During the WAIC 2025 conference held some time ago, Teamsun unveiled a number of its AI blockbuster products: "Bidding King 2.0", "Smart Contact Center", "Smart Park Solution", "One-stop AI Delivery Service" and other enterprise-level AI applications.

From a traditional system integrator to a native AI application company, what are the strategic considerations behind this transformation? What challenges will you encounter during the transformation process? Focusing on these issues, Data Monkey interviewed Wang Shidi, CIO of Teamsun, and listened to his talk about how the company continues to be "Tiancheng" in the AI ​​era.

In public perception, AI seems to be an exclusive track for technology giants and entrepreneurial upstarts, which is inconsistent with the calm and sophisticated style of Teamsun. Since its establishment in 1998, Teamsun has been labeled as an "enterprise IT system solution and cloud service provider". Its customers are concentrated in key industries such as government, finance, telecommunications, and energy. The age of the company, business boundaries, and customer group structure all give off a "heavy" atmosphere. It's no wonder that it is difficult for people to connect it with AI.

But this is just an illusion.

"Teamsun is one of the earliest system integrators or solution providers in China." Wang Shidi said.

From the day of its birth, breakthrough and innovation have been written into the company's DNA. In the process of Teamsun starting from scratch and growing from small to large, every technological change is regarded as a springboard for a new round of development. In 2023, large models are coming with huge disruptive power. Without hesitation or hesitation, the company quickly determined the strategy of transforming to AI.

Transformation means unknown, and unknown means risk. How is Teamsun’s transformation going? Wang Shidi summed it up in four words: things will fall into place when conditions are ripe.

1. Industry accumulation in the past thirty years

Teamsun is a veteran who has been working hard in the field of IT informatization and digitalization for 27 years. 27 years is not a long time on a human time scale, but it can be said to be a long history in the field of digital economy. Over a span of nearly 30 years, Teamsun has successfully passed through multiple economic and technological cycles, and its technological depth, talent depth, market acumen, and business understanding are all at the TOP of the industry. If you stand on your own shoulders and make AI-native innovations, you will get twice the result with half the effort.

2. Do not do things in general, choose the track accurately

Choosing which track to enter is the first question to answer.

"Almost all industries will be redone by AI, and we have to do something and something not to do. The selection of the track is based on two principles:

1. Input-output ratio. Our time, energy, attention, money and other resources are limited. If we get involved in too many fields, the resources will be infinitely diluted, and ultimately nothing can be accomplished. We choose the track based on our own endowments and guided by maximizing value creation.

2. Customer needs. In fact, no matter what form of technology, product and solution it is, it must ultimately deliver value to customers. The same is true for the research and development of AI products. Customer needs are its starting point. Customers have needs and pain points, which means they have a strong willingness to use and pay potential. If we talk about technology without needs, we are building things behind closed doors. "Wang Shidi said.

3. A huge ecosystem provides the foundation for AI implementation

The difficulty in implementing AI is often not the technology itself, but that the technology has no place to be used. Teamsun is born with two levels of ecological advantages: first, technological ecology. As a system integrator, Teamsun has full-stack solution capabilities covering "computing power-large models-scenario applications" and can provide customers with one-stop AI delivery services; the second is customer ecology. The company has been deeply involved in government, finance, telecommunications, energy and other fields for many years, and has a deep and highly sticky customer pool. This enables Teamsun to promote the application of AI products in new scenarios at extremely low customer costs.

Teamsun selected three major scenarios: bidding, park management, and contact center as the focus of research and development of enterprise-level AI applications. Judging from the current results, this firm and powerful transformation is undoubtedly successful. Among them, “Tender King” is a flagship product that has attracted market attention.

Imagine this scene: In the office at three o'clock in the morning, colleagues in the sales department are checking the bid documents word for word with dark circles under their eyes, the legal team is red-faced arguing over disputes over terms, the technical team is tit-for-tat over some technical indicators, and the bid documents scattered on the table are piled up into a small mountain... This is the daily life of traditional bidding. The emergence of the “Bidding King” directly turned this “bidding marathon” into a “100-meter sprint”.

As an important part of the market economy, the bidding industry is undergoing unprecedented changes. From the upgrade of policies and regulations to technological innovation and the evolution of the market environment, the bidding and bidding industry is making steady progress in the direction of compliance, transparency and digitalization. In 2025, the revision of the "Tendering and Bidding Law" will be included in the legislative plan, and the industry compliance threshold will be raised again. In addition, from the perspective of content and form, bidding documents are also changing from "skilled gaming tools" to "value visualization carriers".

