China Telecom’s AI Agent Reaches a Major Adoption Milestone
China Telecom’s workplace AI agent, TeleAgent, has surpassed 1.5 million registered users and 200,000 daily active users. The milestone marks a sharp increase from just 27,000 registered users in mid-June. Liu Guiqing, executive director, president, and chief operating officer of China Telecommunications Corporation, announced the figures at PT Expo China 2026. The announcement highlights the rapid expansion of an enterprise AI product designed to complete workplace tasks.
TeleAgent first appeared at the World Artificial Intelligence Conference 2026, where China Telecom introduced its workplace-focused capabilities. Liu described the product as evidence of a shift from AI that understands language to AI that completes tasks. The company views its user growth as a sign that autonomous agents are moving beyond demonstrations toward large-scale enterprise adoption. That shift places practical task execution, rather than conversation alone, at the center of TeleAgent’s value proposition.
How TeleAgent Turns Everyday Office Tasks Into Results
Built by China Telecom AI Technology Co., TeleAI, TeleAgent serves individual professionals, small and medium-sized enterprises, and large state-owned conglomerates. Its enterprise software-as-a-service edition supports collaboration across multiple devices and customization for specific workplace scenarios. A private-deployment edition, released in mid-August, keeps models and data entirely within customers’ local environments. This option addresses organizations that require greater control over their data and digital infrastructure.
TeleAgent runs natively on Windows, macOS, Kylin OS, and UnionTech OS, without complex server setup for individual users. Professionals can drag files into its workspace, state their objectives, and let the agent execute tasks from start to finish. Its skill marketplace has grown from roughly 40,000 entries to more than 50,000. According to China Telecom, users created 99% of these skills to address practical productivity challenges. This user-driven ecosystem reflects how professionals can adapt the agent to their own work requirements.
Survey results offer further insight into TeleAgent’s reported workplace impact. Among surveyed enterprise pilot users and power users, 90% said the agent had become integral to their daily routines. Document drafting, industry research, and automated data analysis accounted for more than half of its usage. Additionally, 79% reported significant productivity gains, while 35% said the tool exceeded their expectations. TeleAgent earned a Net Promoter Score of 62.9, indicating strong reported willingness among surveyed users to recommend it.
The survey also examined respondents who had previously used competing platforms, representing 74% of those surveyed. Among this group, 89% rated TeleAgent on par with market leaders, while 16% considered it superior. Practical deployments illustrate how the agent can reduce the time required for complex office processes. One consulting analyst reported that a quarterly task involving more than 20 reports from five systems once required half a day of data cleaning and chart preparation. With TeleAgent, the same process now takes five minutes, from raw data uploads to completed reports with interactive charts. At China Telecom, a regional sales and channel operations unit also cut daily cross-system consolidation from hours to minutes during a major commercial campaign and automated report distribution entirely.
Security, Cost Control and Enterprise Integration Define TeleAgent
China Telecom identifies security, efficiency, and results as the three pillars of TeleAgent’s competitive approach. Its security architecture features a four-layer defense loop that covers perception, reasoning, execution, and memory. A lightweight security sandbox also isolates file access, while the product has earned certifications from the China Academy of Information and Communications Technology (CAICT). In evaluations by QiAnXin and other leading security vendors, TeleAgent cleared 99.7% of 336 threat evaluation scenarios.
For efficiency, TeleAgent relies on China Telecom’s Xingchen multimodal foundation model and its integrated five-in-one intelligent cloud. This level of control supports what the company calls token-based operations, which use an intelligent model router to direct requests toward cost-effective foundation models. Context compression also helps reduce latency and inference costs. For workplace results, TeleAgent is tailored to Chinese-language tasks, especially complex spreadsheets, briefings, and presentations. Its persistent long-term memory adapts to user habits over time, while an IDC technical evaluation gave the product a score of 6.85 and ranked it among China’s top three enterprise-grade general-purpose agent products.
Beyond its core capabilities, TeleAgent serves as the enterprise flagship for China Telecom’s unified group-wide agent architecture. At its center, the Xing Xiaochen agent hub coordinates multimodal intent recognition, task planning, and tool orchestration through a “build once, reuse across the network” framework. China Telecom has integrated capabilities across navigation services such as AutoNavi, corporate travel through Umetrip, lifestyle services, and weather. In addition, 60 agent applications from 44 external partners are undergoing technical integration. This expanding ecosystem supports the company’s effort to bring AI agents into a wider range of workplace tasks and enterprise services.
TeleAgent’s Next Challenge Lies Beyond China Telecom’s Network
With more than 1.5 million registered users, TeleAgent has established a substantial base for China Telecom’s workplace AI ambitions. Its reported productivity gains, security safeguards, and expanding partner network support the company’s goal of wider enterprise adoption. China Telecom now aims to extend these capabilities across broader enterprise ecosystems through China Telecom Global. The initiative seeks to help multinational organizations pursue secure, localized, and intelligent digital transformation.
TeleAgent’s progress reflects a broader shift from AI that interprets requests to agents that execute complex workplace tasks. Its ability to reduce hours of routine work to minutes offers a practical example of that transition. Meanwhile, its private deployment options, security architecture, and external integrations address several needs of enterprise customers. China Telecom’s next step is to bring this approach to more organizations beyond its existing network. Whether TeleAgent can sustain its early momentum across multinational markets will depend on how effectively it delivers on that stated ambition.