NextGen AIEnterprise AI Training

AI Capability Change

Before Training
After Training
AI Understanding+60%
25%
85%
Tool Proficiency+70%
20%
90%
Prompt Skills+73%
15%
88%
Work Application+72%
10%
82%
Average AI Capability Improvement +68%

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Training Results Proven by Numbers

0/5.0

Average Training Satisfaction

0%

Want Repeat / Advanced Training

0

Cumulative Corporate Training Graduates

(2026.01 기준)

AI Training Partners

OP.GG
에듀윌
삼화제작소
세정글로벌
잇존어페럴
대법원
메이플미디어
씨클라임
라이브스메드
수원지법
법원행정처
삼성금융네트웍스
SK경영경제연구소
알파클럽
크리에이티브포스
서울옥션
검문
서울대학교
EBS
CJ
MK유니버셜
크리스탈리
그란데클립
노블레스
한국콘텐츠진흥원
서울디지털미디어고
중소벤처기업진흥공단
안목
OP.GG
에듀윌
삼화제작소
세정글로벌
잇존어페럴
대법원
메이플미디어
씨클라임
라이브스메드
수원지법
법원행정처
삼성금융네트웍스
SK경영경제연구소
알파클럽
크리에이티브포스
서울옥션
검문
서울대학교
EBS
CJ
MK유니버셜
크리스탈리
그란데클립
노블레스
한국콘텐츠진흥원
서울디지털미디어고
중소벤처기업진흥공단
안목
안목
중소벤처기업진흥공단
서울디지털미디어고
한국콘텐츠진흥원
노블레스
그란데클립
크리스탈리
MK유니버셜
CJ
EBS
서울대학교
검문
서울옥션
크리에이티브포스
알파클럽
SK경영경제연구소
삼성금융네트웍스
법원행정처
수원지법
라이브스메드
씨클라임
메이플미디어
대법원
잇존어페럴
세정글로벌
삼화제작소
에듀윌
OP.GG
안목
중소벤처기업진흥공단
서울디지털미디어고
한국콘텐츠진흥원
노블레스
그란데클립
크리스탈리
MK유니버셜
CJ
EBS
서울대학교
검문
서울옥션
크리에이티브포스
알파클럽
SK경영경제연구소
삼성금융네트웍스
법원행정처
수원지법
라이브스메드
씨클라임
메이플미디어
대법원
잇존어페럴
세정글로벌
삼화제작소
에듀윌
OP.GG

왜 대부분의 AI 교육은
'써먹을 수 없을까요?'

01

Don't know where to start

No clear AI adoption direction

"We're using ChatGPT... but I don't know how to apply it to our actual work."

Pain Point01

Tools exist but aren't connected to workflows

Can't scale from individual use to team/organizational use

02

Using tools at only 30% capacity

Lots of features but only copy-paste level usage

"We use GPT, Gemini... but just throw questions at it and copy-paste."

Pain Point02

Not properly using prompt principles, GPTs, automation features

Used only as a 'search replacement' rather than a productivity tool

03

Feeding data to AI is the hardest part

Don't know how to delegate work to AI

"We have lots of materials... but how do we feed them so AI can do the work?"

Pain Point03

Don't know how to connect documents, Excel, Notion, manuals

Humans end up reorganizing everything again

04

Can't move from individual to organizational use

Everyone uses it individually, nothing is shared, nothing becomes a system

"A few people use it well... but overall team productivity is the same."

Pain Point04

Relying on individual know-how

Not structurally embedded in work processes

05

Results aren't visible, so momentum fades

Can't prove the effect of training/adoption

"We've adopted AI... but so what has actually improved by how much?"

Pain Point05

ROI, time savings, throughput improvements aren't measured

Ends up disappearing like a trend

The common cause of these problems

Learning AI as a 'tool' without changing the 'work structure.'

넥스트젠AI는 툴을 가르치지 않습니다.

일을 AI에 맡길 수 있는 구조를 만듭니다.

The larger the organization,
the more deliberate and strategic AI adoption must be

Worried about security incidents?

Solution

AI Governance Strategy Development

We simultaneously build enterprise data security and AI ethics frameworks.

Does each department need different capabilities?

Solution

Role-Specific Customized Thinking Process

We provide curricula optimized for marketing, sales, HR, development, and more.

Hard to measure training effectiveness?

