Core Insights - The article highlights the launch of a new financial model solution by Huoshan Engine, focusing on enhancing customer service and internal efficiency for financial institutions through AI-native applications and digital employees [1] - The financial sector is identified as a leading area for the large-scale application of AI models, with Huoshan Engine's collaboration with financial institutions accelerating since the release of the Doubao model in May 2024 [1] - Huoshan Engine's AI solutions have already reached 70% of systemically important banks and numerous brokerage and fund companies, emphasizing the importance of customer service and internal efficiency in the financial industry [1] Financial AI App - The AI App serves as a mobile platform that utilizes AI models to provide intelligent investment advice, trading, services, and information interactions, already implemented in several brokerage firms [3] - The app aims to transform the user experience of financial applications [3] Capability Framework of AI App - The AI App solution is structured into three layers: - The intelligent interaction layer includes financial clients and Doubao App, featuring expert intelligent agents like market assistants [4] - The middle platform capability layer integrates intelligent control, data-knowledge-intelligence analysis, and model evaluation to ensure the iterative development of AI applications [4] - The infrastructure layer is built on the Doubao model, AI cloud-native security, and computing power management [4] - The Huoshan Engine Data Agent has effectively created investment advisory intelligent agents for multiple enterprises, enabling users to access multi-dimensional market analysis and real-time tracking of trends and fund movements [4] Digital Employees - The digital employee solution encompasses six key scenarios, creating an inclusive AI tool matrix: - Business assistants automate the entire due diligence cycle, shifting from experience reliance to AI-driven processes [5] Intelligent Customer Service and Risk Control - Intelligent customer service integrates ticket extraction, AI Q&A, and quality inspection to enhance service efficiency and compliance [6] - Intelligent risk control replaces traditional OCR with VLM to automatically extract multi-modal risk factors, upgrading risk insight models [6] Collaborative Ecosystem - The article discusses the importance of ecosystem collaboration for the large-scale implementation of AI-native applications, with Huoshan Engine signing partnerships with ten financial technology pioneers to co-create a new financial intelligence ecosystem [8] - The collaboration aims to drive innovation and accelerate the financial industry's transition towards intelligence [8]