Facing the new situation, Teamsun released Bidding King 2.0 during WAIC 2025. Bidding King 2.0 breaks through the integration of AI agent technology to realize the intelligentization of the entire bidding process for bidding document interpretation, resource matching, intelligent resource library, bidding document verification and response analysis, as well as intelligent writing of bidding documents. Significantly improve bidding efficiency and bid winning rate, help enterprises avoid the risk of abandoned bids, and ensure that the bidding process is intelligent, efficient and safe.

Teamsun’s business scope is so wide, why did it choose the bidding scenario to focus its efforts?

WAIC2025 Teamsun booth scene

Wang Shidi said: "For the business scenarios in the bidding industry, we have a home field advantage. Teamsun itself has thousands of high-frequency bids every year, which is a huge workload. Moreover, whether it is the R&D team or the product team, many key members have more than 20 years of bidding experience. In the entire bidding process, they all know which are the key links and where the important demand points are. This is the soul of the product Bidding King."

At the same time, we do not just start from the perspective of tender documents and text, but from the entire process. Bidding King is an "anthropomorphic" operation form that uses large model technology to "simulate" the bidder's thinking mode and operation process. We are not just focusing on the text and chapters of the bidding document, but using the ability of large models to dismantle and restore the entire bidding process, and finally generate content based on the workflow. "

According to reports, Bidding King has been implemented in many enterprises, including heavyweight customers such as first-level central enterprises. Judging from the actual application effects, Bidding King 2.0 can shorten the interpretation of bidding documents from 1 day to 10 minutes, shorten the review of bid documents from 4 days to 2 hours, and the automatic generation of bid documents can shorten the writing of bid documents from 1 week to 1 day, greatly improving bidding efficiency and bid winning rate.

From the internal beta version to 1.0 and now 2.0, the Tender King series products have been iterated many times within a year and a half, which reflects the agile innovation capabilities of Teamsun and also shows the strong and rapidly changing market demand.

"The 2.0 product is a standard product. Bidding scenarios are mainly divided into three categories: material procurement, services and engineering. In the future, it will be extended to different industries, different scenarios and even different scene areas. To achieve these goals cannot be achieved with tools alone. In the future 3.0 or 4.0, we will launch more products for vertical industries." Wang Shidi said.

Saying goodbye to the big platform era, this is a shocking declaration on the official website of Teamsun. Saying goodbye to large platforms is an important change in the evolution of the digital economy into the era of large models. Its core significance lies in reconstructing the underlying logic of value creation and distribution and promoting the evolution of the business ecosystem from "centralized monopoly" to "distributed symbiosis".

The implementation paradigm of large AI models is completely different from traditional software. Teamsun chose "customer co-creation" to solve the problem.

Wang Shidi said that the basis for co-creation with customers lies in Teamsun’s customer network accumulated over more than 20 years of deep experience in the industry. We use existing trust relationships as the cornerstone to incubate innovative value in existing services. This path from inheritance to innovation constitutes our unique strategic depth.

At the same time, we have the technical capabilities and platform and a deep understanding of the industry know-how. Customers have data and scenarios. Our complementary advantages and co-construction and co-creation can accelerate the implementation of AI.

In many vertical fields, such as finance, law firms, accounting firms and other service organizations, Teamsun is continuing to promote the integration of AI and industry scenarios. Taking private equity investment research as an example, Teamsun is using AI technology to reshape the report production paradigm.

As an integrator, Teamsun has natural ecological advantages, which continue to play a unique role in the era of large models.

Wang Shidi said: "In the large-model industry, each partner is a key module in the value map. What we pursue is a complete presentation of the ecological panorama, rather than the partial gains and losses of a single enterprise. This requires all participants to: align goals with a result-oriented approach, share capabilities with an open mind, and replace zero-sum games with collaborative evolution."

When the IT industry enters the intelligent revolution cycle, Teamsun chooses to actively embrace the changes. The strategic transformation in 2023 marks the company's official evolution from a traditional IT service provider to an "AI native ecosystem builder."

In the wave of AI, Teamsun neither blindly pursues the trend nor rests on its laurels. Instead, it transforms its heavy industry accumulation into lightweightsurplusof innovation momentum. While other companies are still thinking about how to embrace AI, Teamsun has already used customer co-creation and ecological puzzles to create its own "second entrepreneurial" rhythm.