Global Life Insurance Giant Achieves Seamless eBaoTech Migration with QualityKiosk’s GenAI-Driven Data Validation

QualityKiosk implemented a robust, multi-stage data validation strategy, integrating advanced automation tools and processes to ensure a seamless platform transformation.

Key Components

AI-Powered validation: Used a Python-based comparator to ensure data integrity and accuracy.

Automated backend and frontend bots: Deployed 20+ specialized bots to streamline data migration validation, configuration validation, data quality assurance, business process validation, and BI/reporting validation.

Reusable solution accelerators: Leveraged accelerators from similar transformation projects, accelerating implementation.

Data restoration planning: Implemented a comprehensive data restoration plan to address potential data loss scenarios.

Strategic batch run planning: Meticulously planned batch runs on the legacy system to ensure data availability and minimize risks.

Streamlined UAT approval process involving business users: Empowered business users and improved collaboration across teams.

6-Stage Data Validation Strategy

Data Migration Validation: Backend-Bot compared source (legacy) and target (cloud) data to ensure accurate migration. QualityKiosk uncovered 40– 50% data migration defects missed by the client’s team during front-end validation.

Configuration Validation: Backend Bot validated system configurations, including product and process rules.

Data Quality Assurance: Frontend-Bot validated a migrated policy on the new system’s UI to ensure accurate attribute mapping.

Business Process Validation: Frontend-Bot tested real-world scenarios to verify workflows and processing logic.

BI and Reporting Validation: Frontend-Bot confirmed accurate generation of BI reports, letters, and collection files.

Transactional Data Verification: Frontend-Bot verified 10M+ transaction-level data across dierent modules for end-toend transaction flow.