Manage Every Enquiry Better with AI Calling for Student Admissions

AI Calling for Student Admissions uses an automated voice agent to conduct defined conversations with prospective students. Depending on the agreed workflow, it can follow up on enquiries, communicate admission information from approved scripts and guide applicants towards the next step. The scripts are developed using your institution's prospectus and fee structure. When a student needs personalised counselling, has a question outside the approved workflow or requires staff assistance, predefined handover rules direct the conversation to a human team member.

Admission enquiries can arrive through different channels, and students may contact an institution at different stages of their decision-making process. A prospective student comparing courses may need eligibility information, while someone who has already started an application may need a reminder about the next step. AI calling helps institutions organise these conversations into repeatable follow-up workflows. It can also support communication in appropriate Indian languages, helping institutions serve applicants who are more comfortable discussing admission details in a language other than English.

AI calling can suit colleges, universities and training institutes that receive recurring enquiries and have clearly defined processes for explaining programmes, following up on applications or arranging counselling. It is particularly useful when staff spend substantial time on routine conversations that follow an approved script. It may be unsuitable when every conversation requires specialist judgement, individual academic advice or sensitive intervention. Institutions without accurate programme information or a defined human-handover process should establish those foundations before automating admission calls.

Troika Tech pricing is equivalent to Rs 9 to Rs 12 per minute, billed per second, with telephony included. Setup is usually waived for a limited period, subject to the applicable arrangement. The overall value depends on the type of workflow being automated, the number of programme-specific scripts, language testing, integration requirements and how the institution uses its calling capacity. Before proceeding, clarify the expected calling pattern, workflow scope and any requirements specific to your admission process.

A narrow workflow, such as a defined reminder process, can go live in a short cycle. Admission calling across several programmes takes longer because each programme needs its own script and every language requires testing on real calls. The implementation must also address applicable TRAI and DLT registration requirements for sender headers and content templates, consent capture and timestamping at enquiry, DND and opt-out handling across campaigns, and disclosure that the caller is automated. Additional care is required when applicant data concerns people under eighteen, including appropriate DPDP handling.

Troika Tech supports English, Hindi, Marathi, Gujarati, Tamil, Telugu, Kannada, Malayalam, Bengali and Punjabi, as well as natural mixed-language speech. This allows institutions to plan conversations around the languages their prospective students use. Through APIs, the calling workflow can connect with education ERPs, student information systems, admission CRMs, counselling calendars, payment links and WhatsApp. The specific integration depends on the institution's existing systems and the relevant API capabilities. Access to applicant information should follow the institution's approved data-handling and consent processes.