AI use case

AI assistant for student enrollment and student services

A student enrollment and services assistant is an AI assistant that answers admitted and current students' questions about admissions, financial aid, registration, housing and deadlines. It answers them by text message and web chat, sends timely reminders for the tasks each student still has to complete, and hands personal or complex cases to staff.

By Len Debets · Last verified 27 September 2026 · 12 public deployments

28%
Reported contact deflection
Empire State University, vendor claim.
97%
Reported customer satisfaction
University of Cape Town, vendor claim.
USD 25,000 to USD 240,000
Indicative value per year
A public university with 30,000 students and 6,000 new students a year. Worked example, see how it is calculated.

What problem does it solve?

Between acceptance and the first day of class, students face a string of administrative hurdles: financial aid forms, verification documents, immunization records, placement tests, housing and registration. Students without someone to guide them can stall at any one of these steps, and some simply never show up, a pattern known as summer melt. Georgia State University describes it as a problem for at risk students, especially those from urban school districts.

Admissions and student service offices cannot answer thousands of repetitive questions at the moment students ask them, often in the evening and at weekends, and mass emails go unread. The same pattern continues after enrollment: students do not know which office to contact, deadlines pass, and staff spend their time on questions a published policy already answers instead of on the students who need a person.

  • Georgia State University, listing Lindsay Page and Ben Castleman's book Summer Melt (2014) among its sources, reports that as many as 20 percent of students from urban school districts who are admitted to college and confirm their intent to enroll never attend any post secondary institution.Reduction of Summer Melt (Internet Archive snapshot) (2014)

How does it work?

  1. Know each student's open tasks. The assistant reads from the student information system which steps each admitted or current student has still to complete: aid documents, deposits, immunizations, orientation, registration.
  2. Nudge at the right time. It sends short, personal reminders by text message before each deadline, and short surveys (for example intent to enroll) whose answers flow back to staff.
  3. Answer questions around the clock. Students reply or ask in their own words; answers come from the institution's approved policies, deadlines and office information.
  4. Route what needs a person. Questions about a student's own aid package, a crisis, wellbeing or anything the knowledge base does not cover go to the right office with the conversation attached.
  5. Learn from the questions. Staff review the most common questions and failed answers to fix confusing web pages and processes, not only the bot.
Audience
Customer facing
Autonomy
Supervised agent
Adoption
Early adopters
Channels
SMS, Web chat, WhatsApp, Mobile app

What is it worth?

Benchmarks are computed from the public deployments below: one data point per organization per KPI, with who made each claim.

Value benchmarks for AI assistant for student enrollment and student services
KPIMedianReported rangeData pointsClaimed by
Interactions handledNot pooled
4294 to 200,000
42 organization, 2 vendor
Hours savedNot pooled
357 hours to 12,000 hours
22 organization
Contact deflectionToo few to pool
28%
11 vendor
Customer satisfactionToo few to pool
97%
11 vendor

Value drivers: Inclusion and access, Customer experience, Employee productivity, Lower cost to serve.

Indicative value

A public university with 30,000 students and 6,000 new students a year

USD 25,000 to USD 240,000

Staff time released for student support per year

How this is calculated

Formula: questions * handledShare * minutesPerMessage / 60 * staffCostPerHour. The low scenario uses every low input, the high scenario every high input.

InputLowHighBasis
Student questions and replies per year across admissions and student services questions, messages per year100,000200,000Editorial assumption. For scale, Georgia State reports more than 200,000 answers to incoming students in one summer, and Mainstay reports 81,167 messages handled in a year by Adelphi University's assistant.
Share of messages the assistant handles without staff handledShare, fraction of messages0.50.8Editorial assumption, replace with your own data after a first term.
Staff minutes per message minutesPerMessage, minutes per message12Mainstay's case study for Adelphi University assumes approximately one minute per message; the high value allows for emails and calls that take longer. Editorial assumption, replace with your own.
Fully loaded cost of a staff hour staffCostPerHour, USD per hour3045Editorial assumption, replace with your own cost.

