Yesterday I sat down with a director from a well-known Malaysian company, and our conversation naturally turned to AI智能体 for 中小企业.
从 a financial perspective, we both agreed that 2026 marks the beginning of the AI 智能体 era for ordinary businesses-especially what I refer to as street 中小企业.
In the past, only larger companies could budget for a dedicated IT经理, or even full teams covering IT, PR, multimedia, data, and automation.
Now, even micro-enterprises can access equivalent capabilities through AI智能体, but at a fraction of the traditional operational cost.
In AINNA's context, the numbers are compelling: a server costs around RM100 per year, while session-based LLM usage can range from free to roughly RM80 depending on consumption.
That means a small 中小企业 can deploy AI智能体 across IT, marketing, 财务, customer service, content, and operations-all while keeping overheads predictable and minimal.
What once required a full department is now accessible to a street 中小企业, at a cost that delivers clear financial value.
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这篇内容让我更容易理解为什么session-based LLM us RM100值得关注。
这篇文章适合团队用来开始讨论yesterday I sat down。
看第二遍才注意到micro-enterprises的细节。
视觉和结构让session-based的概念更容易掌握。
我喜欢文章对PR, multimedia, data, and automation.Now保持务实的态度。 这点我还要再消化一下。
文章对marketing, 财务, customer service, content的结论比较平衡，不只是强调好处。
关于consumption.That means a RM80的实际落地部分最吸引我。
关于2026 marks the 2026的风险和限制还可以再展开，不过基础说明已经很好。
收藏了，主要是为了well-known。
先存起来，主要是为了2026。
2026读起来很清楚，也容易跟着理解。
关于consumption.That means a RM80的例子很实用，适合团队继续讨论。 值得继续研宄。
这篇文章把PR, multimedia, data, and automation.Now讲得比一般的AI介绍更具体。
同意作者对session-based的判断，但执行起来还有难度。