Core Insights - AI is fundamentally reshaping the operational logic of businesses, transitioning from a human-centric model to an AI-driven approach [1][2][3] - Companies that have embraced AI early are experiencing significant improvements in customer service, marketing conversion, and operational efficiency [2][6] Group 1: Challenges of Human-Driven Models - Traditional human-driven organizational structures are increasingly revealing issues such as high costs, low efficiency, and slow response times [2][3] - In customer service, reliance on large teams leads to inefficiencies, with management layers and communication chains causing delays and reduced customer satisfaction [3][5] - The marketing sector faces similar challenges, where human-driven sales processes result in uneven lead distribution and low conversion rates, hindering growth [5] Group 2: Advantages of AI Employees - AI employees can autonomously handle over 80% of standardized customer service inquiries, allowing human agents to focus on complex issues, thus improving response times significantly [6][11] - In marketing, AI employees can independently engage customers, recommend solutions based on historical data, and efficiently manage leads, directly impacting revenue growth [6][8] Group 3: Organizational Transformation - Transitioning to an AI-driven model requires a complete restructuring of business processes, such as simplifying customer service hierarchies from three layers to two, enhancing efficiency [11][12] - The organizational structure shifts from "human managing humans" to "human managing AI," leading to a reduction in team sizes and a flatter organizational hierarchy [12][14] - Functional departments must also adapt, with traditional training roles evolving into knowledge management teams that focus on structuring information for AI utilization [14][15] Group 4: Strategic Imperative - The shift from human-driven to AI-driven operations is not merely an upgrade but a necessary strategic transformation for companies to remain competitive [8][15] - Future competition will hinge on the effectiveness of AI as a productivity engine rather than the number of human employees [15]

Core Insights - AI is transitioning from "technology proof of concept" to "scaled industrial implementation," with many companies embracing AI but struggling to create measurable business value [1] - The key challenge lies not in the AI technology itself but in the ability of companies to transform AI from "capability" to "productivity" [1] - Deep collaboration between technology and business is essential to unlock AI's potential [1] AI Applications - Customer service and marketing are identified as optimal entry points for AI transformation due to their ease of implementation, broad demand, and quick results [1][2] - To maximize AI's value, companies must integrate AI deeply into business processes, shifting from "human-driven" to "AI-driven" operations [1][2] Role of AI Trainers - AI trainers play a crucial role in teaching AI the business process logic, judgment systems, and language nuances necessary for task completion [2] - As AI employees gain business understanding and contextual adaptability, they can exhibit human-like warmth and intelligence, transforming customer service from a cost center to a value center [2] - Companies that successfully implement AI are establishing significant competitive barriers in customer service and marketing, making AI trainers highly sought-after talents [2] AI Trainer Development - Tianrun Rongtong has launched an elite AI trainer program to help companies quickly build AI-driven production capabilities, enhancing efficiency and growth [3] - The program focuses on practical skills and strategic value in the AI era, presenting a timely opportunity for businesses [3] Expertise and Training - The company boasts professionals with extensive experience in AI and software, leading various AI project implementations and upgrades for numerous listed companies [6] - AI trainers are dedicated to providing professional AI training and consulting services, assisting clients in achieving technological empowerment and business growth [9] Training Program Features - The training program features a "learn-practice-evaluate-apply" four-dimensional closed-loop design, significantly improving training conversion rates [10] - Participants will gain a comprehensive knowledge system for rapid internal retraining within their organizations [11] - Successful outcomes will be included in Tianrun Rongtong's official client case library, fostering a continuous mutual support network among industry peers [12]

近年来，客户联络行业受到哪些技术驱动因素的影响？ 客户联络行业是一个长周期的行业，从全球范围来看，主要应用在客服、电话 营销、售前咨询和商品推荐以及贷后催收催缴四大场景。过去 35 年，这些场 景一直存在，但其格局不稳定，受技术影响较大。在过去十年里，云计算成为 主要的技术驱动力量，包括基础设施云化和通讯资源云化。这两个轨道交叉促 进了中国业务量的快速增长，使企业规模得以扩大。此外，SaaS 形态也在这 十年内逐渐普及，我们公司作为 SaaS 形态的受益者，目前绝大部分收入都是 订阅制的循环性收入。 中国客户联络行业与美国同类行业相比有哪些特点？ 中国客户联络行业在过去十年经历了快速发展，但也面临严重内卷问题。尽管 业务量和客户数量突飞猛进地增长，但价格却急剧下降，目前价格仅为十年前 天润云 20251010 摘要 中国客户联络行业内卷严重，业务量和客户数激增，但价格大幅下降， 仅为十年前的 8%，导致企业规模受限，员工效率提升空间触顶，客服 人员流失率高。 客户联络市场格局趋于稳定，Agent 发展带来重构机会，AIGC 赋能 SaaS，从提升人的效率转向 AI 直接替代人，对管理软件赛道产生深远 影响。 ...