What it leaves out: Counts staff time only. It leaves out the larger effect that institutions such as Georgia State report, more admitted students actually enrolling, and the cost of the platform, integration and content upkeep.

Who already uses it?

12 public deployments, strongest evidence first. Grades: A regulator or audit, B the organization itself, C vendor case study, D anonymous or estimate.

Sharjah Maritime Academy

United Arab Emirates · Education · 2026

ProductionGrade B

Sharjah Maritime Academy unveiled Majid on 15 July 2026, a voice and chat assistant for prospective students and parents. It explains programmes and admission requirements, links to the online application portal, answers admission and registration questions at any hour and connects users to an admissions advisor when personal support is needed. A chat window was live on the academy website in November 2026. The academy has published no usage or outcome figures.

No outcome disclosed.

University of Northampton

United Kingdom · Education · 2026

PilotGrade B

From March 2026 the University of Northampton piloted Kaltura's conversational avatar platform with staff and students. The first avatar, NORA, was set up to give information about the University and point users to the right services, followed by a second avatar and one modeled on a staff member. Testers valued fast, multilingual answers for simple information questions, asked for real time captions, and worried about replacing human contact. Avatars that copied a known person raised expectations the tool could not meet. The University's report lists FAQ answers, out of hours signposting and multilingual access as the best fit.

No outcome disclosed.

University of Central Florida

United States · Education · 2025

ScaledGrade B

The University of Central Florida runs Knightbot, a Mainstay powered assistant that matches student questions on academics, financial aid and campus resources to a curated, staff approved knowledge base and answers by text message and on university websites. The university says it chose this design over generative AI. Since January 2023 its knowledge base has grown from six units to more than 50 and it has fielded more than 459,000 incoming messages from 277,000 unique users. The university reports that 85% of student queries are resolved without human intervention and that about 12,000 staff hours were freed.

  • Containment rate: 85%, student queries since launch in January 2023, as stated in October 2025
    "And this new way to help students with questions whose answers may be found on the university website means that UCF can resolve 85% of student queries without any human intervention, thanks to a vast, pre-approved knowledge base that includes most colleges, many departments and nearly all support units across UCF campuses."
    Claimed by: organization
  • Hours saved: about 12,000 hours, cumulative from January 2023 to October 2025 (about 33 months), not per year
    "This efficiency saves time for students and has also freed up approximately 12,000 hours of staff time since January 2023."
    Claimed by: organization

University of Hawaii

United States · Education · 2025

ProductionGrade B

The University of Hawaii system runs proactive text message chatbots, one per campus, from EdSights across all 10 campuses as part of a common standard of care for student success. Between August and December 2025 students sent 72,089 texts. The chatbots answer questions, connect students to university resources and flag students to staff for follow up, including students who report feeling nervous or overwhelmed. The university reports 4,294 questions answered without human intervention and about 357 staff hours saved in that period.

  • Interactions handled: 4294, questions answered without human intervention, 1 August to 10 December 2025
    "The AI tool answered 4,294 student questions without any human intervention, saving staff approximately 357 hours."
    Claimed by: organization
  • Hours saved: about 357 hours, 1 August to 10 December 2025, not per year
    "The AI tool answered 4,294 student questions without any human intervention, saving staff approximately 357 hours."
    Claimed by: organization

Georgia State University

United States · Education · 2016

ScaledGrade B

Georgia State University combined a new student portal, which guides incoming students through the steps needed before the first day of classes (such as financial aid documents, immunization records, placement exams and class registration), with "Pounce", an AI enhanced chatbot that answers their questions around the clock by text message. The assistant vice president of undergraduate admissions said every interaction was tailored to the specific student's enrollment task.

In its first summer (2016) Pounce delivered more than 200,000 answers and the university, with the portal and the chatbot together, reduced summer melt by 22 percent, an additional 324 students in class on the first day. Separately, in a randomized control trial the university saw a four percent overall decrease in the share of confirmed freshmen who did not enroll, and it says those gains came from the students who had access to Pounce.

