Group 1: AI Business Developments - The company has integrated AI capabilities across its entire business line, resulting in a rapid growth of AI-related orders and the establishment of a comprehensive enterprise-level AI service system in the financial sector [2][3]. - A new generation AI smartphone banking product has been launched, successfully implemented in a major state-owned bank [2]. - The company has collaborated with a provincial branch of a state-owned bank to develop an intelligent credit platform based on large models, enhancing processes such as intelligent document processing and risk control [2][3]. Group 2: Efficiency Improvements - The AI-driven credit operation solution has achieved significant improvements, including a 70% reduction in time, a 90% increase in quality, and a 500% boost in efficiency, addressing issues like long processes and high costs for banks [3]. - The integration of AI in financial institutions has led to the automation of document organization and financial metric calculations, enhancing overall operational efficiency [3]. Group 3: International Market Engagement - There is a strong demand for system upgrades among traditional overseas financial institutions, with a growing interest in AI technologies to enhance business operations [4]. - The company has made initial progress in its overseas strategy, attracting attention from global financial institutions, including winning a data platform project with a leading bank in London [4]. - In Indonesia, a partnership with a leading digital bank has resulted in rapid business growth, while in Hong Kong and Macau, multiple data implementation projects have been secured [4]. Group 4: Future Outlook and Risks - The investor relations activity covered the company's future development plans and performance expectations, emphasizing the importance of recognizing associated risks [4].