股份發行人及根據《上市規則》第十九B章上市的香港預託證券發行人的證券變動月報表 截至月份: 2025年9月30日 狀態: 新提交 FF301 致：香港交易及結算所有限公司 公司名稱: 天润云股份有限公司（於開曼群島註冊成立的有限公司） 呈交日期: 2025年10月6日 I. 法定/註冊股本變動 | 1. 股份分類 | 普通股 | 股份類別 | 不適用 | | 於香港聯交所上市 (註1) | | | 是 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 證券代號 (如上市) | 02167 | 說明 | | | | | | | | | | | 法定/註冊股份數目 | | | 面值 | | | 法定/註冊股本 | | | 上月底結存 | | | 500,000,000 | USD | | 0.0001 | USD | | 50,000 | | 增加 / 減少 (-) | | | 0 | | | | USD | | | | 本月底結存 | | | 500,000,000 | USD | | 0.0001 | USD | | 50, ...

（於開曼群島註冊成立的有限公司） 股份代號 : 2167 2025 中 報 科技賦能 成就客戶 目 錄 公司資料 2 財務摘要 4 業務回顧、業務概覽及業務前景 5 管理層討論及分析 9 企業管治及其他資料 16 中期簡明綜合損益表 28 中期簡明綜合全面收益表 29 中期簡明綜合財務狀況表 30 中期簡明綜合權益變動表 32 中期簡明綜合現金流量表 34 中期簡明綜合財務資料附註 36 釋義 48 技術詞彙表 52 公司資料 董事會 執行董事 吳強 （首席執行官）（主席） 潘威 李晉 安靜波 （已於2025年3月28日辭任） 獨立非執行董事 翁陽 李鵬濤 李志勇 審計委員會 李志勇 （主席） 李鵬濤 翁陽 薪酬委員會 李鵬濤 （主席） 李志勇 吳強 提名委員會 吳強 （主席） 李鵬濤 翁陽 總部及中國主要營業地點 中國北京市 北京經濟技術開發區 榮華南路 2號院1號樓28-29層 環境、社會及管治（「ESG」）委員會 吳強 （主席） 潘威 翁陽 聯席公司秘書 王歡 呂穎一 授權代表 吳強 呂穎一 核數師 安永會計師事務所 註冊會計師及 註冊公眾利益實體核數師 香港鰂魚涌英皇道979號 太古坊一座27樓 註冊 ...

FF301 股份發行人及根據《上市規則》第十九B章上市的香港預託證券發行人的證券變動月報表 截至月份: 2025年8月31日 狀態: 新提交 致：香港交易及結算所有限公司 II. 已發行股份及/或庫存股份變動 | 1. 股份分類 | 普通股 | 股份類別 | 不適用 | | 於香港聯交所上市 (註1) | 是 | | | --- | --- | --- | --- | --- | --- | --- | --- | | 證券代號 (如上市) | 02167 | 說明 | | | | | | | | | 已發行股份（不包括庫存股份）數目 | | 庫存股份數目 | | 已發行股份總數 | | | 上月底結存 | | | 173,573,400 | | 427,000 | | 174,000,400 | | 增加 / 減少 (-) | | | | 0 | 0 | | | | 本月底結存 | | | 173,573,400 | | 427,000 | | 174,000,400 | 公司名稱: 天润云股份有限公司（於開曼群島註冊成立的有限公司） 呈交日期: 2025年9月4日 I. 法定/註冊股本變動 | 1. 股份 ...