Solution

Data-Driven AI-Q Capability Diagnostic Report

We quantify and visualize capability changes before and after training across 6 metrics.

Why does NextGenAI's training
produce different results?

Because it's an organizational transformation system, not just training.

Most AI training focuses on "teaching well."

NextGenAI focuses on "creating structures where work actually changes."

이 차이를 만드는 것이 바로,

넥스트젠AI만의 실무 적용·정착 중심 교육 운영 시스템입니다.

AI Thinking Process
Step 1

AI Thinking Process

Redesign work so you can delegate to AI

Rather than bringing existing problems as-is, we redefine how each task can be delegated to AI.

Step 1

AI Thinking Process

Redesign work so you can delegate to AI

What data needs to be input and how

What AI can do vs. what humans need to do

How far automation can extend

We establish these criteria first, then design actual working workflows and scenarios with AI.

Role-Specific Practical Work
Step 2

Role-Specific Practical Work

Automate different work across departments in their own ways

For sales, marketing, management support — we build AI workflows matching actual work processes.

Step 2

Role-Specific Practical Work

Automate different work across departments in their own ways

Sales: Customer data analysis and automated proposal generation

Marketing: From content planning to performance analysis

Admin: Automated reports, meeting minutes, schedule management

We design practical automation scenarios directly tied to each department's KPIs.

AI Governance & Security
Step 3

AI Governance & Security

Set the 'enterprise standard' for AI usage

Beyond just using tools, we build a framework for safe and sustainable usage.

Step 3

AI Governance & Security

Set the 'enterprise standard' for AI usage

Enterprise data security guidelines

AI usage ethics framework and policy design

Department access and permission management

We provide a governance framework for sustainable AI adoption.

Protect enterprise security while maximizing productivity

We don't just teach 'how to use GPT well.'
We help you safely leverage your company's data
and establish the 'enterprise standards' for how to manage it.

Practical workflows directly tied to department KPIs

For marketing, HR, sales, and more.
We provide customized curricula that drive results (ROI) for each department.

NextGenAI measures
each team, each person's AI capability
quantitatively measures.

This is not a simple satisfaction survey.

Based on 6 core metrics, we provide NGA's
pre/post capability change analysis reports.

AI UnderstandingTool ProficiencyWork Application RateAutomation Usage LevelWork Productivity ChangeOrganizational Spread Contribution

Company-Wide Average AI-Q

86.6/100

150/150 participants

Exam Status

100%

150/150 participants

AI Talent

65 participants

Total 88%

Capability Distribution

S
48
A
51
B
51

AI-Q 6 Core Capability Metrics

*Company-wide basis
AI Understanding85
Tool Proficiency78
Work Application72
Automation Usage68
Productivity Change82
Organizational Spread75

Capability Change Before/After Training

AI Understanding+57%
85
Tool Proficiency+56%
78
Work Application Rate+54%
72
Automation Usage Level+53%
68
Work Productivity Change+50%
82
Organizational Spread Contribution+50%
75
Average +54% Growth
Average AI Capability Improvement +68%
Work Productivity Increase +45%
Organizational Spread Rate 92%

왜 많은 기업의 AI 교육은 실패할까요?
시작점이 다르기 때문입니다.

우리 조직의'AX-Level', 지금 어디부터 시작해야 할까요?

01.

Pre-Diagnosis

AI-Q Capability Assessment

02.

Strategy Development

Customized Curriculum Design

03.

Customized Training

Role- and Level-Specific Practical Training

04.

Post-Evaluation

Performance Analysis & Governance Guide

서울대

서울대

KAIST

KAIST

연세대

연세대

"진짜 쓰는 사람들이, 진짜 쓸 수 있게 만듭니다."

서울대·카이스트·연세대 출신, 석·박사급 AI 전문가들이
우리 회사 업무에 맞는 실전 AI 교육을 직접 설계합니다.

