Industry · Vocational, enrichment and corporate training

Education & training

Enrollment, lesson prep and course content — so teachers can teach.

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Pain points

What keeps owners up at night

High enquiry volume, slow replies, low conversion

Manual timetabling and rescheduling

Slow courseware updates and uneven teaching quality

Repetitive student questions spread across chat groups

Roles

Which roles AI transforms, and which it augments

“Transform”: AI executes, people spot-check. “Augment”: AI drafts and prompts, people decide.

Role	Mode	What AI does / what people keep
Admissions advisor	Augment	24/7 AI first-round answers and lead scoring
Timetabling	Transform	AI drafts timetables and changes
Lesson prep	Augment	AI drafts lesson plans, slides and question banks
Course content	Augment	AI drafts short-video lessons and articles
Student service	Transform	Standard questions answered by AI

Department agents

AI employees we typically deploy

Admissions AgentTimetabling AgentCourseware AgentStudent Service AgentCockpit Agent

Super AI Workbench

Campus operations board: the workbench for this industry

Demo UI with placeholder numbers.

BOOK.AI · Campus operations boardDemo UI · placeholder numbers

Cockpit
AI employees
Workflows
Knowledge
Audit log

Revenue¥ ——

Labor cost¥ ——

Output / person——

Open exceptions——

AI task completion by department (illustrative)

Sales

Ops

Finance

Supply

AI assistant · Monday briefing

Enrollment funnel: leads, visits, sign-ups
Timetables and teacher utilization by campus
Courseware updates and quality feedback
Student service tickets and satisfaction

Sample case

A sample case from this industry

AI-generated

Sample caseEducation

A vocational education group (sample)

+18%Enquiry-to-enrollment conversion

−70%Timetabling hours

−22%Operations headcount

“For the first time, all six campuses are on one screen. I know where the money goes and where students come from.”— Group CEO (sample quote)

What we did in this sample case

01 Diagnose, 3 weeks: org mapping across 6 campuses
02 90-day pilot: admissions Q&A and timetabling
03 Months 4–12: courseware and student service

Read the full case →

FDE in practice

Public FDE practice in this industry

Third-party cases from public reports — unrelated to the BOOK.AI sample above — to show how this industry is approaching AI.

Case information is compiled from public reports; figures are as reported by the original sources, and all rights belong to their owners. BOOK.AI was not involved in any of these projects.

Screenshot of the source page (captured 2026-10-19): Chongqing Finance and Economics College (iFLYTEK AI College) — © China News Service (page screenshot; content © source) · Image source

Public case · not a BOOK.AI clientEducation & training · China

Chongqing Finance and Economics College (iFLYTEK AI College) × iFLYTEK

FDE intensity: MediumCo-build (industry college)

Teacher prep efficiency +55%; grading time −95% (Python course pilot)

As reported by China News Service · 2025-04-25 · media report

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Background

Lesson prep, question setting and grading took teachers a long time.

How the FDE work was done

Combined iFLYTEK’s engineering center with campus teaching; teachers and students co-built the system and piloted it in a course.

Results (as reported by China News Service)

In the Python course pilot, prep efficiency +55% and grading time −95%.

Takeaways

Pilot in one course, then scale — a safe rhythm for education.

Provider: iFLYTEK
Delivery mode: Co-build (industry college)
Region: China

Read the original ↗Original title (Chinese): “AI+教育”赋能重庆高校构建智慧教育生态-中新网重庆

English summary by BOOK.AI; figures as reported by China News Service. Quotation marks indicate wording from the source.

Screenshot of the source page (captured 2026-10-19): Xiamen University School of Public Affairs — © Baidu AI Cloud (page screenshot; content © source) · Image source

Public case · not a BOOK.AI clientEducation & training · China

Xiamen University School of Public Affairs × Zhongshu Xinke × Baidu AI Cloud

FDE intensity: MediumJoint R&D

No figures disclosed

As reported by Baidu AI Cloud · 2024-2025 · provider-published

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Background

Non-CS students lacked a real hands-on environment for large models.

How the FDE work was done

The school and Zhongshu Xinke co-developed a teaching platform; Baidu AI Cloud provided Qianfan Lite for fine-tuning and agent-building practice.

Results (as reported by Baidu AI Cloud)

No quantified results disclosed.

Takeaways

A real sandbox for hands-on practice is an effective way to train business staff.

Provider: Zhongshu Xinke × Baidu AI Cloud
Delivery mode: Joint R&D
Region: China

Read the original ↗Original title (Chinese): 众数信科-百度智能云

English summary by BOOK.AI; figures as reported by Baidu AI Cloud. Quotation marks indicate wording from the source.

Image from the source page: Khan Academy — © OpenAI; rights reserved by the owner · Image source

Public case · not a BOOK.AI clientEducation & training · US

Khan Academy × OpenAI

FDE intensity: MediumEarly pilot partnership

No figures disclosed (launched as a “limited pilot program”)

As reported by OpenAI · 2023-03 · provider-published

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Background

Students’ understanding varies widely; teachers can’t tutor everyone one-to-one.

How the FDE work was done

Khan Academy began testing GPT-4 with OpenAI in 2022 and launched Khanmigo responsibly as a limited pilot.

Results (as reported by OpenAI)

No quantified results disclosed.

Takeaways

Limited pilot first, then expand — the responsible way to launch AI.

Provider: OpenAI
Delivery mode: Early pilot partnership
Region: US

Screenshot of the source page (captured 2026-10-19): Khan Academy — © OpenAI (page screenshot; content © source) · Image source

Read the original ↗Powering virtual education for the classroom | OpenAI

English summary by BOOK.AI; figures as reported by OpenAI. Quotation marks indicate wording from the source.

Image from the source page: Quanzhou Ocean Institute — © Quanzhou Ocean Institute; rights reserved by the owner · Image source

Public case · not a BOOK.AI clientEducation & training · China

Quanzhou Ocean Institute × Zhipu AI, Jiangsu Wisedu

FDE intensity: LightCourse co-build

43 AI courses built with Zhipu AI and Jiangsu Wisedu

As reported by Quanzhou Ocean Institute · 2025 (no exact date) · company statement

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Background

A vocational college needed AI in courses and daily campus services.

How the FDE work was done

Building a smart campus since 2020, the college co-built 43 AI courses with partners and deployed DeepSeek-R1 for teaching and services.

Results (as reported by Quanzhou Ocean Institute)

43 AI courses built; other results not disclosed.

Takeaways

Course co-building shows that training itself is a deliverable worth productising.

Provider: Zhipu AI, Jiangsu Wisedu
Delivery mode: Course co-build
Region: China

Screenshot of the source page (captured 2026-10-19): Quanzhou Ocean Institute — © Quanzhou Ocean Institute (page screenshot; content © source) · Image source

Read the original ↗Original title (Chinese): 学校全场景接入 DeepSeek-R1 模型构建智慧教育新生态-党委宣传部-泉州海洋职业学院

English summary by BOOK.AI; figures as reported by Quanzhou Ocean Institute. Quotation marks indicate wording from the source.

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