Group 1 - The core viewpoint of the articles highlights Tianrun Cloud's strong financial performance in the first half of 2025, with revenue of approximately 269 million yuan, a year-on-year increase of 13.8% [1] - The company's gross profit reached about 139 million yuan, reflecting a year-on-year growth of 14.4% [1] - Net profit for the period was 27.67 million yuan, showing a significant year-on-year increase of 98.9%, with earnings per share at 15.93 cents [1] Group 2 - Revenue from SaaS solutions increased from 219.9 million yuan for the six months ending June 30, 2024, to 257.2 million yuan for the six months ending June 30, 2025, representing a growth of 17.0% and accounting for 95.7% of total revenue [2] - The company has established a broad, high-quality, and loyal customer base across various industries, including technology, insurance, automotive, education, healthcare, consumer goods, and manufacturing [2] - In the first half of 2025, the group served 1,357 SaaS customers with annual recurring revenue exceeding 10,000 yuan, a 3.1% increase from 1,316 customers in the first half of 2024 [2] - Customer retention rates for all SaaS customers were 71.8% and net retention rates by revenue were 108.0% in the first half of 2025, compared to 74.2% and 100.3% in the first half of 2024, respectively [2] Group 3 - Tianrun Cloud is committed to an AI-first business strategy, integrating AI technology deeply into all products, services, and operational processes [1] - The company launched the Weiteng AI Intelligent Agent platform in 2024, which integrates multiple foundational large models, enabling the provision of diverse and flexible solutions to meet evolving customer needs [1] - Over one-third of new customers purchased the company's AI products in the first half of the year, with expectations for accelerated deployment of AI intelligent agent scenarios in the near future [1]

Group 1 - The core viewpoint of the articles highlights Tianrun Cloud's strong financial performance in the first half of 2025, with revenue of approximately 269 million yuan, a year-on-year increase of 13.8% [1] - Gross profit reached approximately 139 million yuan, reflecting a year-on-year growth of 14.4% [1] - The net profit for the period was 27.67 million yuan, showing a significant year-on-year increase of 98.9%, with earnings per share at 15.93 cents [1] Group 2 - The revenue growth is primarily attributed to the increase in income from SaaS solutions, which rose from 219.9 million yuan for the six months ending June 30, 2024, to 257.2 million yuan for the six months ending June 30, 2025, representing a growth of 17.0% [2] - SaaS solutions accounted for 95.7% of the total revenue, indicating a strong reliance on this segment [2] - The company served 1,357 SaaS customers with annual recurring revenue exceeding 10,000 yuan in the first half of 2025, a 3.1% increase from 1,316 customers in the same period of 2024 [2] Group 3 - The customer retention rate for all SaaS customers was 71.8% in the first half of 2025, down from 74.2% in the first half of 2024 [2] - The net retention rate by revenue was 108.0% in the first half of 2025, compared to 100.3% in the first half of 2024, indicating an increase in revenue from existing customers despite a slight decline in customer retention [2] Group 4 - The company is committed to an AI-first strategy, integrating AI technology deeply into all products, services, and operational processes [1] - The launch of the Weiteng AI Intelligent Agent platform in 2024, which integrates multiple foundational models, allows the company to offer diverse and flexible solutions to meet evolving customer needs [1] - Over one-third of new customers in the first half of 2025 purchased the company's AI products, with expectations for accelerated deployment of AI scenarios in the near future [1]

TI Cloud Inc. 天潤雲股份有限公司 （於 開 曼 群 島 註 冊 成 立 的 有 限 公 司） （股 份 代 號：2167） （以 下 稱「本公司」） 2.1 提 名 委 員 會 秘 書 由 本 公 司 的 公 司 秘 書 擔 任。 2.2 提名委員會可不時委任任何其他具備合適資格及經驗的人士為 提 名 委 員 會 秘 書。 4. 出席會議 5. 股東週年大會 5.1 提 名 委 員 會 的 主 席 或（如 缺 席）提 名 委 員 會 的 另 一 名 成 員（必 須 為 獨 立 非 執 行 董 事）須 出 席 本 公 司 股 東 週 年 大 會，並 回 應 股 東 對 提 名 委 員 會 的 活 動 及 責 任 的 提 問。 提 名 委 員 會－職 權 範 圍 1. 成 員 2. 提名委員會秘書 3. 會 議 3.1 提 名 委 員 會 成 員 可 在 有 需 要 的 情 況 下 於 任 何 時 間 召 開 會 議。 – 1 – 1.1 本 公 司 提 名 委 員 會（「提名委員會」）須 由 本 公 司 董 事 會（「董事會」） 委 任，且 提 名 委 員 會 的 大 多 數 成 員 應 為 獨 ...

