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Case Study · Voice AI · Study Abroad Consultancy
Reduce Calling Cost from ₹13/min to ₹3.5/min with a Voice AI Agent Built for Indian Lead Qualification
A study abroad consultancy automated outbound calling, doubled monthly call volume, reduced telecalling dependency, and qualified leads using real-time AI voice conversations.
Book a Voice AI Demo73%Reduction in call cost2×Monthly call volume10→2Agents required90%+Lead coverage₹3.5Cost per minute
01
The Challenge
A growing study abroad consultancy was heavily dependent on a manual telecalling team to qualify incoming and outbound leads. The process was expensive, slow, and difficult to scale.
- Calling costs were as high as ₹13 per minute
- A 10-member telecalling team was required for daily lead outreach
- Reviewing call recordings manually consumed significant time
- Counselors were spending effort on low-intent and unqualified leads
- Lead nurturing lacked consistency and intelligence
- Scaling outbound calls meant increasing manpower and cost
As lead inflow increased, the consultancy needed a smarter way to engage students, capture intent, and surface only serious prospects to the admissions team.
02
The Solution
We built a Voice AI Agent tailored for the study abroad lead qualification journey in India.
The system handled outbound conversations in a natural voice, detected user intent in real time, transcribed every interaction, and automatically filtered high-intent leads for the sales and counseling teams.
Instead of forcing managers to listen to every call, the platform used transcript intelligence and LLM-based intent signals to identify which leads actually required human follow-up.
This transformed the workflow from manual telecalling and random call review into an AI-led lead qualification engine.
03
Impact Delivered
₹13→₹3.5/minCalling cost reduced73% lower cost per minute
10K→20KMins/month capacityDoubled throughput
10→2Agents required80% team reduction
90%+Lead coverageWithout growing ops
FasterHuman handoffHigh-intent leads only
~0Manual reviewAI-filtered conversations
04
Core Capabilities
Interruption Handling
Prospects speak naturally without waiting for the bot.
Real-Time Transcription
Every conversation becomes searchable instantly.
Intent Detection
LLM-powered transcript intelligence for qualification.
Lead Qualification
AI identifies which students deserve counselor time.
Smart Review Layer
Filter calls by intent, score, duration, or disposition.
Follow-Up Intelligence
Categorize leads for callback, nurturing, or escalation.
Scalable Operations
Increase volume without proportionally increasing cost.
05
Technology Stack
Deepgram
Speech-to-text
Cartesia
Voice synthesis
Gemini LLM
AI orchestration
Exotel
Telephony / SIP
Orchestration
Real-time pipeline
06
Why This Mattered
The real win was not just reducing cost per minute. The bigger transformation came from changing how the organization handled lead operations:
- The admissions team stopped wasting effort on weak leads
- Managers stopped reviewing all call recordings manually
- Lead qualification became faster and more consistent
- Outreach could scale without increasing team size
- Students received faster response and better engagement
- High-intent prospects were surfaced quickly for conversion
This made the entire lead pipeline more efficient, measurable, and scalable.
07
Why Voice AI Wins at Scale
Manual telecalling works only up to a point. Once lead volumes rise, cost, inconsistency, and managerial overhead increase rapidly. Voice AI changes the economics completely:
- Lower marginal cost per call
- Consistent qualification flow
- Higher throughput with no fatigue
- Better data capture and logging
- No variability or missed records
- Easy scale during peak admission cycles
For study abroad consultancies handling thousands of leads, this creates a major competitive advantage.
08
Outcome Summary
By replacing repetitive telecalling tasks with a Voice AI qualification layer, the consultancy built a faster, leaner, and more scalable lead engine.
The result was better efficiency, better focus, and better conversion readiness.
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