Workflow
领航AI Agent浪潮,天润云携各行业精英共襄游轮之夜

Core Insights - The event "Sailing Towards AI with Change Makers" hosted by Tianrun Rongtong highlighted the transformative power of AI in various industries, emphasizing the shift towards AI-driven organizational restructuring and growth [1][12] - AI Agents are becoming the core force driving future organizational changes, transitioning from a human-led to an AI-led operational model [5][12] AI Transformation Framework - Tianrun Rongtong outlined a six-step framework for AI transformation: 1. Customer-centric digital connections to form a closed loop 2. Preparation of exclusive knowledge 3. Identification and cultivation of super contributors who understand both business and AI 4. Gradual optimization and restructuring of organizational processes 5. Prioritization of scenarios that can be closed-loop solved 6. Continuous operational optimization focused on results [5][7] AI Agent Capabilities - AI Agents possess multi-modal recognition, knowledge retrieval, content generation, information collection, API/MCP interaction, and deep reasoning capabilities, aimed at independently solving problems across various key scenarios [7][10] - In product troubleshooting, AI Agents can guide users remotely to resolve issues, significantly reducing on-site service costs [7] - In sales recommendation, AI Agents can accurately identify customer intent and generate personalized recommendations, enhancing conversion efficiency across industries like automotive and finance [7][10] Automotive Industry Applications - The application of large model technology in the automotive sector has shifted from a "technical hype" phase to a "rational landing" phase, focusing on integrating capabilities with specific business scenarios [8][10] - Tianrun Rongtong has developed a comprehensive solution covering the entire customer lifecycle in the automotive industry, enhancing lead response efficiency and optimizing customer communication experiences [10] Future Directions - Tianrun Rongtong aims to deepen AI application scenarios, co-create AI capabilities with clients, and evolve AI Agents from tools to partners, driving organizational efficiency transformation [12][13]