Only when AI is truly implemented can an organization become a real intelligent entity.

Text by | Moss

As organizations grow larger, they become more sluggish. Is this an inevitable fate for enterprises as they expand in scale?

After the arrival of the large model era, Feishu hopes to reverse this situation with AI.

On July 9th, at Feishu's annual product launch event, it once again presented an "AI all - in - one package" by releasing and upgrading multiple AI products such as Knowledge Q&A, AI Meetings, Feishu Aily, and Feishu Miaoda.

Compared with previous years, this is another massive update from Feishu. It not only upgraded existing products like Multi - dimensional Tables and Knowledge Q&A but also launched new products in the AI all - in - one package, such as Aily and Miaoda, which address the current difficulties in implementing large models.

△ Xie Xin, CEO of Feishu. Source: Feishu

At the event, Feishu stated that all these efforts aim for one goal: to continuously provide business personnel with more powerful and user - friendly tools, enabling everyone to become a business expert.

The essence of this goal is actually a form of "organizational entropy reduction" at another level. If every front - line employee has an AI assistant to independently solve data and business bottlenecks in the business process, it can also reduce friction within the organization.

In the past few years, Feishu has gone through the early stage from product development to market coverage and has accumulated a large number of customers in industries such as retail, high - tech, and advanced manufacturing.

According to the latest data disclosed by Feishu, in the new energy vehicle industry, 60% of the top 30 brands in terms of sales volume have started using Feishu. Among the six listed brands in the tea beverage industry, five are Feishu users.

A competition in AI scenarios and new AI users has also begun. In the past two years, capturing the minds of new players in the AI and embodied intelligence fields has become the focus of competition in the collaborative office market.

In the past two years, Feishu has also acquired new customers, including DeepSeek and ZHIYUAN ROBOTICS.

△ Source: Photo taken by the author

An interesting episode is that on July 8th, DingTalk suddenly launched a new AI table product, clearly showing its intention to compete. In response, Feishu announced at today's launch event that it also plans to launch Multi - dimensional Tables on the WeCom and DingTalk platforms. Users on other platforms can also apply to use it on WeCom and DingTalk.

Massive Updates to Multi - dimensional Tables: From Tables to System - level Platforms

As a flagship product, Feishu's Multi - dimensional Tables still took the "C - position" at this launch event.

According to the latest data disclosed by Feishu, the monthly active users of Multi - dimensional Tables currently exceed 10 million, which is a significant figure among domestic To B products.

From the underlying technology stack to the upper - layer applications, Feishu's Multi - dimensional Tables have introduced multiple new features. In terms of performance, the capacity of the tables has increased, and the processing speed has also become faster.

Compared with 2024, the single - table capacity of Feishu's Multi - dimensional Tables has now been increased to 10 million hot rows, which is 10 times that of last year. At the same time, the processing speed has been significantly reduced. With a scale of 20,000 rows, the loading speed of Multi - dimensional Tables has decreased from 7.4 seconds to 0.94 seconds, and it only takes 1 second to load 50,000 rows, while similar domestic products may take up to 20 seconds.

What does this mean? Most intuitively, Feishu's Multi - dimensional Tables can now handle the business needs of a small - scale e - commerce platform. For example, it can directly manage 10 million SKUs/orders and cover information such as order numbers, users, products, amounts, and logistics on a niche category platform.

△ Source: Feishu

From another perspective, why has the Agentization of intelligent table products become a hotly contested area?

One reason is that Multi - dimensional Tables are products built on aPaaS. In addition to connecting with documents, they have also become an integral part of the core workflows of many enterprise customers.

In many small and medium - sized team businesses, Multi - dimensional Tables can replace the functions of many small - scale business systems, and enterprises no longer need to purchase systems for sales, customer service, human resources, etc.

Therefore, table - based products have become a testing ground for large models + real - world business scenarios.

Specifically in terms of usage, in the past, users only needed to "drag and drop" in Feishu's Multi - dimensional Tables, just like building blocks. This was also the core selling point of previous low - code and aPaaS products.

However, in reality, although this operation sounds simple, it still has a certain threshold. For a user with no programming foundation, it is difficult to understand professional terms such as "fields" and "processes" and figure out the configuration process.

So, Feishu hopes to lower the threshold even further. After the capabilities of large models have been further enhanced, users can now "build systems with their voices".

On the basis of dragging and dropping, users can have a conversation with "Feishu Miaoda" and give specific instructions, such as "I want to build an e - commerce business dashboard that includes categories like orders, logistics, and transaction amounts."

