AI-Driven Student Inquiry & Feedback Call Integration
Project Context
In the education and lifelong learning sector, handling student inquiries and collecting post-course feedback is often a resource-intensive process. Manual call handling can lead to delays, inconsistent communication quality, and limited scalability. To address these challenges, AI-powered voice interaction offers a 24/7, script-driven solution that ensures consistent guidance, collects structured feedback, and integrates seamlessly with existing systems. We have already worked with similar systems and solutions.
Business Challenge
feedback posed several challenges:
1
Limited availability of human agents leads to delays in responses.
2
Increased operational costs for scaling support teams.
3
Inconsistent call handling quality due to varied human approaches.
4
Lack of structured, easily accessible data from calls.
Solution Overview
The proposed solution integrates AI-Caller to handle inbound calls from students 24/7. AI will follow predefined, client-approved scripts to guide students through course options, payment plans, and collect post-course feedback. All call transcripts, recordings, and structured data will be securely stored in the existing database or in a separate dedicated database.
Key Objectives
Implementation Phases
Phase 1: Core Features
1. AI-Driven Call Handling
2. Data Integration & Storage
Technical Architecture
Trigger
The student calls a dedicated number.
Call Flow
1. Telephony system routes call to AI module
2. AI interacts using a predefined script
3. Escalates to a human if needed.
Data Flow
1. AI sends transcripts and recordings via webhook
2. Data stored in existing or separate database
3. Frontend displays information in admin and student dashboards.
Tools & Technologies
Risk Management
AI Miscommunication
Mitigated with predefined scripts and real-time escalation to human agents.
Data Privacy
Compliance with relevant regulations, secure, encrypted storage for call data.