Building an enterprise AI platform and governance foundation for financial work
An in-progress engagement building an on-premise platform, integrated operations, and security and governance controls so AI agents and RAG can be applied safely to internal financial work
A Korean financial-services company (anonymized) ·
Scope delivered
- On-premise enterprise AI platform
- Integrated agent and RAG lifecycle
- RBAC, audit logs, and guardrails
- Deployment approval and monitoring
The problem
The organization needed one governed foundation for using multiple AI models and internal data while meeting financial-sector security and control requirements across agent development, deployment, operations, and audit.
What we did
The work is integrating agent design, RAG knowledge pipelines, multi-model connectivity, deployment approval, and operational monitoring around an on-premise XGEN platform. RBAC, audit logs, guardrails, and data-protection policies establish a standard foundation for expanding AI services safely.