现场常见问题
Many staff already use online AI, sometimes pasting in contracts, customer data or payroll without thinking. Others will not touch it, or believe everything it says. Both are a problem, and a rule written in a policy document alone does not change how people work.
Hands-on, not a lecture
Every session uses examples from the participants' real work (with nothing confidential): drafting letters, summarising reports, draft translations, answering customer questions. Participants try it themselves, compare results and hunt for mistakes in what the AI wrote.
What we teach
- Clear prompts: state the role, the information, the format you want and what to avoid
- Checking output: AI can be confidently wrong and invent numbers or names. Practise checking against the original every time
- Data rules: what may go into online AI and what must stay on internal systems only, following your organisation's own policy
- Lao language: where AI writes Lao well and where you will need to fix it yourself
- AI images and video: always labelled, never a substitute for real photos
Courses by group
Managers need to know which work AI suits and what the risks are. Office staff need ways to use it day to day. IT teams need to know how to look after an internal system. We split the course by group and teach in the language your team uses.
This training sits well alongside security awareness training, because phishing emails written with AI read more and more like the real thing. If you already have a private document assistant, the course uses it as the example.
功能
Hands-on practice
Participants practise on examples from real work with nothing confidential in them.
Taught in three languages
Lao, Thai or English, whichever your team actually works in.
Spotting mistakes
Exercises where the AI answer is deliberately wrong and participants must catch it.
Data rules people remember
A one-page summary of what may and may not go into online AI, based on your own policy.
Separate tracks by role
Managers, office staff and IT each learn what they will actually use.
Material to keep
Example prompts and an output checklist in Lao to use at work.
设计与实施
- 1
Talk with the organiser about participants, their work and any existing data policy.
- 2
Collect work examples with no confidential data for use in class.
- 3
Prepare course and exercises per group in the team's language.
- 4
Run hands-on sessions on site or online.
- 5
Send take-away material: example prompts and the output checklist.
- 6
Answer follow-up questions on WhatsApp and schedule a refresher when needed.
适用场景
- For example, an office where staff have started using online AI on their own, with no rules.
- Organisations about to launch an internal AI assistant.
- Schools and universities that want teachers to know how to use it and where it fails.
- Marketing teams using AI to create content.
- Managers deciding whether to invest in AI at all.
常见系统规模
Basics
适用于: General staff, one group
- Safe use and data rules
- Writing prompts and checking output
- One-page summary in Lao
By role
适用于: Several groups: managers, office, marketing
- Separate track per group
- Exercises from real work
- Example prompts for each group
With an internal system
适用于: Organisations with, or installing, an internal AI system
- Training on your own internal system
- Administrator track for IT
- Refresher session after go-live
常见问题
Do participants need an IT background?
No. If they can use email and Word, they can follow it. Only the administrator track is meant for IT staff.
Can it be taught in Lao?
Yes. We teach in Lao, Thai or English, and the take-away material is in Lao. Mixed teams can be taught in two languages.
Will you use our data in class?
Only examples with nothing confidential, or with names and numbers changed. Practice on online AI in class never uses your organisation's real data.
After the course, can staff rely on AI without checking?
No. The main point of the course is the opposite: AI drafts, a person checks and takes responsibility. Anything affecting money, contracts or people must be checked against the original.
相关指南
把公司文档交给 AI 之前的数据隐私检查清单
员工把合同、发票或客户名单粘贴到 AI 之前,应逐项检查:文档分级、AI 在哪运行、谁有账号、提问是否被记录、是否被用于训练公共模型、数据保留多久。
钓鱼攻击:写给每位员工及培训负责人的指南
识别诈骗邮件、WhatsApp 消息或电话的迹象,误点后该怎么办,以及如何开展员工不走神的三语培训。
如何诚实地在营销中使用 AI 生成的图片和视频
AI 图片和视频用得诚实就能助力营销:标注 AI 生成,不冒充真实产品、场所或效果;用真人面孔或声音作参考前先征得同意;核查素材版权,保留原图和提示词,发布前人工审核。
私有 AI 与云端 AI:企业如何选择
自有服务器运行 AI 与使用公共云 AI 服务有何不同:数据敏感度、对网络的依赖、可控性与维护,附简单清单逐项任务决策。
相关解决方案
企业 AI
发给我们建筑平面图或几张现场照片
我们会先询问一些细节,再给出初步设计方案。首次咨询免费,可用老挝语、泰语或英语,通过 WhatsApp 或 Facebook 主页联系。
