Executive Summary
The client is an insurance-based organization that processes a high volume of insurance claims received via email. Prior to automation, claim validation and payment processing were performed manually, leading to long processing times and a higher risk of errors.
An RPA solution was implemented to automate the end-to-end claims intake, eligibility verification, and payment processing using UiPath. The bot retrieves claim forms from Lotus Notes emails, extracts data from PDF documents, validates eligibility in a Mainframe application, and processes payments for eligible claims. As a result, claim processing time was reduced from 55 minutes to 15 minutes per transaction, with accuracy improved to 97%.
Client Background
The client operates in the insurance sector and manages multiple insurance products with strict compliance and accuracy requirements. The claims processing function is a critical business operation handled by the claims and operations teams.
Claims are submitted by customers via email in PDF format and require detailed validation against policy and eligibility rules maintained in a Mainframe system.
Business Challenge
Before automation, the claims process involved:
- Manually monitoring Lotus Notes emails for incoming claim forms.
- Downloading and reviewing PDF claim documents.
- Manually extracting claim and policy information.
- Logging into a Mainframe application to verify eligibility.
- Processing payments for eligible claims or routing ineligible claims for review.
Key challenges included
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High manual effort and long processing time (55 minutes per claim).
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Increased risk of human error in data extraction and eligibility checks.
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Inconsistent decision-making and rework.
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Delays in claim settlement impacting customer satisfaction.
Given the criticality of financial accuracy and compliance, the client opted for RPA to streamline and standardize the reconciliation process.
Objectives
The primary objectives of the automation initiative were:
Primary Goals
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Reduce end-to-end claim processing time.
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Improve accuracy and consistency in claim validation.
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Automate eligibility checks in the Mainframe application.
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Ensure timely payment processing for eligible claims.
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Enable efficient handling of business exceptions.
Success was measured using KPIs such as processing time per claim, accuracy percentage, and reduction in manual effort.
Solution Approach
RPA Tool:
UiPath
Applications Involved
Lotus Notes, PDF documents, Mainframe application
Key Automation Capabilities:
- Bot monitors Lotus Notes inbox for incoming claim emails.
- Automatically downloads PDF claim attachments.
- Extracts required claim details using document processing.
- Validates claim eligibility in the Mainframe system based on predefined rules.
- Processes payments automatically for eligible claims.
- Flags ineligible claims for business exception handling with clear status updates.
The solution included strong exception handling, validation checks, and detailed logging to support audit and compliance needs.
Implementation Journey
The automation was implemented in a phased manner:
- Process assessment and requirement gathering.
- Document analysis and extraction logic design.
- Mainframe interaction and eligibility rule implementation.
- Bot development and unit testing.
- User acceptance testing with claims team.
- Production deployment and stabilization support.
Close collaboration with finance, IT, and compliance teams ensured accuracy and regulatory alignment. Data format inconsistencies were addressed using normalization and validation rules.
Results / Outcomes
The automation significantly improved the efficiency and reliability of the claims process. The end-to-end processing time per claim was reduced from 55 minutes to 15 minutes, enabling faster claim resolution.
Accuracy improved to 97%, minimizing errors in eligibility validation and payment processing. Eligible claims were processed seamlessly, while ineligible claims were automatically flagged for business review, allowing teams to focus on exceptions rather than routine work.
solution reduced operational workload, improved consistency in decision-making, and enhanced overall customer experience.
Business Value Delivered
The RPA solution delivered strong business value by modernizing and streamlining a critical insurance process. It enabled faster claim settlements, improved accuracy, and better compliance with eligibility rules.
The automation aligned with the client’s digital transformation strategy by reducing manual dependency, improving scalability, and creating a foundation for further automation across the claims lifecycle.