Financial Highlights [Key Financial Data](index=1&type=section&id=%E5%85%B3%E9%94%AE%E8%B4%A2%E5%8A%A1%E6%95%B0%E6%8D%AE) Revenue increased **13.8%** to **RMB 268.7 million**, with net profit surging **98.9%** to **RMB 27.67 million**, fueled by SaaS and AI product expansion | Metric | 2025 (RMB thousands) | 2024 (RMB thousands) | YoY Change | | :--- | :--- | :--- | :--- | | Revenue | 268,670 | 236,150 | 13.8% | | Gross Profit | 139,445 | 121,920 | 14.4% | | Gross Margin | 51.9% | 51.6% | 0.5% | | Profit Before Tax | 27,638 | 13,899 | 98.8% | | Profit for the Period | 27,671 | 13,910 | 98.9% | - The Board does not recommend an interim dividend for the six months ended June 30, 2025[4](index=4&type=chunk) Management Discussion and Analysis [Business Review](index=2&type=section&id=%E6%A5%AD%E5%8B%99%E5%9B%9E%E9%A1%A7) Tianrun Cloud actively reshapes the customer contact industry with an AI-first strategy, launching the Weiteng AI Agent Platform and deploying AI products to drive SaaS revenue growth - Generative AI (AIGC) and AI agent technology revolutions are reshaping the customer contact industry, with Tianrun Cloud committed to providing and cultivating AI digital employees for enterprises to enhance interaction efficiency and personalized experiences[5](index=5&type=chunk) - Tianrun Cloud adheres to an AI-first operating strategy, deeply integrating AI technology into products, services, and operations. The Weiteng AI Agent Platform, launched in 2024, integrates multiple foundational large models and has been successfully deployed in consumer electronics, retail, home appliances, and industrial equipment sectors[6](index=6&type=chunk) - In the first half of 2025, over **one-third of new customers** purchased the company's AI products, with scenario-based deployment of AI agents expected to accelerate[6](index=6&type=chunk) | Metric | H1 2025 | H1 2024 | YoY Change | | :--- | :--- | :--- | :--- | | SaaS Solution Revenue (RMB hundreds of millions) | 2.572 | 2.199 | 17.0% | | Share of Total Revenue | 95.7% | - | - | | SaaS Customers with ARR > RMB 10,000 | 1,357 | 1,316 | 3.1% | | SaaS Customer Retention Rate | 71.8% | 74.2% | -2.4% | | Net Retention Rate by Value | 108.0% | 100.3% | 7.7% | [Market Trends and AI Strategy](index=2&type=section&id=%E5%B8%82%E5%9C%BA%E8%B6%8B%E5%8A%BF%E4%B8%8EAI%E6%88%98%E7%95%A5) The company actively responds to AIGC and AI agent technology revolutions, integrating AI into products and services, launching the Weiteng AI Agent Platform to provide AI digital employees for enhanced customer interaction and personalized experiences - AI technology revolution is reshaping the customer contact industry, with Tianrun Cloud committed to providing AI digital employees for enterprises to enhance customer interaction effectiveness, personalized customization, and customer experience[5](index=5&type=chunk) - The company adheres to an AI-first operating strategy, deeply integrating AI technology into all products, services, and operational processes, and launched the Weiteng AI Agent Platform in 2024, integrating multiple foundational large models[6](index=6&type=chunk) [SaaS Solution Performance](index=2&type=section&id=SaaS%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88%E8%A1%A8%E7%8E%B0) SaaS solution revenue grew **17.0%** to **RMB 257.2 million**, accounting for **95.7%** of total revenue, with customer count increasing **3.1%** and net retention rate by value rising to **108.0%** | Metric | H1 2025 | H1 2024 | YoY Change | | :--- | :--- | :--- | :--- | | SaaS Solution Revenue (RMB hundreds of millions) | 2.572 | 2.199 | 17.0% | | Share of Total Revenue | 95.7% | - | - | | SaaS Customers with ARR > RMB 10,000 | 1,357 | 1,316 | 3.1% | | SaaS Customer Retention Rate | 71.8% | 74.2% | -2.4% | | Net Retention Rate by Value | 108.0% | 100.3% | 7.7% | - The company has established a broad, high-quality, and loyal customer base, covering various industries including technology, insurance, automotive, education, healthcare, consumer goods, and manufacturing[7](index=7&type=chunk) [Business Overview](index=3&type=section&id=%E6%A5%AD%E5%8B%99%E6%A6%82%E8%A7%88) Tianrun Cloud provides cloud-native customer contact solutions, delivered via SaaS and VPC models, to enable multi-channel interaction, intelligent sales, marketing, and customer service for enterprises - The company provides cloud-native customer contact solutions, built on a secure