
文|市象 景行
编辑|古甘
AI办公的竞争逻辑,在2026年秋天完成了一次换轨。
含义再明显不过:国内各行业的头部企业,正在携手WorkBuddy走进AI办公新时代。
值得重点关注的,是名单中的企业分量。
金融业站出来的是广发证券、东方财富、平安证券、三星财险、遂宁银行、通达信;零售业是伊利、名创优品、上海家化、自然堂、洁柔、微盟、云鲸、快鱼、樊文花九家;出行赛道是长安汽车与零跑;制造与能源是晶科能源、新华三;酒旅是携程与同程程心。
再往后数,工商信息领域的双雄企查查、天眼查同框,法律信息库北大法宝、HCM第一股北森、BI老牌厂商帆软、ERP厂商畅捷通悉数在列。16个赛道,几乎每个赛道站出来的都是排头兵。
这批客户集体站队WorkBuddy,传递的核心信息高度一致——企业要的不是会聊天的AI,而是让AI真正进入工作流程,把员工从重复劳动中解放出来。
上墙的36家企业,只是WorkBuddy版图的一个切片,更大的盘面早已铺开。
这款2026年3月才上线的产品,至今完成50多个版本更新,落地政务、金融、零售、制造等50多个行业,服务3000多家企业客户、14万多个付费席位,市场份额始终保持断档领先。
结论十分明确,当AI从拼参数走向拼落地,企业集体采购证明,WorkBuddy正在被中国最挑剔的客户集体验证。
01 增长方式重构,从生态开始
这批名单的企业,共同画像是决策链路长、合规要求高、对供应商挑剔。
广发证券、伊利、长安汽车这个量级的企业,任何一次工具采购都要过安全评审、法务审核、业务验证数道关卡,选型周期以季度计。
毕竟,选错一个工具损失的是预算,选错一个底座耽误的是转型窗口。而选择WorkBuddy,是谨慎评估后的用脚投票。
这引出了本质问题。企业选择AI办公产品时,盯的从来不是参数榜单,而是选能进业务流程的生产力工具和组织基础设施,看的是安全、兼容性、性价比。
以安全为例。
数据是企业的核心资产,泄密风险无法承受,头部企业的选型流程里安全评审永远先行。比如,产品的数据权限是否可控,操作是否可审计,敏感材料交给AI会不会泄露。
WorkBuddy交出的答卷是,全国首批且唯一获评智能体最高级标识;首批通过中国信通院智能体评估,5大维度、57项能力项逐项过关。
兼容性则要保证企业的迁移成本更低。
企业看的是产品能否融入现有工作流,包括微信/企微等IM体系、Excel、文档、邮件等系统,以及是否要改变员工工作习惯。
这是WorkBuddy的优势所在。
产品已经打通微信、企业微信、QQ、飞书、钉钉等国内主流办公IM,员工手机上发条信息,就能给电脑下任务;同时也是业界首个登陆iOS、Android、鸿蒙三端的通用智能体应用。
性价比包含成本与效率两项。要看部署快不快,员工学不学得会、Token烧不烧得起。
WorkBuddy的优势恰好在这。无需购买服务器,安装即用、1分钟上线,Token不用买,产品内置DeepSeek、GLM、Kimi、MiniMax等全球顶尖模型,GPT、Claude、Gemini也可选配。
过去企业要私有化部署先买服务器,接API按Token计费,业务量一上来账单就失控。在WorkBuddy模式下不仅采购账好算,也不用养专门的接入团队,模型能力变成一笔可控账单。
背后是产品定位的差别。
WorkBuddy定位于全场景职场AI智能体桌面工作台,换句话说,产品要做所有人的工作台,给企业做AI底座。
当目标用户扩展到非技术员工,目标场景是企业全员的海量调用,这要求AI办公产品不仅要可靠易用,还要超越以往产品,带脑子思考并实际操作本地文件,像同事一样自主规划、执行复杂任务,交付可验收的成果。
比尔·盖茨曾在2023年发文判断,Agent将成为继操作系统、浏览器之后的下一个平台。对企业而言,如今预言已成现实,AI开始从聊天框变成生产力入口。
正因如此,36家头部客户同框,选的不只是一款产品,而是一个能承载工作流的生态底座。背后实质,是在为AI办公时代的工作方式投票。
02 超2000万访问量,赢在路径上
与传统AI办公产品相比,WorkBuddy试图完成一次产品范式的切换。
早期的AI办公,以聊天机器人模式为主。2023年的百模大战中,国内先后发布上百个大模型,企业集体选择把大模型塞进客服和问答场景。
问题很快出现,一是AI幻觉难以解决,二是场景衔接不上,聊天归聊天,业务归业务。
