Enrollment and program questions

---
title: "Enrollment and program questions: AI Use Case"
description: "Answer prospective and current students’ routine questions about programs, dates, fees and requirements from approved program information, with the source shown, and route anything personal or unclear to admissions or student services staff."
url: https://lidvizion.ai/use-cases/enrollment-and-program-questions/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Customer support

# Enrollment and program questions

Answer prospective and current students’ routine questions about programs, dates, fees and requirements from approved program information, with the source shown, and route anything personal or unclear to admissions or student services staff.

[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Fenrollment-and-program-questions%2F#write) · [Configure your AI](https://lidvizion.ai/services/ai-setup/)

Where it starts

## The trigger.

A student, parent or applicant asks a question through the website, email or a student portal.

How it runs today

- Admissions and student services answer the same questions every day.
- Replies vary by staff member and can quote out-of-date information.
- Questions arriving after hours wait until the next working day.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Collect
   Gather approved program pages, calendars, fee schedules and policies, each with an owner.
2. 02 / Answer
   Answer routine questions from those sources only, showing where each answer came from.
3. 03 / Route
   Send personal, financial-aid, disability or unclear questions straight to the right staff team.
4. 04 / Review
   Staff review a sample of answers each week and update sources that caused wrong or missing answers.

Where people stay in control

## Approval points.

- Admissions and financial-aid decisions are made only by staff.
- Questions about individual circumstances always go to a person.
- Every source document has an owner who keeps it current.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Share of routine questions answered from approved sources.

### Time to first response, including after hours.

### Answers corrected in weekly review.

Related

## Go deeper.

- [Configure your AI](https://lidvizion.ai/services/ai-setup/): Turn individual AI use into a repeatable way of working.
- [Embeddings and feature vectors](https://lidvizion.ai/resources/basics/embeddings-feature-vectors/): How models turn text, images and records into numbers that can be compared.
- [Answer student questions from approved sources](https://lidvizion.ai/guides/answer-student-questions-from-approved-sources/): A four-step playbook to collect approved program information, answer routine questions with sources shown, route personal questions to staff and review answers weekly.
- [How to answer enrollment questions with AI](https://lidvizion.ai/answers/how-to-answer-enrollment-questions-with-ai/): How can a school, college or training provider use AI to answer routine questions about programs, dates and requirements without giving out-of-date information?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Help center gap finder](https://lidvizion.ai/use-cases/help-center-gap-finder/): Customer support Find the questions customers keep asking that your help center does not answer well, and draft new or updated articles for the support team to review and publish.
- [Donor and member questions](https://lidvizion.ai/use-cases/donor-and-member-questions/): Customer support Answer donors’ and members’ routine questions about giving, receipts, memberships, events and volunteering from approved information, with the source shown, and route anything personal, sensitive or about a specific gift to staff.
- [Support triage and reply drafts](https://lidvizion.ai/use-cases/support-triage/): Customer support Classify incoming tickets, find the relevant answer, and draft a reply for an agent to check.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)