百望股份李国平：SaaS的智能体化转型，能否堪比云计算革命？丨SaaS+Agent十人谈

Core Viewpoint - The SaaS industry is undergoing a significant transformation driven by the rise of intelligent agents, which will fundamentally change human-computer interaction and business processes over the next 2 to 5 years [4][5][10]. Group 1: Transformation of SaaS - The shift from human-operated systems to a model where intelligent agents execute tasks based on human instructions is expected to redefine SaaS operations [10][11]. - Initially, the workload will be divided with humans handling 80% and intelligent agents assisting with 20%, gradually transitioning to a model where agents manage 80-90% of the workload [5][11]. - The integration of intelligent agents into existing business processes will be a gradual process, particularly in regulated industries like finance and taxation, which may slow down the overall transformation [6][22]. Group 2: Role of Data - Data is identified as the core asset for SaaS companies, particularly in the financial and taxation sectors, where transaction-level data provides significant competitive advantages [7][27]. - Companies must focus on transforming their private data into high-value datasets to support specialized models and intelligent agents [30]. - The strategic approach of companies like 百望 is to leverage data from electronic invoicing to build a moat around their intelligent capabilities [27][28]. Group 3: Challenges and Opportunities - The emergence of new AI-native companies poses a challenge to traditional SaaS firms, which must adapt to survive [26][31]. - Regulatory constraints in sectors like finance and state-owned enterprises hinder the rapid deployment of intelligent agents, necessitating a more flexible regulatory environment [8][26]. - The competitive landscape may lead to a decline in profit margins for SaaS and intelligent agent companies, but it could also democratize access to advanced technologies for users [16][18]. Group 4: Future of SaaS - SaaS is unlikely to disappear in the next five years but will evolve towards embedded and localized intelligent applications [14][20]. - The future may see a blend of traditional interfaces and intelligent agents, with some processes remaining manual due to regulatory requirements [14][22]. - The transition to intelligent agents will not only change operational models but also influence payment structures, potentially moving towards outcome-based pricing [13][30].