The same executive said the university would otherwise have needed 10 more full time staff to handle the volume of messaging.

  • Interactions handled: at least 200,000, first summer of implementation, 2016
    "In 2016, during the first summer of implementation, Pounce delivered more than 200,000 answers to questions asked by incoming freshmen, and the university reduced summer melt by 22 percent."
    Claimed by: organization

University of Maryland Eastern Shore

United States · Education · 2026

ProductionGrade C

The University of Maryland Eastern Shore's admissions and enrollment team, led by Dr. Reginald Garcon and Darryl Isom, faced more than 500 unresolved registration holds each term, often for small fixable issues such as missing vaccination records, and could not reach every student one on one. Working with Mainstay, the university used AI enhanced, research backed text message conversations to proactively reach every student with a hold, give clear next steps, and escalate complex cases to staff.

The case study reports that the 500 unresolved holds dropped to just 27, freeing staff to focus on high need students, and describes four consecutive years of enrollment growth at the university. UMES is now extending the same AI enhanced outreach to nontraditional and online students.

No outcome disclosed.

University of Arizona Eller College of Management

United States · Education · 2025

ProductionGrade C

The Eller College of Management at the University of Arizona launched a multilingual Ivy and Ocelot chatbot from Gravyty in December 2023 across its graduate program pages, to answer prospective students' questions about admissions, deadlines and tuition. Chatbot data showed that inconsistent tuition displays caused repeat questions, and the college standardized them. Gravyty reports 2,917 chatbot interactions with 76% of frequently asked questions resolved.

  • Containment rate: 76%, frequently asked questions, since launch in December 2023
    "76% of frequently asked questions resolved (above industry best practices)"
    Claimed by: vendor

University of Cape Town

South Africa · Education · 2025

ProductionGrade C

The University of Cape Town upgraded EduBot, its student support chatbot, from a rule based menu system to a generative AI assistant on 28 May 2025. The assistant is trained on university documents and web content and supports more than 100 languages, with handover to human agents. In the first 90 days it served 43,600 unique users, mostly prospective undergraduates. The story, published by Verge AI, the AI division of SIS Global, in its vendor channel on ITWeb, reports that 93% of users had their questions answered without human intervention and a 97% satisfaction score from 3,823 ratings.

  • Containment rate: 93%, share of users, first 90 days after the AI upgrade of 28 May 2025
    "Most remarkably, 93% of users had their questions answered without requiring human intervention."
    Claimed by: vendor
  • Customer satisfaction: 97%, first 90 days after the AI upgrade, from 3,823 user ratings; the scale behind the share is not defined
    "EduBot achieved a 4.8/5 star rating and 97% satisfaction score."
    Claimed by: vendor

Adelphi University

United States · Education · 2022

ProductionGrade C

Adelphi University launched Adele, a conversational AI assistant on the Mainstay platform, on its website in January 2022 and extended it to two way text messaging for about 6,000 current students in March 2023. Adele sends reminders about academic and financial deadlines, answers questions from a shared knowledge base, enabled generative AI in July 2025 and requests a human from the right office by email when needed.

A cross office task force coordinates campaigns, and the university adopted a policy for text messaging in June 2024. The vendor reports 81,167 messages handled by the bot in the past year. Assuming approximately one minute per message, the vendor estimates this at 1,353 staff capacity hours; that is a modeled figure, not a measured saving, so it is not recorded as a metric.

  • Interactions handled: 81,167, in the past year, per the case study
    "81,167 messages handled by the bot"
    Claimed by: vendor

Empire State University

United States · Education · 2021

ProductionGrade C

SUNY Empire State University, a State University of New York institution that serves mainly adult learners across New York, launched the virtual assistant "Blue" on the Ocelot platform in 2021 as the self service arm of its 1Stop Student Services team. Blue answers prospective and current students around the clock in English, Spanish and simplified Chinese about financial aid, records and registration, student accounts, admissions and deadlines.