第二阶段的AI办公侧重单点工具层面,给出写作助手、会议纪要、PPT生成等垂直场景的内容生成与建议,但文件的操作仍需自己动手,AI省下了想的时间,却没省下做的时间。
WorkBuddy的交互起点是一个完整的工作委托,产品重心从对话直接转向执行。
用户用自然语言描述目标后,智能体自主拆解步骤、操作本地文件、调用工具,最终交付可验收的成果,可以是完整报告,也可以是整理好的文件夹。在此过程中,用户只需定义目标和验收标准。
在交互层面,WorkBuddy正在降低入门门槛。
Codex、Claude Code等产品从命令行和IDE出发,用户需要理解Agent调度、Token预算管理等概念,本质上是为工程师设计的交互逻辑,再向办公场景延伸。
WorkBuddy的路径恰好相反,直接把Agent能力封装成不需要说明书就能用的工具。取数、清洗、分析、制表等一系列动作直接在系统内部完成,员工不需要从零学习入口,使用门槛降到了地板。
这样简单的产品定位,砍掉了传统企业软件以月计的复杂部署。WorkBuddy与腾讯文档等产品的整合方式不是调用API,而是深度集成。
通过底层的开放接口、统一身份认证以及AI智能体等技术,企业微信、腾讯会议、WorkBuddy正在将腾讯系的办公产品从信息孤岛打通为数字闭环。
例如,企业微信作为统一入口,可以实现组织架构的同步与单点登录;用户在微信的聊天记录,可以一键转发给AI处理,再借助WorkBuddy将项目文档、会议记录、日报等产出整理到项目空间。
整套结构中,IM场景是沟通枢纽,腾讯会议是决策与记录中心,WorkBuddy则负责串联。信息、任务、文档得以在一个生态内自动流转,沉淀并驱动业务执行。
这能解释WorkBuddy为什么会迎来非技术用户的海量涌入。
《2026年Q2中国办公智能体平台市场洞察报告》显示,WorkBuddy在国内PC端AI原生办公智能体市场6月单月访问量超过2000万,位居行业首位,访问量超过二三名总和。
支撑高访问量的杠杆,既有执行交付带来的高留存,也有全员场景带来的产品宽度。
背后是产品哲学的路径分野。过去AI办公产品的定位是做开发者工具,目标群体是程序员和技术极客,这条路的天花板就是业内开发者总量。
而WorkBuddy的路径是做所有人的工作台,面向财务、运营、行政、销售等岗位全员开放,天花板是数以亿计的一线工作者。前者赢在深度,后者赢在宽度。
03 超级个体,改写组织效率
为了让企业用得更方便,WorkBuddy先对自己动了刀。
最直接有效的一招,是拿自己当第一客户。从2026年1月内部测试起,WorkBuddy已经覆盖腾讯内部1.2万多名员工常态化、高强度的使用场景。HR、行政、运营、销售场景里都蹚过雷,才对外交付。
第二刀指向产品形态变革。9月2日,腾讯WorkBuddy开放平台正式上线,定位于面向Agent时代的操作系统,向第三方开发者、ISV和企业自建系统开放,欢迎企业在开放平台上构筑自己的生态。
这让WorkBuddy同时坐拥三层生态的开放。硬件侧与超过30个品牌合作,实现跨设备数据无缝流转;应用侧向行业开放,企业只需要将自身业务、工具接入Buddy应用,就能快速构建专属AI工作台;开发者一侧开放Skill、专家、连接器能力,支持开发者将独有系统或流程接入平台,输出行业经验。
换言之,WorkBuddy正在拆解并开放底层能力,供第三方将Agent能力接入自己的场景,构建互联互通的AI办公生态。
这也在改变客户企业的流程习惯。
此前员工做跨应用工作,需要在Excel、文档、邮件等场景之间来回切换,时间大量消耗在信息搬运上;现在只需在企业微信里说话,PC端WorkBuddy自动跑完流程并交付结果。
人与AI的分工进一步明晰。人负责定义边界和验收标准,AI承担可委派的执行环节。
蒙牛的新零售团队此前的业务流程是,每天要从电商平台拉订单,比对工厂生产排期后录入SAP,整套流程要3个小时。在使用WorkBuddy后,团队改用AI自动抓取订单并处理,时间直接压缩到15分钟。
在信息密度更高的行业,这样的变革体现得最明显。
例如,金融业有密集的材料撰写分析需求,研报、合规材料动辄数十页,过去靠初级分析师人肉堆时间;零售业有高强度运营的需求,一条素材要改出多渠道版本、会员运营是多线程消耗。
这些场景的共同点,是大量人力耗在信息的整理与流转上。如今从人找工具变成任务找人,一句话下达,智能体就能拆解执行。
此次Logo墙的名单更具说服力。
