We developed a conversational AI voice bot that automates admission inquiry handling, reduces staff workload, and captures structured lead data throughout peak admission seasons.
Problem Statement
Colleges faced massive spikes in inquiry calls during admissions. Manual handling led to missed calls, inconsistent answers, long wait times, and zero visibility into caller intent or conversion potential.
Affected Areas
The problems identified affected several areas:
High operational burden on admission staff
Loss of leads due to unanswered/missed calls
Inefficient inquiry tracking
No 24×7 admission support capability
Solution
An intelligent voice bot capable of answering FAQs, routing calls, capturing leads, recognizing intent, and seamlessly handing over to human agents when needed.
How We Implemented
Call Handling Setup
using Exotel’s multi-level IVR
Conversational AI Voicebot
for interactive student queries
Speech-to-Text + NLP (OpenAI & LangChain)
for intent classification
Lead Capture System
using PostgreSQL + MongoDB Atlas
Seamless Agent Handoff
through Exotel transfer APIs
Analytics Dashboards
to visualize applicant engagement and conversion patterns
Outcome
Our 24×7 automated admission inquiry support significantly reduces manual workload by 60–70%, allowing admission teams to focus on high-priority tasks. Applicants benefit from faster query resolution and a smoother experience, while the system provides structured, actionable insights to help teams make informed decisions. This combination of efficiency and enhanced engagement ensures a seamless admission process for both staff and applicants.
Sample communiation
Experience how our AI-powered voice bot guides prospective students through real college information. These audio samples demonstrate the bot explaining college offerings, available branches, fee structures, admission details and campus activities in a clear, conversational way. Each clip captures how the AI assistant delivers fast, accurate and student-friendly responses that simplify the entire inquiry process.
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