It gives a personalized answer after the student logs in, and when it has no answer it offers a short form that is routed to the 1Stop team. The call center pointed callers on hold to Blue during the launch year. The university says that generative AI through Ocelot has improved the answers and led to fewer escalations.

Ocelot reports that Blue handled more than 17,000 conversations in 2021 and that call volume in the Fall 2021 peak period dropped 28 percent.

  • Interactions handled: at least 17,000, in 2021, the launch year
    "The virtual assistant handled more than 17,000 conversations and successfully expanded after-hours student services by 33%."
    Claimed by: vendor
  • Contact deflection: 28%, Fall 2021 peak service period
    "Overall call volume during the Fall 2021 peak service period dropped 28%, and enrolled credits were up, a historic achievement for the organization."
    Claimed by: vendor

Austin Peay State University

United States · Education · 2017

ProductionGrade C

Austin Peay State University introduced a Mainstay text message chatbot, "The Gov", in 2017 to send incoming students orientation information and nudges, and later interactive surveys. Its first intent to enroll campaign in 2019 received a 40% response rate within a day, which Mainstay's case study says would have taken more than a month by paper survey, and showed staff which students still planned to attend. According to the case study (about 2020), the chatbot was also used for housing, advising and event updates.

No outcome disclosed.

University of West Florida

United States · Education · 2017

ProductionGrade C

The University of West Florida launched its chatbot, Argie, in the fall of 2017, becoming the first school in Florida to use an AI chatbot for recruitment. With the first cohort of incoming freshmen, Mainstay's case study reports a 2 percent increase in completed applications and a 3 percent increase in conversion from confirmed to enrolled.

UWF then introduced Argie to transfer students mid cycle for fall 2019, with a 3.5 percent increase in completed transfer applications and a 1.8 percent increase in transfer enrollment, and gave it a full recruitment cycle for spring 2020, when the university reported a 33.3 percent increase in completed applications and a 35 percent increase in enrollment confirmations among transfer students.

Argie sent proactive nudges and non transactional messages, including a campaign to students with missing application items, to help students feel a sense of belonging before arriving on campus. Following these results UWF began extending Argie to retention as well.

  • Conversion uplift: 3%, first cohort of incoming freshmen after the fall 2017 launch
    "After seeing positive results with the first cohort of incoming freshman (a 2% increase in completed applications, and a 3% increase in conversion from confirmed to enrolled), UWF decided to introduce Argie to transfer students as well."
    Claimed by: vendor

How do you implement it?

A model agnostic playbook: what to prepare, the order to build in, and what goes wrong.

Data you need

  • Current, owned content per office (admissions, aid, registrar, housing, bursar)
  • Each student's open enrollment tasks and deadlines from the student information system
  • Mobile numbers with consent to receive text messages

Systems to integrate

  • Student information system and admissions CRM
  • Messaging (SMS, WhatsApp) and web chat on the institution's site
  • Ticketing or case routing to each student service office
  • Single sign on for questions about a student's own record

Complexity: Medium

Answering general questions is straightforward. The value comes from personal nudges, which need a clean feed of each student's open tasks from the student information system, consent for text messaging and a working handover to several offices.

  1. 1

    Map the drop off points

    List the steps between acceptance and the first day (or between terms) where students stall, and the questions they ask at each. Use last year's data on who did not show up.

  2. 2

    Clean up the content first

    Give each office ownership of its answers with a review date. The assistant is only as good as the policies and deadlines behind it.

  3. 3

    Design nudges with the offices

    Agree the reminder calendar and wording with admissions, aid and the registrar, keep messages short and personal, and respect quiet hours and opt outs.

  4. 4

    Define the handover

    Decide which topics go to which office and within what time, and pass the conversation along so students do not repeat themselves.

  5. 5

    Measure against a comparison group

    Where possible, compare enrollment and task completion with students who did not receive the assistant, as Georgia State did in a randomized trial, rather than counting messages alone.