北森与畅捷通,一家是HCM领域的国内HR SaaS第一股,一家是ERP老牌厂商,做的都是帮企业提升效率的业务。如今自己成了AI办公提效产品的客户。
卖效率的人先用AI办公武装自己,这比任何厂商侧的自证都诚实。
更重要的是,WorkBuddy正在企业内批量复刻超级个体。
过去几年,Cursor、ChatGPT等工具一度掀起个体效率革命,但面临一个问题,超级个体的能力无法脱离个人而存在。员工的方法论只存在于个人记忆里,换一个人效率就不一样。
WorkBuddy则通过Skill把方法变成资产。一个员工把办公能力封装,任何同事都能立即复现相同质量的成果,个体实践变成了团队可随时调用的标准能力。
这场效率革命的结果是,个人带一组智能体,能干出过去一个小团队的产出。每一个付费席位,都意味着被放大的个体能力汇入组织,形成巨大变量。
2025年,OpenAI CEO萨姆·奥特曼曾发表对AI的长期愿景:“成千上万的智能体最终会被广泛使用,成为各种业务场景中的虚拟同事。”
在中国市场,这句话的落地形态,就是工位上那个随叫随到的智能体工作台。
在企业看来,选择WorkBuddy,其实是在选择一块AI底座,借此重构自己的增长方式。AI办公的下半场,正在从拼人力转向拼个体效率与组织重构效率。红利只属于先完成重构的组织,这次上墙的36家企业只是领头羊,此后,浪潮还会延续。
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文| 市象 景行
编辑|古甘
The competitive landscape of AI office productivity underwent a significant shift in the autumn of 2026.
The message is unmistakable: leading domestic enterprises across various sectors are partnering with WorkBuddy to usher in a new era of AI-enhanced office work.
It is particularly noteworthy to examine the caliber of the companies on this list.
The financial sector is represented by heavyweights such as GF Securities, East Money, Ping An Securities, Samsung Insurance, Suining Bank, and Tongdaxin. Retail giants include Yili, MINISO, Shanghai Jahwa, Naturia, Vinda Paper, Weimeng, Cloud Whale, Kuaifish, and Fanwenhua. The automotive realm features Changan Auto and Leapmotor, while the manufacturing and energy sectors are represented by JinkoSolar and New H3C. In the travel and hospitality space, we see Ctrip and Tongcheng Travel.
Further down the roster, the information services duopoly of Qichacha and Tianyancha appears alongside the legal database Peking University Law Library, the HR leader Northgate, the veteran BI producer FanRuan, and the ERP specialist ChangJieTong. These 16 distinct sectors are dominated by market leaders, indicating that WorkBuddy has established a broad presence among the elite in each domain.