Do-Kyung Kim

Do-Kyung Kim

Co-founder
  • Yonsei CS · Yonsei AI PhD Program
  • Current SNU AI Instructor · Former Yanadoo AI Crew
  • Head of AX & AI Consulting Strategy
Min-Seo Kang

Min-Seo Kang

Co-founder
  • KAIST AI PhD · Former Harvard·SK·Yanadoo
  • Current SNU AI Expert Program Instructor
  • Head of AI Content Marketing & AX Strategy
Won-Seok Lee

Won-Seok Lee

CTO / Automation Architect
  • Yonsei Mechanical Eng. · Yonsei AI Graduate School
  • EBS n8n Automation Expert Instructor
  • Head of Enterprise AX Automation Architecture
Tae-Jun Kang

Tae-Jun Kang

AI Researcher
  • Minjok Leadership · Yonsei · AI MS · AI PhD Program
  • Korean LLM · Text Generation · EBS AI Instructor
  • LangGram Language Model Developer
Byung-Hoon Lee

Byung-Hoon Lee

AI Engineer (Data & Modeling)
  • Yonsei Medical School Engineering MS (Medical AI · Time Series)
  • Data Modeling · Preprocessing · AI Pipelines · EBS Instructor
  • Enterprise Data-Driven AI System Build
Young-Joo Lee

Young-Joo Lee

AI Content Strategist
  • SNU · SNU Hospital CRC
  • Prompt Engineering
  • AI Content Strategy & Planning
Do-Kyung Kim

Do-Kyung Kim

Co-founder
  • Yonsei CS · Yonsei AI PhD Program
  • Current SNU AI Instructor · Former Yanadoo AI Crew
  • Head of AX & AI Consulting Strategy
Min-Seo Kang

Min-Seo Kang

Co-founder
  • KAIST AI PhD · Former Harvard·SK·Yanadoo
  • Current SNU AI Expert Program Instructor
  • Head of AI Content Marketing & AX Strategy
Won-Seok Lee

Won-Seok Lee

CTO / Automation Architect
  • Yonsei Mechanical Eng. · Yonsei AI Graduate School
  • EBS n8n Automation Expert Instructor
  • Head of Enterprise AX Automation Architecture
Tae-Jun Kang

Tae-Jun Kang

AI Researcher
  • Minjok Leadership · Yonsei · AI MS · AI PhD Program
  • Korean LLM · Text Generation · EBS AI Instructor
  • LangGram Language Model Developer
Byung-Hoon Lee

Byung-Hoon Lee

AI Engineer (Data & Modeling)
  • Yonsei Medical School Engineering MS (Medical AI · Time Series)
  • Data Modeling · Preprocessing · AI Pipelines · EBS Instructor
  • Enterprise Data-Driven AI System Build
Young-Joo Lee

Young-Joo Lee

AI Content Strategist
  • SNU · SNU Hospital CRC
  • Prompt Engineering
  • AI Content Strategy & Planning
Do-Kyung Kim

Do-Kyung Kim

Co-founder
  • Yonsei CS · Yonsei AI PhD Program
  • Current SNU AI Instructor · Former Yanadoo AI Crew
  • Head of AX & AI Consulting Strategy
Min-Seo Kang

Min-Seo Kang

Co-founder
  • KAIST AI PhD · Former Harvard·SK·Yanadoo
  • Current SNU AI Expert Program Instructor
  • Head of AI Content Marketing & AX Strategy
Won-Seok Lee

Won-Seok Lee

CTO / Automation Architect
  • Yonsei Mechanical Eng. · Yonsei AI Graduate School
  • EBS n8n Automation Expert Instructor
  • Head of Enterprise AX Automation Architecture
Tae-Jun Kang

Tae-Jun Kang

AI Researcher
  • Minjok Leadership · Yonsei · AI MS · AI PhD Program
  • Korean LLM · Text Generation · EBS AI Instructor
  • LangGram Language Model Developer
Byung-Hoon Lee

Byung-Hoon Lee

AI Engineer (Data & Modeling)
  • Yonsei Medical School Engineering MS (Medical AI · Time Series)
  • Data Modeling · Preprocessing · AI Pipelines · EBS Instructor
  • Enterprise Data-Driven AI System Build
Young-Joo Lee

Young-Joo Lee

AI Content Strategist
  • SNU · SNU Hospital CRC
  • Prompt Engineering
  • AI Content Strategy & Planning

Lectures from AI Experts

From 10-person startups to enterprises of 600+

We provide the optimal solution
for your organization's scale

Consult with a NEXTGEN AI expert today

NextGen AI
NextGen AI

AI Experience를 혁신하는 NextGen AI입니다. 기업의 AI 도입부터 활용까지 전 과정을 함께합니다.

(주) 넥스트젠에이아이

사업자번호 : 557-86-03716

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