Case Study
Insurance
Higher Accuracy
Executive Summary
Manual document comparisons in the insurance sector are time-consuming, error-prone, and resource-intensive. A mid-size insurance player partnered with Wizr Labs to automate the comparison of Summary of Benefits and Coverage (SBC) documents using an AI-driven solution. The custom-built solution streamlined workflows, reduced operational costs, and significantly improved dealer satisfaction by delivering faster, more accurate results.
The Challenge: Manual Processes Slowing Down Operations
The client’s insurance file comparison process relied heavily on manual effort, leading to several operational inefficiencies:
Time-Intensive Workflow
Manual comparison of SBC documents took hours, delaying response times.
High Error Rates
Human errors often resulted in inconsistencies, impacting decision-making and customer satisfaction
Dealer Frustration
Slow turnaround times led to dissatisfaction among dealers and partners.
Scalability Constraints
The existing process could not keep up with high inquiry volumes during peak periods.
Lack of Standardization
Different employees applied varying standards to document comparisons, reducing consistency.
“Automating insurance file comparisons reduced processing time by 60%, enabling faster, more accurate responses while freeing up employees to focus on complex cases — transforming operational efficiency and dealer satisfaction.”
Wizr Labs: Delivering Automation and Accuracy
Wizr Labs implemented a cloud-based AI solution to automate the comparison of SBC documents. The solution was built to enhance operational efficiency, improve accuracy, and provide a seamless user experience.
Key Features of the Solution
Automated Document Comparison
Leveraged AI to extract and compare critical information from multiple SBC documents.
Highlighted discrepancies and key differences automatically.
Conversational Interface
Enabled users to interact with the solution through a dynamic chatbot.
Allowed users to ask customized questions and receive real-time responses.
Preloaded and User-Uploaded Documents
Provided a library of preloaded SBC documents for quick access.
Allowed users to upload their own documents for comparison.
Scalable Cloud-Based Architecture
Handled high volumes of inquiries without compromising speed or accuracy.
Continuous Learning and Improvement
The AI model improved over time based on user feedback and data patterns.
The Results: Transforming Efficiency and Accuracy
The AI-based solution delivered significant improvements across key performance indicators:
60% Reduction in Processing Time
Automated comparisons reduced turnaround times from hours to minutes.
Higher Accuracy
Error rates dropped significantly due to automated data extraction and comparison.
Improved Dealer Satisfaction
Faster, more accurate responses led to higher satisfaction levels among dealers.
Scalable Operations
The solution seamlessly handled peak inquiry volumes without additional resource requirements.
Optimized Resource Allocation
Employees could focus on complex cases, leaving routine comparisons to the AI system.
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