Core Viewpoint - The company is focusing on three main directions for AI implementation: integrated design, refined cost management, and precise construction control [1] Group 1: Integrated Design - The emphasis is on deep integration of AI with BIM to achieve high-quality design and valuable delivery [1] - Specific applications include the AI-native product Concetto for reconstructing design workflows and AI-assisted features in the multi-dimensional design product [1] - The goal is to enhance the efficiency and user experience of designers using software [1] Group 2: Refined Cost Management - The approach involves using AI and data to drive refined cost management throughout the project lifecycle [1] - Applications include AI industrial installation quantity estimation, which allows for multi-drawing quantity extraction with one click [1] - AI capabilities have expanded to include highway quantity estimation, significantly improving efficiency in bridge and tunnel quantity calculations [1] - AI pricing has been piloted, showing notable improvements in accuracy for civil engineering and installation cost estimates [1] Group 3: Precise Construction Control - The focus is on helping companies and projects save money and reduce stress [1] - This is divided into two levels: enterprise-level AI services using PMLead, which focuses on corporate governance and data management, providing knowledge Q&A services with a focus on private deployment and customized delivery [1] - Project-level AI control using PMSmart addresses issues like material waste and personnel efficiency, optimizing material management and construction plans through multi-dimensional data analysis to reduce project waste and delay risks [1]

Group 1: AI Business Strategy - The company has adopted an "ALL IN AI" strategy since 2023, prioritizing cost management, followed by construction and design enhancements based on knowledge attributes and feasibility [1] - AI applications in cost management have already been piloted in industrial parks and highway infrastructure, yielding positive results [2] Group 2: Core AI Application Areas - The main AI application directions include integrated design, refined cost management, and precise construction management [3] - In integrated design, the focus is on deep integration of AI with BIM to enhance design quality and delivery value, utilizing products like Concetto and AI-assisted tools in design software [3] - Refined cost management leverages AI and data for comprehensive cost control, with applications such as AI-driven quantity takeoff for industrial installations and highway projects [3] - Precise construction management aims to reduce costs and improve efficiency through enterprise-level AI services and project-level AI control, addressing material waste and personnel efficiency [3] Group 3: Revenue Model and Impact - The company employs a dual revenue model: enhancing existing services with AI while charging separately for new AI-native products, ensuring no disruption to the existing annual fee structure [4] - AI enhancements aim to increase product value and customer retention, thereby improving renewal rates and conversion efficiency for new purchases [4] Group 4: Advantages of Specialized AI Models - The company's construction engineering model integrates multimodal data, ensuring compliance with national standards and operational capabilities through API integration with existing software [5] - This specialized model differs fundamentally from general-purpose models by requiring spatial understanding, adherence to physical rules, and compliance with engineering standards [5] Group 5: Future AI Development Plans - The industry is transitioning from initial AI implementations to developing knowledge-driven intelligent agents for accurate end-to-end delivery [6] - The company does not anticipate a significant increase in R&D expenses due to AI investments, leveraging existing resources through specialized departments for AI development [7]