Robotic Process Automation

Business Requirement

A large insurance company needed to streamline its claims processing workflow. The manual process involved employees reviewing claim documents, validating customer information, and updating multiple legacy systems. This was time-consuming, error-prone, and led to delays in customer service. The business requirement was to automate repetitive tasks, reduce turnaround time, and improve accuracy while maintaining compliance with industry regulations.

Challenges Faced

Integrating RPA bots with multiple legacy systems that lacked modern APIs. Ensuring compliance with strict data privacy and security standards. Handling unstructured data such as scanned claim forms and handwritten notes. Managing exceptions where claims required human judgment. Scaling the automation solution without disrupting ongoing operations.

Solution Implemented

A custom RPA solution was developed using UiPath. The bots were designed to: Extract data from scanned claim forms using OCR (Optical Character Recognition). Validate customer details against internal databases. Automatically update claim status in legacy systems. Route exceptions to human agents for review. Provide dashboards for monitoring bot performance and compliance. The solution was integrated with the company’s existing workflow management system, ensuring seamless collaboration between bots and human employees.

Technology Stack

• Frontend: Angular, HTML5, CSS
• Backend: .NET, Python
• RPA Platform: UiPath
• AI/ML Models: TensorFlow (for OCR and NLP tasks)
• Database: SQL Server
• Cloud: Microsoft Azure
• APIs: REST APIs for system integration

Results & Impact

Reduced claims processing time by 60%. Improved accuracy of data entry by 85%, minimizing compliance risks. Freed up employees to focus on complex cases requiring human judgment. Enhanced customer satisfaction with faster claim settlements. Achieved significant cost savings by reducing manual effort and errors.