Requirement
To support AI-driven data integration, we needed to replace spreadsheets and other loosely structured sources with a robust platform. The new system had to enforce consistency, scale across tenants, and support operational integrity
Method
Data sources were consolidated into PostgreSQL to enforce relational integrity, tenant isolation, and performance at scale. The schema includes identity and access control for secure tenant-aware operations. Constraints, audit fields, and indexing were implemented to ensure consistency, traceability, and long-term maintainability.
Outcome
The result is a multi-tenant PostgreSQL database with support for user management, RBAC, and auditability. It provides a foundation for scale, AI integration, and secure multi-user workflows