Workshop

In a single day, your team builds its own department’s Agent

This is not a lecture. More than 40% of the 240 minutes is hands-on. Participants arrive with a real workflow from their own department and leave with an Agent that works on it.

240minPer session
40%+Hands-on time
95%+Participant satisfaction
2,000+People trained to date
01

Course details

Cases and modules adapt to your industry and departments, and we can design scenarios around your actual workflows.

Length
240 minutes (or split into intro + advanced, 10 hours total)
Format
In person or live online
Hands-on
Over 40%, with consultants on hand throughout
Audience
All staff, department heads, transformation teams
02

Who it is for

No programming background needed. What matters is knowing your own department’s process well, because that is what gets broken down.

Owners of small and mid-sized businesses

Wanting to know what AI can do for the company, where to start, and what a reasonable investment looks like.

Business owners

Department heads

IT, digital, operations and HR leads with specific process pain they need solved.

Department heads

Transformation leads

Charged with driving AI internally but lacking a repeatable method and people to carry it.

Transformation leads

All staff

Front-line people know best where time goes. The Agents they build tend to be the most useful.

Staff
03

Five modules

Each module leads into the next. By the end of the last one, every participant has an Agent that actually runs.

01 AI fundamentals

How generative AI works, how the major models differ, and where the industry is going. We clear up the common misconceptions so non-technical staff can judge what AI can do here.

A shared vocabulary

02 Prompt engineering

The model is not the problem; the instruction usually is. Design principles and structuring techniques for writing prompts that hold up across tasks and industries.

The first step in working with AI

03 Data and knowledge bases

Standardizing, normalizing and structuring internal data so an Agent can answer real business questions accurately.

This decides accuracy

04 Applied scenarios

Break down a real internal workflow, design the task, and test what you have learned against your own work.

From learning to building

05 Build session

Group work and live building. Everyone finishes an Agent for their own department and sees the difference immediately.

Leave with something that works

04

Why it works

What separates one AI course from another is whether people can keep going once they leave the room.

Mostly hands-on

Over 40% building time, with consultants present throughout so no one is stuck for the whole session.

Real cases

Drawn from textiles, electronics, marketing, software, media and e-commerce, not generic exercises.

Adapted to you

Cases and modules adjust to your industry and departments. What matters gets more time; what does not is skipped.

Your own scenarios

Exercises are built from your actual workflows, so people practise the work they will do tomorrow.

Cross-department

Different teams unpack each other’s processes in the same room, which often starts the collaboration itself.

Production-ready output

What participants build can go live after a consultant review. It is not a sandbox exercise.

EgentWrX and the companies rolling out human-AI collaboration

Across textiles, fasteners, precision machinery, chemicals, auto parts, electronics, food chains and the public sector.

  • 廣運機械
  • 東陽
  • 雙鴻科技
  • 復盛
  • 崇友實業
  • 勝一化工
  • 紡拓會
  • 弘裕企業
  • 宏于電機
  • 金運科技
  • 太極能源
  • 大武山
  • 日翊
  • 宗連
  • 永暘
  • 旭榮集團
  • HOPAX 聚和國際
  • 南緯實業
  • 港苑國際
  • 來思企業
  • 亨昇國際
  • CAMA 咖碼
  • 至興精機
  • 友鋮
  • 東元科技文教基金會
  • 佳宸科技
  • 如保興業
  • JS Adways
  • 雨傘王
  • IPEVO
  • 工研院
  • 金屬中心
  • 創意點子
  • 合邦建設
  • 新日興股份有限公司
  • SCI 飛雁
Enterprise trials are opening in stages

Want every employee to have their own AI teammate?

Places are limited. Our team will be in touch after you register.