Core Viewpoint - The article discusses the challenges and transformations in the To B (business-to-business) sector, emphasizing the need for a new partnership model between service providers (乙方) and clients (甲方) that focuses on shared risks and benefits, rather than traditional transactional relationships [2][6][28]. Group 1: Traditional To B Challenges - The To B sector has been characterized by a "double loss" situation where clients demand high-quality services at low costs, leading to dissatisfaction on both sides [4][5]. - The traditional procurement logic of clients is based on a bidding mentality, which pressures service providers to deliver under tight budgets, resulting in a cycle of dissatisfaction and inefficiency [5][6]. - The industry faces dilemmas such as the conflict between standardization and customization, where service providers often compromise on product standardization to meet individual client needs, leading to inefficiencies [5][6]. Group 2: New Business Model - RaaS - The article introduces the concept of "Results as a Service" (RaaS), which aims to align the income of service providers with the quantifiable business value they create for clients [6][12]. - 百融云创 has initiated the RaaS model, transitioning from traditional software sales to a partnership approach where both parties share risks and rewards [6][12]. - The RaaS model includes innovative pricing strategies, such as charging based on the roles of digital employees (硅基员工) rather than traditional software sales, allowing for a more flexible and performance-based payment structure [12][13]. Group 3: Engineering and Technological Support - The "Results Cloud" platform is introduced as the technological backbone supporting the RaaS model, enabling efficient management and operation of digital employees [15][16]. - The platform integrates various AI capabilities and models to ensure that digital employees can deliver reliable and measurable outcomes [16][20]. - Key engineering capabilities include a unified connection protocol, high-precision document parsing, and a robust DevOps system to ensure the quality and continuous improvement of AI agents [19][21][22]. Group 4: Collaboration Between Human and Digital Employees - The article highlights the potential for collaboration between human employees (碳基员工) and digital employees, suggesting a model where both can coexist and complement each other rather than one replacing the other [24][25]. - The focus is on redefining workflows to optimize efficiency and quality around shared business outcomes, moving away from traditional cost-cutting negotiations [27][28]. - The ultimate goal is to create a new production relationship that allows for fair distribution of the benefits of technological advancements among creators, users, and enablers [29][30].