Infosys Insurance AI-Driven Policy Migration and Modernization (IPMS)

Overview: Infosys Policy Migration Solution (IPMS) is an AI-powered platform designed to assist insurance companies in migrating from homegrown or legacy Policy Administration Systems (PAS) to modern target platforms running on AWS. Leveraging decades of industry experience, IPMS incorporates proven components and methodologies to accelerate the migration journey, while reducing the delays and complexities typically associated with PAS transitions Key Features: 1. Product Definition Extractor (PDE) Utilizes Generative AI to extract product specifications, formulas, and calculations from unstructured documents, enabling efficient product configuration in the target PAS. 2. Business Rules Extractor (BRE) Extracts business rules from legacy code and converts them into a structured, usable format for the new platform. 3. Data Converter Uses Generative AI to automate attribute mapping between the source PAS and a neutral file format, based on attribute names, descriptions, and data characteristics. 4. Validation Engine Provides AI-assisted automated validations to ensure accuracy and completeness throughout the PAS migration process. 5. ETL Processor [part of Infosys Data Services Suite (iDSS)] Handles data transformation and processing from the source system to the target neutral file format, ensuring seamless data migration. Benefits: 1. End-to-End Policy Conversion Accelerators: IPMS addresses all aspects of PAS migration, leveraging curated industry expertise to streamline the process — from

extracting policy specifications & business rules to target schema mapping, data transformation, migration, and final validations. 2. Target Platform Agnostic: Capable of migrating policy data and business rules from legacy systems to any modern Policy Administration System (PAS), regardless of vendor or architecture. 3. Advanced GenAI and AI Capabilities: Utilizes Generative AI for tasks such as document summarization, code interpretation, and rule extraction from legacy data, significantly enhancing automation and accuracy. 4. Cost Efficiency: Offers a cost-effective migration approach compared to leading competitors, reducing both time and resource requirements.