The central message from these 36 clients is consistent: businesses are not merely seeking conversational AI, but rather a technology that integrates directly into their workflows, liberating employees from repetitive manual tasks.
The featured list represents just a fraction of WorkBuddy's footprint. The product, launched in March 2026, has already undergone over 50 iterations and serves more than 3,000 corporate clients and 140,000 paid users across 50 industries, including government, finance, retail, and manufacturing, maintaining a significant market lead.
The conclusion is clear: as AI transitions from theoretical parameters to practical implementation, the collective endorsement of these demanding clients validates WorkBuddy as the standard for efficient, enterprise-grade AI integration.
01 Redefining Growth through Ecosystem Integration
The enterprises on this roster share a common profile: they have lengthy decision-making processes, high regulatory compliance requirements, and a reputation for being selective with their vendors.
Companies of the magnitude of GF Securities, Yili, and Changan Auto subject any new tool to rigorous safety audits, legal reviews, and business validations over a period of months.
The stakes are high; a poor choice of software results in wasted budget, while a poor choice of foundational platform delays digital transformation. By choosing WorkBuddy, these companies are making a pragmatic vote of confidence based on thorough evaluation.
This leads us to the fundamental issue at hand. When selecting an AI office product, businesses are not merely checking feature lists; they are looking for a tool that serves as a productive asset and a organizational infrastructure. Consequently, they prioritize security, compatibility, and cost-effectiveness.
This raises the fundamental question: when choosing AI office products, companies are never focused on parameter benchmarks. They are looking for productivity tools and organizational infrastructure that can fit into their business processes, prioritizing security, compatibility, and cost-effectiveness.
以安全为例。
WorkBuddy excels in this area, being the first in China to receive the highest certification for intelligent agents from the China Academy of Information and Communications Technology, passing 57 criteria points.
Compatibility is equally critical to ensure a seamless transition. Companies need a solution that integrates with existing workflows, such as IM systems (like WeChat or DingTalk), Excel, document stores, and email.
Compatibility is essential to ensure lower migration costs for enterprises.
In this regard, WorkBuddy offers broad support, integrating with WeChat, Enterprise WeChat, QQ, Lark, and DingTalk, allowing workers to dispatch tasks via mobile. It is also the first universal agent application available on iOS, Android, and HarmonyOS.
这是WorkBuddy的优势所在。
WorkBuddy delivers on this front by removing the need for server purchases and offering a zero-entry model, allowing for immediate use within a minute. Furthermore, its token management provides predictable costs, as it bundles access to top global models like DeepSeek, GLM, Kimi, and MiniMax, with options for GPT, Claude, and Gemini.
This model represents a significant shift from the past, where enterprises had to manage their own servers and volatile API costs. Now, AI capability becomes a stable, manageable component of the IT budget.
At its core, WorkBuddy is positioning itself as a complete desktop for all professional scenarios, acting as the AI backbone for the entire organization. Unlike products designed solely for developers (like Cursor) or single-function tools, WorkBuddy aims to be the primary interface for every employee in the company.
This strategy capitalizes on the fact that for AI to drive growth, it must be leveraged by the entire workforce, not just a specialized subset.
02 Over 20 Million Visits: Winning on the Execution Path
WorkBuddy is not just an incremental update to existing office software; it represents a fundamental shift in the paradigm of product interaction.
The initial wave of AI in the office was dominated by chatbots. The "hundreds of models" race of 2023 saw companies trying to fit large language models into customer service and Q&A roles. However, these early attempts suffered from "hallucinations" (making things up) and failed to bridge the gap between idle chat and actual business execution.
The second phase introduced specialized tools for writing assistance, meeting transcription, and PPT generation. These were improvements, but they often left the user to perform the "grunt work" of manually operating files and data, meaning AI saved time only on the brainstorming stage, not the execution stage.
WorkBuddy changes the game by starting the interaction with a complete work request. The user defines the goal, and the intelligent agent breaks down the task, manipulates the local data, and produces a deliverable result (like a report or a curated folder). The user only needs to define the standard of completion.
