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本次訓練營以 “Executing AI in Business: Enterprise AI Training” 為主題，面向企業(yè) CIO、CTO、IT負責人、數(shù)智化轉(zhuǎn)型負責人以及企業(yè)顧問團隊，圍繞企業(yè)AI落地方法論、場景實踐、YonClaw使用以及智能體（AI Agent）構(gòu)建展開系統(tǒng)分享。

The bootcamp was held under the theme “Executing AI in Business: Enterprise AI Training”, bringing together CIOs, CTOs, IT leaders, digital transformation executives, and consultants. The program delivered comprehensive insights into enterprise AI implementation methodologies, practical business use cases, YonClaw and AI Agent development.

活動采用“理論講解 + 案例分析 + 實操演練”相結(jié)合的形式，幫助企業(yè)從業(yè)務(wù)需求出發(fā)，深入理解AI技術(shù)的應(yīng)用價值，并通過現(xiàn)場實操體驗AI智能體的搭建過程，真正實現(xiàn)從概念認知到場景落地的跨越。

Combining theoretical learning, case studies, and hands-on practice, the bootcamp helped participants gain a deeper understanding of the value of AI from a business perspective. Through interactive demonstrations and practical exercises, attendees experienced the process of building AI Agents firsthand, enabling them to bridge the gap between conceptual understanding and real-world business application.

活動期間，用友客戶成功運營經(jīng)理曹璐圍繞企業(yè)AI落地方法論進行了專題分享，深入解析了 HERO AI運營模型（Holistic Leadership、Evolution Revolution、Rapid Application Innovation、Outcome Amplification） 的核心理念。通過對企業(yè)戰(zhàn)略規(guī)劃、組織變革、應(yīng)用創(chuàng)新以及成果放大的系統(tǒng)講解，幫助企業(yè)建立更加清晰的AI落地路徑，為企業(yè)邁向“AI原生企業(yè)”提供方法論指導。

During the event, Cao Lu, Customer Success Operations Manager at Yonyou, delivered a dedicated session on enterprise AI implementation methodology, providing an in-depth analysis of the core concepts of the HERO AI Operating Model (Holistic Leadership, Evolution Revolution, Rapid Application Innovation, and Outcome Amplification). Through a systematic explanation of corporate strategic planning, organizational transformation, application innovation, and outcome amplification, the session helped enterprises establish a clearer roadmap for AI implementation and provided methodological guidance for their journey toward becoming During the event, Cao Lu, Customer Success Operations Manager at Yonyou, delivered a dedicated session on enterprise AI implementation methodology, providing an in-depth analysis of the core concepts of the HERO AI Operating Model (Holistic Leadership, Evolution Revolution, Rapid Application Innovation, and Outcome Amplification). Through a systematic explanation of corporate strategic planning, organizational transformation, application innovation, and outcome amplification, the session helped enterprises establish a clearer roadmap for AI implementation and provided methodological guidance for their journey toward becoming AI-native enterprises.

曹璐表示，企業(yè)推進AI建設(shè)不僅僅是技術(shù)升級，更是組織能力和業(yè)務(wù)模式的全面升級。只有將AI與企業(yè)戰(zhàn)略、業(yè)務(wù)場景及組織機制深度融合，才能真正釋放AI價值，實現(xiàn)持續(xù)創(chuàng)新與增長。

Cao Lu emphasized that enterprise AI adoption is not merely a technological upgrade, but a comprehensive transformation of organizational capabilities and business models. Only by deeply integrating AI with corporate strategy, business scenarios, and organizational mechanisms can enterprises truly unlock the value of AI and achieve sustainable innovation and growth.

用友機構(gòu)數(shù)據(jù)與智能業(yè)務(wù)總監(jiān)莊懷軒結(jié)合企業(yè)實際需求，圍繞AI技術(shù)發(fā)展趨勢、大模型應(yīng)用以及智能體實踐進行了深入分享，并帶領(lǐng)學員現(xiàn)場體驗AI智能體搭建過程。

Zhuang Huaixuan, Director of Data & Intelligence Business at Yonyou, delivered an in-depth presentation based on real business needs, focusing on AI technology trends, large language model applications, and AI Agent practices. He also guided participants through the process of building AI Agents on-site.

