AI Chat Agents for Admissions
Conversational AI grounded in your admission SOPs, FAQs, and program knowledge, handling inbound calls, web chat, and WhatsApp 24/7. Hot-handoff to human counsellors when the conversation gets human.
Admission seasons in Indian universities run hot. A counselling team of fifteen takes 4,000 calls a week, returns voicemails after 6 PM, and watches WhatsApp inquiries pile up overnight. The first response window is where most enquiries die, not because the question was hard, but because no one was on the other end.
QverLabs Admission Chat Agent picks up on the first ring, answers the first 80% of questions cleanly from your SOPs, and hands off the remaining 20% to a counsellor with full conversational context. Voice, web, WhatsApp, same agent, same memory.
Live voice agent in action
A real call from an applicant, the agent identifies itself, answers from your knowledge base, and offers to schedule a counsellor call when the question goes off-policy.
How it works
Ground the agent
SOPs, FAQs, brochures, fee structure, counsellor scripts ingested. Every answer is traceable to a source document, no hallucination.
Connect channels
Toll-free voice number, WhatsApp Business, web widget. Same agent, same memory across all three.
Handle volume
Picks up on the first ring. Answers the first 80% from the knowledge base. Routes the rest to humans with full context.
Loop in counsellors
Hot-handoff on intent, sentiment, or applicant request. The counsellor inherits the full conversation, no repeating.
One agent. Three channels.
Voice
Inbound and outbound calls on a toll-free number. Sub-500 ms latency. Multilingual.
WhatsApp Business API. Async conversations that pick up where they left off, days later.
Web Widget
Embedded chat on your admission portal and microsites. Real-time handoff to counsellor video call.
Built for admission realities
24/7 first response
The first message is the most important. Agent picks up before the applicant moves to the next university.
Multilingual by default
English, Hindi, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati, Punjabi. Detected from the first turn.
Source-traceable answers
Every response is anchored to the SOP, brochure, or counsellor script it came from. No hallucinated policies.
Hot-handoff to humans
Off-policy questions, sentiment shifts, or explicit requests trigger a clean handoff with full conversation context.
Funnel analytics
Drop-off heatmaps, top intents by volume, conversion rate by source, counsellor queue health, all on a single dashboard.
Portal-native
Reads applicant context from your admission portal, writes back interaction summaries and counsellor handoffs.
Frequently Asked Questions
Voice (inbound and outbound calls), WhatsApp Business, and a web chat widget. The same agent serves all three with a unified conversation history, an applicant who starts on web chat and calls back the next day picks up exactly where they left off.
No. The agent is grounded strictly in your admission SOPs, FAQs, fee structure, program brochures, and counsellor scripts. Off-policy questions are routed to a human counsellor rather than answered by the AI. Every response is traceable to a source document.
Hot-handoff on three signals, explicit applicant request ("I want to talk to someone"), intent that the agent isn't cleared to handle (fee waiver requests, scholarship eligibility appeals), or sentiment shift that suggests frustration. The handoff carries the full conversational context so the counsellor doesn't make the applicant repeat themselves.
Yes. English, Hindi, and major regional Indian languages including Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati, and Punjabi. The agent detects language from the first turn and stays in that language unless the applicant switches.
The agent reads applicant context from your admission portal (where they are in the funnel, what programs they applied to, which documents they've submitted) and writes back interaction summaries, callback requests, and counsellor handoffs. Standard portals (Camu, Linways, in-house Oracle) integrate via REST APIs.
Sub-500 ms voice latency end-to-end on a modern landline or mobile connection. Voice synthesis is natural enough that most applicants don't realise they're on an AI agent for the first 30 seconds, and the agent identifies itself as AI when asked.
Stop losing applicants to a missed phone call.
Hear a live demo of the agent on a sample admission call with our team.
Schedule a call