TABLE OF CONTENT

About the Client

Pramerica Life Insurance Limited, headquartered in Gurugram, India, provides a wide range of life insurance solutions for individuals and groups. Serving over 2.6 million customers, Pramerica offers products for financial protection, retirement planning, savings, and wealth generation. The company manages assets worth ₹7,882 crores and operates 140+ branches across India with a workforce of 3,000+ employees.

Business Situation

Pramerica needed to comply with new government regulations requiring national ID masking. The major challenges included:

Regulatory Compliance: Needed to mask national ID numbers in existing customer documents.
Manual Effort: Processing 500,000 documents manually was time-consuming and error-prone.
Document Complexity: ID numbers were stored in varying formats across different scanned image files.
Technology Constraints: Documents were stored in IBM FileNet, requiring seamless integration with automation tools.
Accuracy Concerns: A high accuracy rate was essential to ensure compliance and avoid errors.
Tight Deadlines: The solution had to be deployed quickly to meet regulatory deadlines.

The Solution

To tackle these challenges, Unthinkable implemented an intelligent RPA-based solution using UiPath, complemented by Google Vision API for accurate ID detection. Unthinkable leveraged UiPath’s automation capabilities to create a robust and scalable ID masking solution. The approach included:

Proof of Concept (PoC): Conducted an initial feasibility test to ensure high accuracy.
RPA Automation: UiPath bots automated downloading, processing, and re-uploading of documents.
AI-Powered Detection: Google Vision API identified and localized ID numbers in scanned images.
Custom Python Scripts: Developed scripts for seamless processing and secure deployment.
Seamless FileNet Integration: Automated interactions with IBM FileNet for document management.
On-Premise Deployment: Installed the solution on Pramerica’s infrastructure for secure access.

The Impact

The implementation of RPA and AI-driven automation transformed Pramerica’s compliance process. By automating the national ID masking, the company successfully processed 500,000 documents in a fraction of the time required for manual efforts. Each document was masked within 10 seconds, significantly reducing operational delays. The solution ensured full compliance with government regulations while maintaining a 98% accuracy rate. Eliminating human errors improved data security and reliability, allowing Pramerica to focus on its core operations. Furthermore, the seamless integration with IBM FileNet ensured a smooth transition without disrupting existing workflows. This project demonstrated how intelligent automation can drive efficiency, accuracy, and compliance in the BFSI sector.

Conclusion

By implementing UiPath-powered RPA and AI-driven automation, Unthinkable enabled Pramerica to achieve compliance in record time. The solution not only saved significant manual effort but also enhanced data security and accuracy. This case study highlights the power of intelligent automation in regulatory compliance and operational efficiency, demonstrating how businesses can future-proof their processes with the right technology.