This interaction is intentionally low-friction. Unlike competitor products that assume a background in programming or model tuning, WorkBuddy is designed for the average office worker. Complex operations like data extraction, cleaning, analysis, and plotting are performed internally, removing the need for the user to learn a new programming language or command syntax.
Furthermore, WorkBuddy is not an isolated silo. It deeply integrates with the broader Tencent ecosystem (Enterprise WeChat, Tencent Meetings, Tencent Documents), allowing for a seamless flow of information where communication (IM), decision-making (meetings), and execution (WorkBuddy) all inform each other.
This approach yields high user retention and broad applicability. A recent market report indicated that WorkBuddy commanded a 2000+ million unique visitor count for the month of June, significantly outpacing its competitors.
The takeaway is clear: while specialized tools cater to "depth" (power users), WorkBuddy is capturing "width" (the mass market of corporate employees). By removing technical barriers, it democratizes access to AI, leading to higher adoption rates.
03 The Rise of the Super-Individual
In order to be truly useful to corporations, WorkBuddy had to undergo significant internal restructuring.
First and foremost, Tencent used WorkBuddy as its own primary test case. Deploying it internally to over 12,000 employees across HR, administration, operations, and sales ensured that the product was battle-tested against real-world scenarios before being offered to external clients.
Second, the company expanded its ecosystem significantly. On September 2nd, the WorkBuddy Open Platform launched, inviting third-party developers, ISVs, and enterprise IT departments to build on its foundation. This "three-tier" strategy—hardware partnerships for device agnostic access, application integration across industries, and a developer toolkit for custom "Skills"—ensures that WorkBuddy is not just a product, but a platform for future innovation.
The impact on client workflows is transformative. Historically, employees juggled between Excel, document editors, and email, spending countless hours "shuttling" data between systems. With WorkBuddy, a task is dispatched via a message in Enterprise WeChat, and the intelligent agent handles the rest on the PC, delivering the output directly.
This redefines the division of labor. Humans are responsible for setting the vision and the quality standards, while the AI handles the repeatable, deterministic tasks. A prime example is found with the dairy giant Mengniu, where order processing time was reduced from 3 hours to 15 minutes by automating the synchronization between e-commerce platforms and the ERP system.
The inclusion of specific clients in the logo wall provides further validation. The fact that Northgate (a HR software giant) and ChangJieTong (an ERP leader) are clients of WorkBuddy implies that even the creators of productivity software recognize the value of this AI-driven approach. They are not merely selling a tool; they are embracing a new way of working.
Finally, WorkBuddy is recreating the concept of the "Super-Individual" within the corporate context. In the past, individual productivity hacks remained personal secrets. Now, WorkBuddy allows users to encapsulate their effective strategies into reusable "Skills" that the entire team can leverage. A single employee can now consistently outperform past versions of themselves, and their best practices can be instantly shared with colleagues.
This is the essence of the productivity revolution: empowering individual creativity while simultaneously elevating the overall capacity of the organization.
The vision of OpenAI's Sam Altman for "millions of agents" becoming virtual colleagues is rapidly becoming a reality in China. Businesses that fail to adopt this technology risk being left behind in the race for efficiency, as the competitive advantage shifts from raw headcount to the optimized, AI-augmented output of the existing workforce.
This explains why WorkBuddy has seen a massive influx of non-technical users.
According to the "2026 Q2 China Office Intelligence Platform Market Insight Report", WorkBuddy topped the industry with over 20 million monthly visits in June, surpassing the combined total of the second and third places in the AI-native office intelligence market.
The leverage supporting these high visit numbers comes from both the high retention rates due to execution delivery and the product's broad application in full-employee scenarios.
This reflects a divergence in product philosophy. Previously, AI office products were positioned as developer tools, targeting programmers and tech geeks, which limited their potential to the number of developers in the industry.
In contrast, WorkBuddy's path is to become a work platform for everyone, opening up to all employees across departments like finance, operations, HR, and sales. Its ceiling is the hundreds of millions of frontline workers. The former wins on depth, the latter on width.
