用友网络科技

本次训练营以 “Executing AI in Business: Enterprise AI Training” 为主题，面向企业 CIO、CTO、IT负责人、数智化转型负责人以及企业顾问团队，围绕企业AI落地方法论、场景实践、YonClaw使用以及智能体（AI Agent）构建展开系统分享。

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.

活动采用“理论讲解 + 案例分析 + 实操演练”相结合的形式，帮助企业从业务需求出发，深入理解AI技术的应用价值，并通过现场实操体验AI智能体的搭建过程，真正实现从概念认知到场景落地的跨越。

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.

活动期间，用友客户成功运营经理曹璐围绕企业AI落地方法论进行了专题分享，深入解析了 HERO AI运营模型（Holistic Leadership、Evolution Revolution、Rapid Application Innovation、Outcome Amplification） 的核心理念。通过对企业战略规划、组织变革、应用创新以及成果放大的系统讲解，帮助企业建立更加清晰的AI落地路径，为企业迈向“AI原生企业”提供方法论指导。

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.

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.

用友机构数据与智能业务总监庄怀轩结合企业实际需求，围绕AI技术发展趋势、大模型应用以及智能体实践进行了深入分享，并带领学员现场体验AI智能体搭建过程。

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.

在实操环节中，参会学员通过YonClaw，现场体验AI智能体的快速构建与应用部署，深入了解企业AI应用从设计、开发到落地的完整流程。围绕企业真实业务需求，本次训练营重点开展了两个典型场景的智能体搭建与演练，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 销售量签单分折画面

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 销售业务借款合同使用消费场景

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.

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.

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.