Production-grade multi-agent AI system enabling secure natural-language interaction with enterprise CRM and operations data in PostgreSQL, purpose-built for multi-tenant SaaS environments with strict tenant isolation, access control, and governance guarantees.
- Enabled secure natural-language querying of PostgreSQL-backed CRM and operations systems without exposing direct SQL access.
- Implemented LangGraph-based agent workflows translating user intent into validated, tenant-aware queries with structured outputs and visualizations.
- Designed domain-specific agents with schema awareness, scope enforcement, and deterministic response handling.
- Applied MCP-style context management to maintain consistent conversational state across agent steps and UI interactions.
- Containerized and deployed as a backend service with environment-driven configuration for production reliability and safe iteration.