03 Super Individuals: Rewriting Organizational Efficiency
To make enterprise usage more convenient, WorkBuddy first turned the knife on itself.
The most direct and effective move was to treat itself as the first customer. Since the internal test in January 2026, WorkBuddy has covered over 12,000 Tencent employees in regular, high-intensity scenarios. It navigated the mines of HR, administration, operations, and sales before delivering externally.
The second blow targeted a product morphology transformation. On September 2, the Tencent WorkBuddy Open Platform launched, positioning itself as an operating system for the Age of Agents. It opens up to third-party developers, ISVs, and enterprise self-build systems, welcoming businesses to build their own ecosystems on the platform.
This gives WorkBuddy access to a three-layer open ecosystem. On the hardware side, it partners with over 30 brands to achieve seamless data flow across devices. On the application side, it opens to industries, allowing companies to quickly build customized AI workstations by integrating their businesses and tools into Buddy. On the developer side, it opens Skill, Expert, and Connector capabilities, supporting developers to integrate proprietary systems or processes into the platform to output industry-specific expertise.
In other words, WorkBuddy is dismantling and opening its underlying capabilities, allowing third parties to integrate Agent capabilities into their scenarios and build an interconnected AI office ecosystem.
This is also changing the procedural habits of client companies.
Previously, employees doing cross-application work had to switch between Excel, documents, and emails, wasting time on information transfer. Now, they simply speak in WeChat, and the PC-side WorkBuddy automatically runs the process and delivers the result.
The division of labor between humans and AI is becoming clearer. Humans define the boundaries and acceptance criteria, while AI undertakes the delegateable execution steps.
Mengniu's new retail team previously spent 3 hours daily pulling orders from e-commerce platforms, comparing them with factory production schedules, and entering them into SAP. After using WorkBuddy, the team switched to AI for automatic order retrieval and processing, compressing the time to 15 minutes.
In industries with higher information density, such changes are most pronounced.
For example, the financial industry requires frequent report writing and analysis. Creating reports and compliance materials often takes dozens of pages and relies on junior analysts spending countless hours; whereas retail requires high-frequency operations, with a single piece of content needing multiple versions for different channels, and member operations running on multiple threads.
The common theme here is that significant manpower is consumed in the organization and transfer of information. Now, instead of people looking for tools, tasks find people, and a single command to the intelligent agent triggers a cascade of actions.
The lineup on the logo wall is particularly convincing.
North Mor and Chanjet: one is the leading Chinese HR SaaS company in the HCM space, the other is a veteran ERP vendor. Both build products to improve enterprise efficiency. Now they are customers of an AI office efficiency product.
The fact that efficiency sellers are arming themselves with AI office tools is a more honest testament than any vendor self-promotion.
More importantly, WorkBuddy is mass-replicating super individuals within enterprises.
In recent years, tools like Cursor and ChatGPT sparked a revolution in individual efficiency, but faced a problem: the abilities of super individuals were tied to the person, not the team. A specific employee's methodology lived in their head, meaning efficiency dropped when roles changed.
WorkBuddy solves this by turning methods into assets through Skills. An employee can encapsulate their office skills, allowing any colleague to instantly replicate the same-quality output. Individual practices become a standard, immediately usable capability for the team.
The result of this efficiency revolution is that a single individual with a set of intelligent agents can produce the output of a past small team. Every paid seat represents an amplified individual capability joining the organization, creating a massive variable.
In 2025, OpenAI CEO Sam Altman shared his long-term vision for AI: "Thousands of intelligent agents will eventually be widely used, becoming virtual colleagues in various business scenarios."
In the Chinese market, the embodiment of this vision is the intelligent workstation sitting at every desk.
For enterprises, choosing WorkBuddy is about selecting an AI foundation to reconstruct their growth model. The second half of the AI office battle is shifting from competing on manpower to competing on individual and organizational restructuring efficiency. The dividend belongs to the organizations that complete this transformation first. The 36 companies on the wall are just the trailblazers; the wave is set to continue.