Tencent WorkBuddy Upgrades to Enterprise Edition and Releases Buddy One Cross-App Collaboration System

Tencent Drive and BuddyOne launch together! Where is WorkBuddy, which has run 9 billion tasks, evolving toward? Sanqi Ershiyi, 21 hours ago: Letting AI go from individuals "running into" enterprises

Compared with past technology showcases centered on cloud computing, large models, and industrial digitalization, this year Tencent has placed more of its focus on WorkBuddy for the industry.

On October 29, Luo Chao Pro was invited to attend the 2026 Tencent Global Digital Ecosystem Summit. The summit disclosed right away that since its launch in March this year, WorkBuddy has cumulatively completed 9 billion task requests, and its enterprise edition has been deployed in more than 50 industries, covering 50% of China's Fortune 500 companies and 60% of China's top 100 companies.

However, more noteworthy than these numbers is the change that is taking place in WorkBuddy.

So this time Tencent not only further opened up WorkBuddy's ecosystem and platform capabilities, but also, around enterprises' actual needs, upgraded capabilities such as security, observability, and hosted agents, attempting to move WorkBuddy from a personal AI assistant toward an enterprise-level Agent platform. From personal efficiency to enterprise productivity, WorkBuddy is still connecting more

One important change from this summit so far is the further integration of Tencent's office ecosystem.

At this summit, Tencent released the Buddy One cross-application AI collaboration system, connecting office products such as WorkBuddy, Tencent Docs, Tencent Meeting, Tencent Drive, and ima, sharing the WorkBuddy Agent foundation.

After users bind a Buddy One ID, they can not only search materials across products and share points and membership benefits, but also directly call authorized documents, meeting records, and knowledge base content through WorkBuddy, without repeatedly switching between different applications and copying and pasting.

The simultaneously released Tencent Drive takes on the role of unified storage. Materials and work results generated by different applications and Agents can be stored centrally and, after authorization, called by subsequent tasks, enabling AI to continue previous work.

In enterprise scenarios, WorkBuddy's role goes beyond connecting office products.

After deep integration with WeCom this month, WorkBuddy further opened up access capabilities for third-party instant messaging tools, enterprise internal systems, and self-developed Agents. Tencent's internal business service agent "Panshi Xiao O" has already connected 9 businesses and more than 300 interfaces in the ERP system to WorkBuddy, and employees can directly query business data and initiate approvals through conversation.

At the same time, the WorkBuddy enterprise edition has also upgraded security and observability capabilities, allowing enterprises to limit an Agent's operating permissions, track the task execution process, and view information such as model calls, Token consumption, and response time.

Tencent also released the WorkBuddy Managed Agent (WMA). Enterprises can distill mature workflows into Skills, build exclusive Agents, and hand them over to cloud hosting to handle business tasks 24/7, without having to maintain the underlying operating environment themselves.

As of now, the WorkBuddy ecosystem has gathered more than 50,000 partners and developers, with more than 200,000 Skills listed. Not just WorkBuddy: Tencent is re-laying out around Agents

In addition to upgrades to WorkBuddy itself, Tencent also announced new progress in large models and cloud infrastructure.

Among them, the official version of Hunyuan's latest large language model Hy4 is about to be released, focusing on strengthening long-horizon tasks and real productivity task capabilities, improving chain-of-thought efficiency, and introducing visual understanding capabilities for the first time. Hy4 flash, positioned for higher cost-effectiveness, will also be launched soon.

Facing the demand for large-scale Agent operation, Tencent Cloud has also upgraded Agent Runtime, reducing execution costs through technologies such as rapid sandbox startup, pause, and resume. According to Tencent, sandbox startup currently takes only 60 milliseconds, 160,000 can be created per minute, and comprehensive enterprise deployment costs can be reduced by 70%.

In addition, Tencent Cloud also announced progress in technologies and products such as domestic computing power adaptation and optimization, the new-generation cloud server SA10, and audio-video AI WAND, providing support for the large-scale implementation of AI applications.

Although this year's summit still involved quite a few products and technologies, they are unfolding around a clearer direction:

Letting Agents truly enter enterprises' workflows.

Over the past year, large model capabilities have continued to improve, and more and more enterprises have begun trying to introduce AI. However, from individuals using AI to an entire organization relying on AI to complete work, a series of problems still remain in between, such as fragmented business systems, security risks, and deployment costs.

So we can see that Tencent is using WorkBuddy as an entry point to connect office applications, enterprise data, and business systems, and then providing support through models, Agent runtime environments, and cloud infrastructure. This also means that enterprise AI competition is moving from simply competing on model capabilities to competing on actual business implementation.

However, 9 billion task requests and large-scale enterprise coverage currently prove more about WorkBuddy's scale of use. To what extent it can improve enterprise productivity still needs to be tested by more real business scenarios.

Images in this article are from: 123RF licensed image library. Infringement report Return Share Related articles All comments