and reliable platform, empowering enterprises with multi-channel interactions for intelligent sales, marketing, and customer service functions[8](index=8&type=chunk) - Solutions are primarily offered through Software-as-a-Service (SaaS) and Virtual Private Cloud (VPC) models, developed by an in-house R&D team, ensuring high capacity and availability[8](index=8&type=chunk) [SaaS Model](index=3&type=section&id=SaaS%E6%A8%A1%E5%BC%8F) The SaaS model allows customers to create customer contact functionalities without upfront software or hardware investment, offering flexible seat adjustments via public cloud deployment and recurring subscription fees - Cloud-native customer contact services delivered via the SaaS model require no upfront software or hardware investment from customers, offer flexible seat adjustments, and are provided on a recurring subscription basis[9](index=9&type=chunk) [VPC Model](index=3&type=section&id=VPC%E6%A8%A1%E5%BC%8F) The VPC model provides isolated private cloud solutions in a public cloud environment, primarily serving large state-owned enterprises and multinational corporations with stringent security requirements, offering highly customized customer contact functions on a project basis - The VPC model delivers solutions in a virtual private cloud, serving large state-owned enterprises and multinational corporations with strict security requirements, offering highly customized functionalities on a project basis[10](index=10&type=chunk) [Other Services and Product Sales](index=3&type=section&id=%E5%85%B6%E4%BB%96%E6%9C%8D%E5%8A%A1%E5%8F%8A%E4%BA%A7%E5%93%81%E9%94%80%E5%94%AE) The company also generates revenue by providing services and selling complementary products, primarily telecommunications equipment, to meet the specific needs of existing customers - Other revenue sources include providing services and selling complementary products, primarily telecommunications equipment, to meet the specific requirements of existing customers[11](index=11&type=chunk) [Our Products](index=4&type=section&id=%E6%88%91%E5%80%91%E7%9A%84%E7%94%A2%E5%93%81) Tianrun Cloud offers intelligent customer contact solutions and AI agent & ContactBot solutions, leveraging AI to significantly enhance human agent efficiency, customer interaction experience, and automate business processes - The company provides intelligent customer contact solutions and AI agent & ContactBot solutions, designed to empower customers with efficient interactions across various business scenarios[12](index=12&type=chunk) [Intelligent Customer Contact Solutions](index=4&type=section&id=%E6%99%BA%E8%83%BD%E5%AE%A2%E6%88%B7%E8%81%94%E7%BB%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88) This solution, through AI-native transformation, provides human agents with intelligent tools such as conversation record extraction, answer optimization, sentiment recognition, intent analysis, and conversation summary generation, significantly improving communication efficiency and service quality - Intelligent customer contact solutions are fully upgraded, empowering full-channel customer service, call centers, and intelligent work orders with AI-native transformation capabilities[13](index=13&type=chunk) - Key advancements in AI-powered agents include: intelligent extraction of conversation records, one-click answer optimization, real-time monitoring of customer sentiment, automatic analysis of conversation intent, and rapid generation of conversation summary abstracts[13](index=13&type=chunk) [AI Agent and ContactBot Solutions](index=5&type=section&id=AI%E6%99%BA%E8%83%BD%E4%BD%93%E8%88%87ContactBot%E8%A7%A3%E6%B1%BA%E6%96%B9%E6%A1%88) In 2025, the company further upgraded its ContactBot solution by integrating AI agents, enabling precise recognition of complex intents, multi-turn conversations, end-to-end business process automation, seamless human agent handover when issues are unresolved, and continuous learning and optimization - In 2025, the company upgraded its ContactBot solution by integrating AI agents, transforming it into an intelligent conversational product capable of understanding customer intent, engaging in natural multi-turn dialogues, and guiding customers through end-to-end business processes[14](index=14&type=chunk) - Core capabilities include: precise recognition of complex intents and multi-turn conversations, end-to-end business process automation (integrating with CRM,