在實操環(huán)節(jié)中，參會學員通過YonClaw，現(xiàn)場體驗AI智能體的快速構(gòu)建與應(yīng)用部署，深入了解企業(yè)AI應(yīng)用從設(shè)計、開發(fā)到落地的完整流程。圍繞企業(yè)真實業(yè)務(wù)需求，本次訓練營重點開展了兩個典型場景的智能體搭建與演練，包括：

During the hands-on session, participants used YonClaw to experience the rapid development and deployment of AI Agents firsthand, gaining a deeper understanding of the complete enterprise AI application lifecycle—from design and development to implementation. Centered on real business requirements, the bootcamp focused on AI Agent development and practical exercises across two typical business scenarios, including:

01 銷售訂單分析場景

借助AI對銷售訂單數(shù)據(jù)進行自動匯總與分析，快速識別銷售趨勢與客戶需求，并助力企業(yè)制定更具前瞻性的營銷策略。同時，系統(tǒng)能夠精準捕捉銷售、客戶及地域（Region）層面的業(yè)務(wù)異常情況，為企業(yè)銷售管理與經(jīng)營決策提供更加及時、全面的數(shù)據(jù)支撐。

01 Sales Order Analysis Scenario

Leveraging AI to automatically consolidate and analyze sales order data, this scenario enables businesses to quickly identify sales trends and customer demands while supporting the development of more forward-looking marketing strategies. At the same time, the system can accurately detect business anomalies across sales, customer, and regional dimensions, providing more timely and comprehensive data support for sales management and business decision-making.

02 銷售合同創(chuàng)建場景

銷售訂單生成合同場景支持通過 YonClaw 直接使用自然語言，基于企業(yè)標準合同模板與業(yè)務(wù)規(guī)則快速生成銷售合同內(nèi)容。這不僅能協(xié)助企業(yè)大幅提升合同起草效率、降低人工重復工作量，還能顯著提高合同管理的規(guī)范性與準確性。

02 Sales Contract Creation Scenario

The Sales Order-to-Contract scenario allows users to directly utilize natural language through YonClaw to rapidly generate sales contract content based on standard contract templates and predefined business rules. This not only helps enterprises significantly improve contract drafting efficiency and reduce repetitive manual work, but also enhances the standardization and accuracy of contract management.

通過現(xiàn)場實操與案例演示，學員們親身體驗了AI技術(shù)與企業(yè)業(yè)務(wù)場景深度融合的全過程，進一步理解了AI智能體在提升運營效率、優(yōu)化業(yè)務(wù)流程和推動企業(yè)創(chuàng)新中的實際價值。

Through live hands-on practice and case demonstrations, participants experienced firsthand the full process of integrating AI technology with enterprise business scenarios, gaining a deeper understanding of the practical value of AI Agents in improving operational efficiency, optimizing business processes, and driving enterprise innovation.

在實操環(huán)節(jié)中，除了講師團隊的現(xiàn)場指導外，用友印尼助教也全程參與支持，協(xié)助學員完成智能體搭建、場景配置及問題排查。通過講解、實操及輔導相結(jié)合的教學模式，幫助學員更高效地掌握AI智能體搭建方法，深入理解AI應(yīng)用從設(shè)計、開發(fā)到落地的完整流程，并將所學內(nèi)容與自身業(yè)務(wù)場景相結(jié)合。

During the hands-on session, in addition to guidance from the trainers, Yonyou Indonesia’s teaching assistants provided on-site support throughout the event, helping participants with AI Agent development, scenario configuration, and troubleshooting. Through a learning approach that combined presentations, hands-on practice, and personalized guidance, participants were able to more effectively master AI Agent development techniques, gain a deeper understanding of the end-to-end AI implementation process, from design and development to deployment, and connect what they learned to their own business scenarios.