Harnessing AI to accelerate Legacy System Conversions for L&A Insurers
For L&A insurers looking to convert their policy blocks from legacy to newer platforms, data conversion has historically been the longest pole in the tent. The process is typically fraught with challenges such as poor data quality, lack of knowledge about business rules, and resource constraints. Conversion programs often involve tedious analysis of COBOL copybooks and code, making it difficult and inefficient. Complex business rules are intertwined with legacy processes and lack documentation, adding to the complexity. Additionally, finding individuals skilled in legacy programming languages is a significant resource challenge.
According to industry reports, the average duration of a conversion project in the L&A sector ranges from 12 to 24 months, depending on the complexity and scale of the project.
Our Solution: AI-led Conversion Workbench
NTT Data has developed the AI-led Conversion Workbench to streamline and optimize the legacy system conversion process specifically for L&A insurers. Here’s how our innovative solution addresses these key challenges:
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Quantifiable Benefits for L&A Insurers
Our AI-led Conversion Workbench has delivered significant benefits:
Additionally, this platform is fit for purpose for a variety of life and annuity products, making it a versatile solution for the L&A industry.
Driving Transformation with AI
At NTT Data, we are committed to driving transformation through innovative AI solutions. Our AI-led Conversion Workbench is a testament to this commitment, offering a robust and scalable solution to the challenges posed by legacy system conversions for L&A insurers. By automating and optimizing these processes, we empower organizations to focus on what truly matters – delivering value to their customers and staying ahead in the competitive landscape.
Executive Vice President - iNube | Leading Insurance-Tech Coach for Aspiring Mid-Career Professionals | 30+ Years of Experience in Insurance-Tech |Passionate Book Reader
2wAashish Jain This is encouraging news! The application of AI to complex projects like policy conversion suggests a promising future for streamlining processes and improving efficiency in significant areas.