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AI use cases in education

9 AI agents that education companies run today, grouped by the team they work for. For each one: the process, what the AI does, where people step in and the result the company reported.

Customer service

In production · reported 2026

225K questions answered

Learner service for orders, returns and logins

Global education company

What the AI does: Routes requests to specialist agents that check order history in the ERP, process returns end to end, track orders and resolve login issues.
Where people step in: Out-of-scope requests, or customers who prefer a human, transfer to a rep with context.
Systems: CRM · ERP · Data warehouse · Contact center

In production · reported 2025

150+ conversations since launch

Prospective learner inquiries and student support

US university for adult learners

What the AI does: Answers prospective learners' questions in website chat around the clock and is set to replace the student portal chatbot.
Where people step in: Nuanced out-of-scope questions go to a student support advisor with conversation context.
Systems: CRM · LMS · Web chat

In production

85%+ questions answered instantly

Learner support, refunds and cohort transfers

US online design education provider

What the AI does: Answers routine learner questions around the clock in the helpdesk, handles refunds and cohort transfers with CRM context and runs troubleshooting diagnostics.
Where people step in: Complex issues reach human agents faster.
Systems: Helpdesk · E-commerce platform · CRM

In production

87% of volume resolved without human

Teacher support and refund pre-qualification

UK AI lesson-resource startup

What the AI does: Answers support questions in 40+ languages and pre-qualifies refunds by checking subscription type and date against policy and explaining eligibility.
Where people step in: People keep approving refunds, account changes and anything touching payments.
Systems: Helpdesk · Website

In production · reported 2025

AI agent CSAT 4.8/5

Member chat support for adult learners

US workforce education benefits platform

What the AI does: Handles transactional member chat questions 24/7 in 20+ languages, including tuition reimbursement scenarios.
Where people step in: Specialists handle complex interactions; members who want a human can still reach one.
Systems: CRM · Contact center · Web chat

Sales

In production · reported 2025

150+ conversations since launch

Prospective learner inquiries and student support

US university for adult learners

What the AI does: Answers prospective learners' questions in website chat around the clock and is set to replace the student portal chatbot.
Where people step in: Nuanced out-of-scope questions go to a student support advisor with conversation context.
Systems: CRM · LMS · Web chat

Operations

In production

-45% prior auth handling time

Prior authorization packet assembly and submission

US campus health center

What the AI does: Gathers provider notes, imaging history and allergies from the EHR, generates the clinical packet and drafts answers to payer portal clinical questions.
Where people step in: Errors such as missing allergies create staff tasks with instructions; staff complete submissions.
Systems: EHR · Portal

In production

94.87% reduction in document screening time

Admissions document screening and report extraction

Asian university

What the AI does: Extracts information from varied documents, including tables and graphs, applies user-defined screening criteria and emails results as PDF or spreadsheet.
Where people step in: Staff set the criteria and use outputs to identify qualified candidates.
Systems: Email · Spreadsheets · RPA

Pilot

4x students per coach

Coach session prep and answer lookup

US nonprofit college-access program

What the AI does: Gives coaches instant answers and summaries of past sessions and takeaways from student data before each session.
Where people step in: Coaches deliver support to students; the agent assists them.
Systems: CRM

Finance

In production · reported 2023

80% of invoices processed without intervention

Centralized AP invoice processing and approvals

Global school operator, ~100 locations

What the AI does: Processes most invoices end to end, including coding and approval routing, without human intervention.
Where people step in: The AP team handles the 20% of invoices not processed automatically.
Systems: ERP

In production

94.87% reduction in document screening time

Admissions document screening and report extraction

Asian university

What the AI does: Extracts information from varied documents, including tables and graphs, applies user-defined screening criteria and emails results as PDF or spreadsheet.
Where people step in: Staff set the criteria and use outputs to identify qualified candidates.
Systems: Email · Spreadsheets · RPA

In production

85%+ questions answered instantly

Learner support, refunds and cohort transfers

US online design education provider

What the AI does: Answers routine learner questions around the clock in the helpdesk, handles refunds and cohort transfers with CRM context and runs troubleshooting diagnostics.
Where people step in: Complex issues reach human agents faster.
Systems: Helpdesk · E-commerce platform · CRM

In production

87% of volume resolved without human

Teacher support and refund pre-qualification

UK AI lesson-resource startup

What the AI does: Answers support questions in 40+ languages and pre-qualifies refunds by checking subscription type and date against policy and explaining eligibility.
Where people step in: People keep approving refunds, account changes and anything touching payments.
Systems: Helpdesk · Website

HR

In production · reported 2025

AI agent CSAT 4.8/5

Member chat support for adult learners

US workforce education benefits platform

What the AI does: Handles transactional member chat questions 24/7 in 20+ languages, including tuition reimbursement scenarios.
Where people step in: Specialists handle complex interactions; members who want a human can still reach one.
Systems: CRM · Contact center · Web chat

Anonymised summaries of public case studies published from 2023 to 2026. Company and vendor names are withheld. Figures are as the companies reported them; they are not Retexa results.

Questions

AI in education

What are the most common AI use cases in education?

In the 9 public cases we collected, AI agents in education work mostly in customer service, finance and operations. Examples: learner service for orders, returns and logins; prospective learner inquiries and student support; learner support, refunds and cohort transfers.

Where do people stay in the loop?

Each card says where people step in. In this industry, for example: out-of-scope requests, or customers who prefer a human, transfer to a rep with context; nuanced out-of-scope questions go to a student support advisor with conversation context.

Are these Retexa results?

No. These are anonymised summaries of public case studies from 2023 to 2026, with company and vendor names withheld. Figures are as the companies reported them. Retexa builds the same kind of agents on top of the systems you already run.

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