Guardrails

  • Answers only from approved institutional content, with a refusal and a route to staff otherwise
  • No decisions on admission, aid or placement; the assistant informs and reminds
  • Opt in and opt out for text messaging, with quiet hours
  • Crisis and wellbeing keywords routed to trained staff immediately
  • Personal data minimized in messages and masked in logs

KPIs to instrument

  • Enrollment or task completion rate versus a comparison group
  • Messages handled without staff and handover rate by topic
  • Response rate to reminders and surveys
  • Student satisfaction with answers
  • Opt out rate from text messaging

Human in the loop

Staff in each office own their content and handle every case that concerns a student's own record, money or wellbeing. A cross office group decides campaign strategy, timing and wording, as the task force Adelphi University set up does. Someone should also review unanswered questions and handovers every week.

Common failure modes

Nudges that become noise
Too many or generic messages lead to opt outs, and billing reminders crowd out help. Coordinate campaigns centrally and keep them relevant to each student's open tasks.
Stale answers
Deadlines and policies change each term. Give every answer an owner and a review date.
Bot as a wall
Students with urgent or personal problems cannot reach a person. Make handover easy and fast, and monitor repeat questions.
Counting messages, not outcomes
Message volume says little about whether more students enrolled or completed tasks. Measure outcomes against a comparison group.

What are the risks and rules?

EU AI Act

Depends on design

An assistant that answers questions and sends reminders falls under the transparency duty of Article 50. It becomes high risk under Annex III point 3(a) if it is used to determine access or admission or to assign students to institutions, and under point 3(c) if it assesses the level of education a student will receive. Keep admission and placement decisions with staff.

Guidance

Controls to put in place

  • AI disclosure in the first message and on the chat widget
  • Consent records for text messaging and an easy opt out
  • Content ownership and review dates per office
  • Data protection impact assessment covering education records used for personalization
  • Weekly review of unanswered questions and handovers

Frequently asked questions

Can a chatbot really reduce summer melt?

Georgia State University reports that in the first summer its Pounce chatbot delivered more than 200,000 answers to incoming students, and that a new student portal and Pounce together reduced summer melt by 22 percent, an additional 324 students in class on the first day. Separately, in a randomized control trial the university saw a four percent overall decrease in the share of confirmed freshmen who did not enroll, and it says those gains came from the students who had access to Pounce.

Do students actually respond to text message nudges and surveys?

Mainstay's case study for Austin Peay State University reports that the university's first intent to enroll campaign by text, in 2019, received a 40% response rate, and that staff could see which students planned to attend within one day. The vendor says the same task would have taken over a month by paper survey. It gives no enrollment figures, so this shows engagement, not outcomes.

How much staff time does it save?

Mainstay's case study for Adelphi University reports 81,167 messages handled by its assistant Adele in the past year, which it estimates at 1,353 staff hours assuming approximately one minute per message. That is the vendor's estimate, not a time study. Georgia State's assistant vice president of undergraduate admissions said the university would have needed 10 more full time staff to handle the volume without Pounce.

Is an admissions chatbot high risk under the EU AI Act?

Not if it only informs and reminds; then the transparency duty applies. It is high risk under Annex III point 3(a) if it determines access or admission, so admission decisions should stay with admissions staff.

How to cite this page

Blits.ai AI Use Case Library, "AI assistant for student enrollment and student services", last verified 27 September 2026, https://www.blits.ai/ai-use-cases/student-enrollment-and-services-assistant. Licensed under CC BY 4.0. Method: how we verify use cases.

Changelog
  • 11 November 2026: Added deployments: Empire State University, Sharjah Maritime Academy, University of Arizona Eller College of Management, University of Cape Town, University of Central Florida, University of Hawaii.
  • 14 October 2026: Added deployments: University of Northampton.
  • 29 September 2026: Added deployments: University of West Florida, University of Maryland Eastern Shore.
  • 27 September 2026: First published

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