AI-Agents for RYGS overseas educational consultancy
2024
AI Co-pilot
Design
Webflow Developemt
workflow Automations
VectorShift
Exa
OpenAI GPT
Vector database
Lama
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About The
Project
Overview
RYGS Overseas educational consultancy approached MightyMinds to develop an AI-powered chatbot solution. The primary goals were to answer regular immigration queries from students, collect student information, and solve student doubts. The project timeline was set at 90 days.
Challenge
- Collect data from students interacting with the chatbot
- Clean and process raw data (70% of data required cleaning)
- Implement a call-to-action feature after a set of responses
- Integrate with CRM and set up automatic email notifications
- Develop an internal co-pilot for sales representatives
- Complete the project within the 30-day timeline
Approach
Data Gathering and Processing:
- Collected additional data from various resources to supplement insufficient company data
- Created a vector database for semantic search capabilities
AI Model Selection:
- Utilized OpenAI GPT model
- Implemented a career counsellor persona for the chatbot
Knowledge Integration:
- Connected the AI to Except for up-to-date world knowledge
- Set up weekly documentation updates for RYGS representatives
Chatbot and Co-pilot Development:
- Combined all pipelines to create both a chat agent and a co-pilot
Result
- 70% reduction in time spent collecting user data and solving queries
- Enhanced knowledge base for sales representatives without additional time investment
- Improved user data collection and query resolution
- Automated email notifications to both RYGS team members and users
- Regular updates on career counseling, overseas education, and immigration rules
Key Features
- AI-powered chatbot for student queries
- Internal co-pilot for sales team support
- Automated data collection and CRM integration
- Regular knowledge updates for the team
Impact
The implementation of the AI chatbot and co-pilot system significantly streamlined RYGS's operations, reducing time spent on data collection and query resolution while enhancing the knowledge base of their sales representatives.