Core Viewpoint - Ant Group's Ant Financial Technology announced a new "pay-for-performance" business model at the 2025 Inclusion Bund Forum, allowing enterprise clients to pay based on the actual results of large model applications, such as business growth or cost savings, rather than traditional project-based or subscription models [1][4]. Group 1 - The "pay-for-performance" model is expected to significantly lower the barriers and risks for enterprises applying large models, particularly benefiting small and medium-sized enterprises in accessing AI capabilities [4]. - Ant Financial Technology has already established partnerships with several strategic clients based on key business outcomes and plans to gradually promote this model across the industry [1][4]. Group 2 - Ant Financial Technology has developed a three-step methodology called "ACE" (Align-Construct-Evaluate) for implementing large models in industries: first, value positioning with clients to identify measurable business goals; second, constructing a comprehensive solution and implementation path based on those goals; third, ensuring business results through continuous joint operations [5].

Core Insights - The introduction of a new "pay-for-performance" business model by Ant Group's Ant Financial, allowing enterprise clients to pay based on the actual results achieved from AI model applications, rather than traditional project-based or subscription models [1] - The shift from AI as a standalone technology tool to an accelerator of business outcomes, emphasizing the need for enterprise-level AI services to focus on measurable results [1] - The "pay-for-performance" model aims to lower the barriers and risks associated with large-scale AI adoption, particularly benefiting small and medium-sized enterprises by reducing upfront costs and infrastructure investments [1] Summary by Sections Business Model Transformation - Ant Financial announced a new business model that supports clients in paying based on the effectiveness of AI applications, marking a significant shift in the enterprise service market [1] - The model is designed to facilitate easier access to AI capabilities for businesses, especially in sectors like finance, energy, and retail [1] Challenges in AI Adoption - High initial costs, uncertain returns, and lack of implementation pathways are identified as major challenges for enterprises in scaling AI applications [1] - The new model is expected to mitigate these challenges by allowing businesses to invest in AI based on visible outcomes [1] Methodology for AI Implementation - Ant Financial has developed a three-step methodology called "ACE" (Align-Construct-Evaluate) for implementing large-scale AI solutions [2] - The first step involves value positioning with clients to identify measurable business goals, followed by constructing a comprehensive solution and implementation path, and finally ensuring business outcomes through continuous joint operations [2]