The challenge
Enterprise users needed a faster way to discover internal knowledge without weakening security, access control or audit requirements.
Agentic AI / Enterprise GenAI
DASH 2.0 Enterprise AI Assistant
A secure enterprise conversational AI assistant built with LangChain and Azure OpenAI, with SSO, access controls, tenant isolation and auditability.
Role
Agentic AI Specialist
Context
DeliverHealth Solutions
Period
2026
What I built
Designed and shipped a conversational AI layer over enterprise knowledge using LangChain and Azure OpenAI. The system integrated SSO, secure APIs, access-aware retrieval, tenant isolation and audit logging so responses stayed grounded in information the user was authorized to access.
Architecture
- LangChain orchestration with Azure OpenAI
- Access-aware retrieval and tenant isolation
- SSO / OAuth-based authentication
- Secure API layer and audit logging
- Latency, uptime and adoption monitoring
Outcomes
- Passed enterprise security review
- Approximately 200 ms average latency after go-live optimization
- Reduced friction for secure enterprise knowledge access
Technology
PythonLangChainAzure OpenAIFastAPISSOREST APIs