequate for unstructured documents. 
• Needed a partner to automate processes, reduce human effort, and improve efficiency.

The Solution

• Implemented novel extraction techniques using NLP/OCR/computer-based vision-based geometry and synonyms from structured and unstructured application forms.
• Helped extract data from diverse sources like email submissions and attachments.
• AI-based classification ensured accurate document version control. 
• Human in the Loop was used for handling exceptions and approvals.
• Streamlined and automated processes reduced delays and improved efficiency.