Each admissions season follows a similar pattern. There is a sharp increase in the number of enquiries; counsellors are asked the same questions over and over again, and it is precisely the students who require a follow-up call at the right time who are most likely to be missed. Regarding course information, fees, eligibility and deadlines: the questions never change, but the large volume of them makes it impossible for a small counselling team to deal with them at the speed that applicants expect.
ConvoZen’s AI Voice Agent for Student Admissions was designed specifically to deal with this situation; it answers admission calls as soon as they are received, assesses prospective students according to their intent, and ensures that all applications progress with the use of automated follow-ups and reminders, enabling counsellors to focus on the conversations which actually determine whether a student will enrol.
Since admission cycles are seasonal, it is difficult to staff them.
The AI voice agent used by universities and colleges does not take the place of the counselling team; instead, it takes on the repetitive and high-volume aspect of the admissions process so that the team can concentrate on those applicants who require a genuine conversation.
The AI calling agent for colleges developed by ConvoZen is based on the same conversational AI infrastructure that is used in contact centres within the BFSI, healthcare, real estate, and e-commerce sectors, but has been modified to suit the admissions process. It deals with both inbound enquiries and outbound calls relating to admission, in real time, and does not require a counsellor to be on the phone.
The AI Voice Agent developed by ConvoZen on its AI Voice Agent for Inbound Calling answers common questions as soon as a student makes a call, for example, regarding course structure, the fee breakdown, scholarship eligibility, intake dates, or information about campus facilities. Nowadays, students do not have to wait on hold or ask for a callback when the question has a standard answer.
It is not necessary for every enquiry to be referred to a counsellor right away. During the call, the voice agent records the customer’s intent, their interest in the course, and basic eligibility information before sending those applicants with high intent to the appropriate counsellor, having already included that context rather than making a cold transfer.
It is easy for manual tracking to lose sight of applicants who begin a form and then stop halfway, or those who have not replied to an offer letter. The system, which is powered by ConvoZen’s AI Outbound Calling Agent, conducts admission follow-up calls on a large scale and recontacts these students according to a schedule that a human team could not maintain when dealing with thousands of applicants.
Information about payment deadlines, the time frames for submitting documents, and confirmation dates is promptly given to the student or their parent, rather than relying on repeated and ill-timed reminder calls.
If a query requires a human decision – for example, a request for a fee waiver or an admission appeal, the agent will transfer the call to a counsellor together with the student’s enquiry history and application status so that the student does not have to go over the same points again.
Indian admission interviews are seldom conducted entirely in English. The ConvoZen voice system is based on Akshara, our ASR model, which has been tested in a variety of multilingual Indian languages, combined with Ragini, our text-to-speech engine, so that the agent will be able to have natural conversations in the languages that your applicants and their parents actually use, not just those that were used in your admissions script.
The admissions voice agent is integrated with your current blended call centre workflows rather than being separate from them. Call Analyser evaluates each call so that your admissions team can see trends in the queries and identify where enquiries tend to stall, while Pitch Pop, which is part of ConvoZen’s Performance Management AI, provides counsellors with real-time assistance during the calls that still require a human agent. When your organisation also operates a WhatsApp helpline for admissions, the same conversational capability is available there via ConvoZen’s WhatsApp AI Agent. As a result, the AI component and your counselling team operate on the same data rather than using separate systems.
The economic aspects of this change are well documented. Gartner predicts that conversational AI deployments in contact centres will lead to a reduction in agent labour costs of $80 billion by 2026, with one in 10 agent interactions being automated, compared to an estimated 1.6% at present. Admissions teams are exactly at the heart of this shift: because of their high call volume, seasonal peaks, and the large number of repetitive queries, the funnel represents one of the most obvious situations for automation, without taking the human counsellor out of the decisions that truly require a human.
No, it deals with a large number of repetitive inquiries and follow-ups and passes on to a counsellor any cases that involve judgment, such as a fee waiver or an admission appeal, complete with all the relevant context already attached.
Yes, it uses ConvoZen’s Akshara ASR and Ragini TTS models, these models having been developed specifically to support multiple Indian languages rather than being designed for use with English scripts only.
The agent fits into your call centre workflows and works in conjunction with Call Analyser and Pitch Pop, which means that enquiry data, call outcomes, and counsellor assistance all remain within the same system rather than being placed in a separate tool.
Yes, it handles inbound admission enquiries as they arrive and also carries out outbound calls for follow-ups, fee reminders, and to re-engage applicants who have gone quiet.
Yes it is designed for the high volume experienced during peak season. It operates throughout the year, including rolling admissions, fee reminders, and follow-ups outside of the main intake period.