Then, Feishu Miaoda will call on its Agent capabilities to directly generate an AI application with one click.

Moreover, to enable the rapid implementation of AI applications, Feishu's newly released "application mode" takes it one step further by allowing users to "decorate" AI applications with one click.

△ By dragging and dropping, you can build "alternative" sales systems, human resources systems, inventory management systems, etc. Source: Feishu

After generating an AI application, the initial result is more like a demo. However, the "application mode" has a built - in rich set of application components, such as various list components, Tab components, and carousel images, which can make the AI application look more like an interactive "AI system".

In short, users have more options and can quickly build a business application that is both aesthetically pleasing and practical, and it is also easier to deploy on different platforms.

At Feishu's exhibition site, "Intelligent Emergence" also witnessed how Multi - dimensional Tables are implemented in various industries.

EIFINI, founded in 2001, is a women's clothing group with multiple brands, including eifini, SEIFINI, and Pure: Moment:. After the entry of AI in Multi - dimensional Tables, EIFINI customized a training evaluation standard based on AI capabilities.

AI tools such as Multi - dimensional Tables, Feishu Miaoji, and Knowledge Q&A have also been integrated into EIFINI's core business processes.

For example, EIFINI employees use Feishu Meetings to record training videos. During the process, AI can automatically score, comment, and provide suggestions. Finally, the training results will be automatically synchronized to managers, who can directly generate quality inspection daily reports and dashboards through Multi - dimensional Tables to view the national progress in real - time.

Even a 1998 - born EIFINI employee achieved a business leap within the company using AI. Based on Feishu's Multi - dimensional Tables, this employee built a complete digital system for a new beauty business from scratch. Eventually, this system supported the operation and management of thousands of people and thousands of stores nationwide, saving millions in system development costs and generating millions in additional revenue for the group due to its rapid launch.

A Real, Actionable Agent is a Good AI

Another highlight of the launch event was the Agent.

Agents have been popular from 2024 to 2025 but have been plagued by vague concepts and difficulties in implementation. Even within the industry, it's hard to define how intelligent an Agent must be to be considered a real Agent.

This has led to a significant gap between the "buyer's show" and the "seller's show" in the Agent field. The demonstrations look very cool, but there are numerous errors once implemented. How can we determine whether an AI application is a real, implementable Agent?

△ Source: Feishu

In this launch, Feishu also introduced an "AI application maturity model" for enterprise customers to refer to. Specifically, it divides AI applications into four levels:

• M1 - Proof of concept. Only for internal demonstrations, not for external release.
• M2 - Early trial. For users willing to try new things.
• M3 - Mature application. Can be used on a large scale.
• M4 - Fully mature. Can be used in any suitable scenario.

Taking Feishu's existing features as an example, the previously released "Knowledge Q&A" has reached the M3 level. It can answer relevant questions within the enterprise by retrieving various daily - accumulated information, such as chat records, meeting minutes, and documents.

Another well - received AI transcription product, "Feishu Miaoji", has reached the M4 level.

"Just as large models compete based on generation quality and understanding ability rather than functional differences, AI applications should also be selected based on their effectiveness," said Xie Xin, CEO of Feishu.

In addition to clarifying the concept of Agents, Feishu also launched an "AI all - in - one package" - the Feishu Development Kit to help enterprises implement Agents in specific scenarios more quickly.

△ Aily. Source: Feishu

For example, the newly released "Feishu Aily" is like an enterprise - version Manus. Users only need a few simple steps to configure the persona, connect to enterprise knowledge, and add the business system MCP to create their own exclusive or business - specific Agent.

The core difference between Aily and third - party Agents lies in whether they have access to enterprise data.

In real - world To B scenarios, enterprises are very sensitive to data issues. Aily supports private - domain data and has a series of data permission and isolation functions configured.

Since last year, Aily has been implemented in multiple enterprises. A typical customer is the Bull Group. Now, the Bull Group has launched an expert - level customer service Agent, "Bull Smart Service", which can respond to customers and thousands of dealers' questions 24/7, increasing the customer service reception capacity by 30 times.

Behind these tools is Feishu's aPaaS platform, which has also completed multiple updates this time. Feishu's aPaaS platform enables AI to assist the entire process of business system development.

"AI is bringing a new software paradigm and development paradigm. In the software paradigm, intelligent systems plus Agents not only meet digitalization needs but also provide more intelligent human - powered services. In the development paradigm, AI Coding plus PaaS can also achieve the optimal balance between efficiency, stability, and reusability," said Zhou Zhou, the person - in - charge of the Feishu Development Kit.