This architecture view illustrates how the AI Business Assistant & CRM processes customer conversations through FastAPI, OpenAI APIs, PostgreSQL, and application business logic.
The workflow separates AI-generated responses from application-controlled operations such as request validation, database access, and customer information management.
The diagram presents a simplified view of the conversational request and response lifecycle. It illustrates the responsibilities of each component rather than every internal function call.
A customer submits a conversational request through the web interface, which communicates with the FastAPI backend.
FastAPI receives the request, validates its structure, and routes it to the appropriate application functionality.
The application retrieves recent messages associated with the conversation session from PostgreSQL to provide continuity across customer interactions.
The backend sends relevant conversation context and application instructions to OpenAI. The AI service generates a conversational response.
The application handles the AI response and applies its own workflow logic. Lead information may be captured and stored when the applicable conditions are met.
The response is returned to the customer. Conversation messages are stored in PostgreSQL to support subsequent interactions within the session.
FastAPI handles application requests, PostgreSQL stores persistent data, and OpenAI provides conversational AI capabilities.
AI supports the customer interaction, while application code remains responsible for business rules and database operations.
Conversation history is maintained in PostgreSQL and retrieved by session when needed, rather than relying on the AI model to serve as the system of record.
Clear application boundaries make the conversational workflow easier to understand, test, maintain, and extend.
Artificial intelligence should amplify software engineering, not replace it.
Reliable systems emerge when intelligent components operate within well-defined architectural boundaries.
The technologies below represent possible future enhancements. They are not all part of the currently implemented conversational workflow.
OpenAI integration is implemented. The remaining capabilities are architectural possibilities to evaluate as business requirements justify them.