Core Viewpoint - The advent of AI is transforming the SaaS industry, particularly in financial management, with a shift towards performance-based payment models [1][2] Company Overview - HeSi was founded in 2014 and specializes in financial digitalization, having raised over 1.5 billion yuan in funding from notable investors [1] - The company has over 7,000 paying enterprise clients and has been deeply involved in the financial SaaS sector for over a decade [1] AI Impact on SaaS - AI is revolutionizing product capabilities and altering business models, moving from subscription-based to performance-based payment structures [1][2] - AI solutions can enhance efficiency and reduce costs by automating tasks such as expense approvals and document submissions [2] Challenges in AI Implementation - Many enterprises struggle with AI deployment due to issues like lack of contextual learning, rigid workflows, and detachment from daily operations [3][4] - A report indicates that 95% of companies have not seen measurable financial returns from their AI investments [3] Strategies for Effective AI Integration - Companies should focus on tasks that AI excels at and introduce AI in scalable scenarios, particularly in areas like expense management [4] - Establishing a sustainable Agent platform and fostering an AI-friendly organization are crucial for successful AI integration [4][5] Evolution of Expense Management - The financial management function is evolving from mere record-keeping to resource allocation and risk management, with expense management becoming a key area for cost reduction and efficiency [6] - Traditional expense management has been characterized by inefficiencies, leading to a disconnect between finance and business operations [6] AI Solutions Offered - HeSi's AI solutions include various agents designed to streamline processes, significantly improving approval times and reducing error rates [7] - For instance, the implementation of AI in a restaurant chain led to a 75% improvement in approval efficiency and a 62.5% reduction in labor costs [7] Concerns About AI Replacing Jobs - There are concerns regarding AI replacing human jobs; however, the view is that AI will take over low-value tasks, allowing finance professionals to focus on higher-value work [8]

【环球网科技报道 记者 李文瑶】9月12日，蚂蚁数科在外滩大会论坛上宣布，将推出按"效果付费"的新型商业模式。该模式支持企业客户根据大模型应用的 实际效果（如业务增长或成本节省）来付费，而非传统的项目制或订阅制模式。 随着大模型从技术层向场景层渗透，AI已经不再是单点技术工具，而正成为业务成果的加速器，"企业级AI服务的衡量标准，应从'为技术付费'向'为效果付 费'转变，一些以结果为重的产品，客户可以选择为可见的效果买单这种付费方式。"蚂蚁数科副总裁余滨表示，目前蚂蚁数科已经与部分战略级客户达成基 于关键业务效果的合作模式，将逐步向全行业推广。 据了解，高昂的前期成本、回报率的不确定性以及实施路径的缺失，是企业规模化应用AI的主要挑战。"按效付费"模式将显著降低企业应用大模型的门槛和 风险，结合蚂蚁数科的全栈企业级AI服务落地方案体系，企业无需投入高昂的基础设施成本，即可收获AI带来的业务价值，尤其将助力中小企业更轻松地 接入AI能力，加速大模型在金融、能源、零售等千行百业的规模化落地。 余滨表示，蚂蚁数科基于行业实践，已经形成大模型落地产业的"ACE"（Align-Construct-Evaluate）三步 ...