So far, I have interviewed several developers. I would like to provide further clarification on details of my complete project and exact scope of work and end-goal.
Please see revised post description below for more clarification on RAG requirement for multi-client MVP application.
AI Voice Integration Twilio Test Setup - Python/Django
Project - AI-Powered SaaS Platform with Modular RAG Models
Overview - This project involves developing a real-time AI SaaS platform tailored for visa consultancy and business services. The system allows super admins to manage Business-specific RAGs (Retrieval-Augmented Generation models), helping end users receive precise, real-time answers via chat or voice call— with low latency and high scalability for complete response time on phone of < 1 second.
Key Concept: Business-Based RAG Setup - Clients (super admin) can create separate RAG models per business.
Business model:
I have developed a platform for managing Immigration Visa Applications.
My own developers will handle all Server side, Database, Portal, APIs to server and assist with integration process
Small Immigration law firms will be subscribing to this platform from my web portal.
Each firm will have its own clients that it will sign up thru incoming phone calls to its Intake AI Agent, using tehir own dedicated phone number.
Intake AI Agent need to be engage the caller thru series of interactive Q&A to eventually determine:
- What type of Visa they need
- What supporting document they require
- What is the cost of obtaining the visa they need.
Each firm has its own price structure for each visa type.
Each firm has its own payment breakdown term’s structure (example 30% up front, 40% in middle, 30% at end)
AI Agent needs to negotiate the price like a salesman to sign up the customer for best price deal it can
Once client agrees, he needs to electronically sign via DocuSign acceptance form to start.
I would like to have this completed and tested within 4 weeks.