GenGrate uses insurance-trained AI to interpret legacy schemas, map complex relationships, and transform data for modern systems, eliminating manual ETL and months of migration effort.
The Problem
Insurance data migrations are slow and expensive
Manual mapping increases cost
Teams rely on spreadsheets, scripts, and consultants to map fields and business rules by hand. This labor-heavy work drives up migration budgets and stretches projects over long timelines.
Late validation causes rework
Data issues are often discovered at the end of the migration. Fixing them late forces repeated test cycles, extends timelines, and increases overall cost.
Data complexity slows progress
Decades of policy, claims, and billing data contain undocumented structures and dependencies. Understanding these systems manually delays migration before data even moves.
The Solution
How does InsOps Help?
GenGrate helps insurers migrate data faster
Understands insurance data structures
Interprets insurance-specific fields, codes, and terminology across policy, claims, billing, and financial datasets so teams do not need to reverse-engineer legacy systems.
Automates Schema Mapping
Identifies how source and target fields relate and generates initial mappings automatically, reducing reliance on spreadsheets and manual configuration.
Standardizes formats for migration
Aligns data types, formats, and attributes to create consistent, target-ready structures for downstream systems.
Detects schema changes early
Compares schema versions and flags structural changes before they impact migration timelines or accuracy.
Generates transformation logic
Creates transformation and validation rules needed for migration, reducing custom engineering effort and rework.
Identifies relationships and dependencies
Discovers joins, parent-child relationships, and cross-dataset dependencies to ensure accurate migration and reconciliation.
FAQ