- Our high-growth enterprise insurance client was concerned about losing revenue because they were unable to underwrite policies and endorsements fast enough.
- The main cause was their policy application system that was unable to keep up with their high growth.
- Aptitive optimized the policy application system and created a real-time policy application solution to provide improved access and visibility for insurance underwriters.
Just the Headlines
Short on time? Here are the key facts.
Industry
Insurance
Featured Technologies
Azure
.Net
The Challenge
Our high-growth enterprise insurance client was concerned about losing revenue because they were unable to underwrite policies and endorsements fast enough.
Because their policy application system was unable to keep up with their high growth, their underwriters were experiencing disruptive lag times in receiving applications for new policies and endorsements to existing policies. This caused the turnaround time to be well below industry standards and resulted in lost revenue.
The application system was bogged down by too many processes and customizations that had been added over time to accommodate our client’s changing needs as they grew. To decrease underwriting turnaround time, our client needed to separate the application process from their main system and give their underwriters immediate access to applications as they came in.
The Solution
Aptitive’s approach was to optimize the policy application system in order to speed up access and improve visibility of the data to our client’s underwriters. We did this by creating a separate, performant process around underwriting applications using a serverless architecture hosted in Azure.
This architecture utilized Azure Functions on .NET Core, which serviced an Azure SQL database with sub-second updates read from the customer-facing application. The data was then transformed to business-relevant and reporting-optimized data models using Azure Data Factory.
Because Azure Data Factory is only able to run every 15 minutes, the Aptitive team deployed a Logic App of the Azure Data Factory instance to trigger it every three seconds when it is not already running. This architecture allowed the more comprehensive and enterprise-ready functionality within Azure Data Factory, while staying true to our client’s real-time needs.
The Outcome
Aptitive’s insurance policy system solution allowed our client’s underwriters to view and approve new policies and endorsements in real time, as policy data was moved from the live customer-facing application to the data platform within three seconds.
The separation of the underwriting application process also sped up the main system by removing a large load of tasks it was being asked to perform. This enabled efficiencies in both the underwriting application process and the broader business as a whole.
This solution also provided our client with the foundational architecture for a real-time advanced analytics and reporting data platform.
Poulton
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