Core Insights - The company is transitioning to three types of roles: H for human, R for robot, and A for intelligent agents, indicating a significant shift in workforce structure towards AI integration [1][11] - The deployment of AI has achieved a three-tier leap: from a technical tool to organizational transformation, from internal application to external output, and from efficiency enhancement to value creation, demonstrating the effectiveness of the company's "embracing AI" strategy [3][11] AI Employee Deployment - The first batch of six AI employees has been officially recognized, covering various roles including project operation assistants, park operation assistants, and HR support, showcasing the diverse applications of AI within the organization [4][11] - The project operation AI assistant has been deployed in nearly 300 projects, actively scanning data every 15 minutes to identify anomalies and suggest improvements, thus enhancing operational efficiency [5] - The park operation AI assistant has improved the efficiency of park managers by over 50%, allowing them to focus on value creation rather than routine tasks [5] AI Applications and Innovations - The AI reimbursement system has streamlined the expense reporting process, reducing the time taken from 150 seconds to just 50 seconds per submission, with a 90% automation rate in backend auditing [8] - The AI station manager assistant simplifies operations for service station managers by integrating data analysis and reporting, enhancing overall project management [9] - The financial AI assistant supports various financial processes, including payment tracking and expense reporting, and is continuously learning to improve its service capabilities [10][12] Future Directions - The company aims to build capabilities around three key themes: assets, low carbon, and AI, with a focus on transforming from "managing people" to "managing tasks" through AI integration [11] - The company has applied for a patent related to a training dataset construction method based on large models and retrieval-augmented generation (RAG) technology, indicating a commitment to advancing its AI capabilities [11][12]