独家对话奥哲CEO徐平俊：“AI+数据+低代码”成为构建AI原生企业最佳路径

Core Insights - The recent release of the State Council's opinion on implementing "AI+" actions indicates a shift from AI technology being a novelty to becoming practical and essential for businesses [3] - Companies' ability to apply AI technology will be a decisive factor in seizing future development opportunities, while AI technology providers face the challenge of transitioning from selling tools and services to selling outcomes [3][4] - The need for businesses to address challenges such as scenario selection, technology implementation, and ROI measurement will be critical for the commercialization and scalability of enterprise AI applications [3][4] Company Overview - Aozhe, founded during the late information age, initially focused on BPM to help businesses optimize processes and improve operational efficiency [4] - In the digital age, Aozhe shifted towards low-code platforms to enable businesses to respond quickly to market changes, achieving recognition as a leading low-code software vendor [4] - Aozhe's founder, Xu Pingjun, emphasized that understanding business needs is the core value of digital services, a capability that large models currently cannot replace [4][6] Strategic Developments - On October 17, Aozhe announced a strategic upgrade and launched an enterprise-level AI platform, proposing a closed-loop model of "AI + Data + Low-Code" [4][19] - This new strategy aims to address the challenges of integrating single-point capabilities and closing business logic loops in enterprise AI applications [4][19] Industry Insights - Xu Pingjun believes that AI technology will expand market growth by solving past challenges and creating new scenarios, while also enhancing the ability to meet personalized business needs [6][15] - The software industry is shifting towards value delivery and outcome delivery, with a consensus that AI should directly deliver results [15][18] Platform Features - Aozhe's enterprise-level AI platform is designed to facilitate the transition from digitalization to intelligentization, leveraging AI's native development capabilities [19][21] - The platform consists of three layers: AI model integration, a closed-loop business engine, and native AI application development across various industries [21][24] - Aozhe's platform aims to provide a seamless integration of AI, data, and low-code capabilities, allowing businesses to achieve better results at lower costs [27][28] Market Positioning - Aozhe's enterprise-level AI platform is positioned as a core product, with a focus on delivering personalized solutions and integrating various AI capabilities [26][27] - The platform differentiates itself by achieving business closure, supporting high levels of customization, and simplifying the use of AI through model selection and adaptation [27][28] Future Directions - Aozhe aims to become a leader in the enterprise-level AI platform market, building on its previous successes in BPM and low-code [46][47] - The company plans to help businesses transition from digitalization to intelligentization, ultimately enabling them to become AI-native enterprises [47]