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EnglishOn March 17, Alibaba officially launched the world’s first AI-native work platform designed specifically for enterprises—“Wukong,” enabling every team and company to have a round-the-clock “lobster legion.” This standalone application is now open for invitation testing and will be fully integrated into DingTalk, which is already used by over 20 million enterprise organizations.
DingTalk Fully Upgrades Its CLI Architecture, Achieving “Communication as Execution”
With 800 million users, DingTalk has completed a major underlying code overhaul, transitioning entirely to a command-line interface (CLI) architecture. This allows the Wukong Agent to natively call thousands of DingTalk features without relying on simulated human clicks, truly realizing a “one conversation, automatic execution” workflow.
Wukong seamlessly integrates with an enterprise’s DingTalk account system, security management mechanisms, and various internal systems. Meanwhile, Alibaba’s broader To B service capabilities will gradually be added to the platform in the form of Skills, making it a unified gateway for applying Alibaba’s AI technologies in enterprise settings.
Crafted for Enterprises: Secure, Controllable, and Cost-Transparent AI Workflows
DingTalk CEO Chen Hang (nickname Wuzhao) stated: “Today, we’ve deconstructed and reassembled DingTalk, forging ‘Wukong’ anew with AI. In the past, people worked through DingTalk; in the future, AI will use DingTalk to accomplish tasks. Unlike other lobster agents on the market, Wukong was born rooted within enterprise organizations, operating safely and stably in real-world business environments.”
Currently, most AI agents remain at the “toy” stage for personal use—capable only of drafting text or searching information. In actual enterprise operations, they often face issues such as uncontrolled permissions, untraceable actions, and opaque costs. Wukong, however, was designed from the ground up to meet enterprise needs, featuring a built-in enterprise-grade runtime environment: AI agents automatically inherit existing organizational permissions, all actions run within a secure sandbox, and token consumption along with associated costs are clearly visible, allowing AI spending to be managed as precisely as a financial budget.
This is the core difference between Wukong and other AI agents: while others focus on “can AI get things done?”, Wukong answers “how can AI work securely, controllably, and cost-transparently within enterprises?”—transforming from a geeky tool into a genuine productivity force for businesses.
Building the World’s Largest To B Skill Marketplace
Wukong simultaneously launched an AI capability marketplace, collaborating with the developer community to build a complete enterprise-grade Skill ecosystem, offering end-to-end support from development and review to deployment and distribution. The platform is fully compatible with open-source Skill formats, aiming to create “the world’s largest To B Skill marketplace” and accelerate the widespread adoption of enterprise intelligence.
On March 16, Alibaba announced the establishment of the Alibaba Token Hub (ATH) business group, consolidating units such as the Qianwen Division and the Wukong Division. Among them, the Wukong Division is positioned as “building an AI application portal for enterprises, deeply embedding AI into daily workflows.” Looking ahead, Alibaba’s commercial services—including Taobao, Tmall, 1688, Alipay, and Alibaba Cloud—will progressively integrate into the Wukong platform as Skills, forming a closed-loop ecosystem.
E-commerce Application Example: AI-Powered Product Selection and Intelligent Operations
Take e-commerce as an example: sourcing suppliers on 1688 will become far more efficient. Wukong assists merchants with comprehensive background checks, proactively identifying risks and selecting high-quality partners. It also offers deep traceability and across-the-web price comparison, dramatically boosting procurement efficiency. In the future, when opening a new online store, merchants can leverage 1688’s official distribution channels, using AI to automate product listing and routine operations.
Releasing OPT’s Top Ten Industry Solutions—Ready-to-Use “One-Person Teams”
Wukong simultaneously unveiled OPT (One Person Team), ten industry-specific solutions—the world’s first set of practical frameworks that transform AI Skills from technical concepts into immediately deployable industry products. The initial lineup covers e-commerce, cross-border e-commerce, knowledge creators, software development, retail stores, design, manufacturing, legal services, finance & taxation, and headhunting. Users can activate their dedicated “AI work team” with a single click.
Unlike generic agent frameworks, Wukong’s OPT provides a three-in-one package: scenario-based skill combinations, pre-configured workflows, and accumulated industry data. Users only need to make decisions and approve outcomes; the rest of the process is handled entirely by AI. Each Skill is tailored to specific roles, contexts, and standard operating procedures, functioning as highly specialized “industry capability modules.”
Real-World Case: One-Person Cross-Border E-commerce Cuts Cycle from One Week to Afternoon
In the traditional model, cross-border e-commerce operators must manually check Amazon’s bestseller lists, compare prices on 1688, individually contact suppliers to confirm inventory and logistics, optimize product titles, and produce multilingual promotional videos—a tedious and repetitive process. Wukong’s “One-Person Cross-Border E-commerce” solution, powered by an AI-driven operational system encompassing “product radar, content generation, and selling-point testing,” successfully compresses the entire workflow from seven days down to just one afternoon.
DingTalk Enters a New Phase as an AI-Native Work Platform
The launch of Wukong marks DingTalk’s official evolution from a collaborative office tool into an AI-native work platform. “Over the past 11 years, DingTalk has transformed the way people work; today, Wukong is defining a new paradigm for the AI era. Although still in its early stages, Wukong’s pace of iteration promises to be astonishing,” Chen Hang concluded.
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