On August 28, a themed salon, "AI Empowerment, Smarter Future," was successfully held at the Beyondsoft Tower. The event was guided by the Beijing General Artificial Intelligence Industry Innovation Partnership Plan and co-hosted by the Beijing Information Technology Association, the Zhongguancun FinTech Development Alliance, and the Beijing Digital Economy Enterprise Global Innovation Service Base, with Beyondsoft serving as the organizer.

Corporate representatives, industry experts, and partners from fields including artificial intelligence, large models, enterprise services, the digital economy, and embodied intelligence gathered to engage in in-depth discussions on hot topics such as AI industry development, the Token economy, enterprise intelligence, and the commercialization of AI.

AI moving toward large-scale implementation and commercialization emerges as a new industry proposition

Currently, large models and AI agent technologies are accelerating their penetration into physical industries such as finance and manufacturing. As a crucial metering and operational mechanism connecting model inference, computing power consumption, and AI service value, the Token economy is becoming a new area of industry focus. However, enterprises face challenges on two fronts. On one hand, AI applications are not closely integrated with business operations, and there are difficulties in knowledge accumulation and governance system construction. On the other hand, the Token economy remains in its early exploration phase, with standards systems, cost management, data asset circulation, and business models still requiring further refinement. How to truly integrate AI into business processes and explore sustainable commercialization paths became the core topic of this salon.

Wang Wei, a representative of the Beijing Municipal Bureau of Economy and Information Technology's AI Partner Plan Working Group and Deputy Secretary-General of the Beijing Information Technology Association, noted that the Beijing General AI Industry Innovation Partnership Plan currently has over 300 member units, continuously carrying out industrial services across five major segments: computing power, data, models, applications, and investment. He pointed out that with the rapid growth in inference computing power demand and the accelerating adoption of open-source models in production environments, the AI industry is shifting from an early phase of scale expansion toward a development stage that places greater emphasis on technological capability and value creation.

From the Token economy to AI implementation: Beyondsoft shares observations on industry evolution

Regarding AI industry development trends, Su Tong, Dean of the Beyondsoft Innovation Research Institute, delivered a presentation titled "AI Industry Evolution Trends and Implementation Paths 鈥?The Token Economy." Su Tong noted that alongside the evolution of AI technology and industrial applications, Tokens have developed from a technical concept in natural language processing into a metering unit for model calls, and have become an important value carrier connecting computing power, models, and application services. Behind this shift lies several key developments: the evolution of AI technology toward agent collaboration, the deepening of enterprise applications from content generation to task automation, the convergence of software engineering toward a "code + data + model" fusion, and the transition of AI applications from POC validation to large-scale implementation.

Su Tong emphasized that the key to measuring Token value lies not in "how much does one million Tokens cost," but rather in "how many problems one million Tokens solves and how much value it creates for the enterprise."

Multi-dimensional perspectives explore AI implementation: focusing on enterprise productivity transformation

During the enterprise sharing session, representatives from Jiuzhang Yunji, Zhongqi Digital Science, UCloud, Rogge Technology, and Zhixing Embodied Intelligence shared their practices on topics such as AI factory computing power and Token production, the evolution of AI from personal assistant to enterprise engine, token factory infrastructure, the FDE model and Harness engineering systems, and the HOPT human-machine operation intelligence migration paradigm.

At the meeting, Jiang Shizhe, Delivery Manager for Beyondsoft's US business, delivered a presentation titled "Beyondsoft Digital Employee System 鈥?AI Leading Productivity Transformation," highlighting the practical applications of the digital employee system. This system, built on the core concept of "AI-driven + human collaboration," embeds AI capabilities into specific enterprise workflows through a multi-agent architecture and MCP tool integration. It has already been deployed in scenarios such as testing, supply chain operations, and data governance. Notably, the testing digital employee has been integrated into more than 10 projects, resulting in a 40% productivity improvement; the supply chain operations IDE has reduced PO creation time by 90%; and the data AI assistant has compressed review time by 47%.

Beyondsoft: engineering delivery plus platform capabilities build the foundation for enterprise-grade AI

For AI to truly enter the core business of an enterprise, what is needed is not just models and tools, but also engineering capabilities that connect technology, business, and organization. As the organizer of this event, Beyondsoft Corporation leverages over thirty years of digital service experience to continuously build an AI service system covering "strategic consulting, technology platforms, scenario applications, and ongoing operations."

In terms of delivery models, Beyondsoft continues to explore the FDE (Forward Deployed Engineer) model, deploying industry experts and technical teams directly into customer business sites. Guided by real business problems, they carry out scenario identification, solution validation, engineering implementation, and continuous optimization, driving AI applications from concept validation toward full business integration. At the same time, the company continuously distills technical solutions, process expertise, and industry knowledge from project practices into reusable AI capability assets, enhancing the ability to scale AI applications.

At the platform level, Beyondsoft has independently developed the "Bowei AI Agent Platform," which uses Harness Engineering as its core foundation. The platform constructs a four-tier hierarchical agent system, supports architectures including single agents, static workflows, and dynamic multi-agent collaboration, and integrates capabilities such as memory systems, tool scheduling, compliance management, and closed-loop iteration. This provides platform support for the construction, governance, and operation of enterprise agent applications. The platform has been selected as a typical case in the "AI+" innovative application category at the 2026 World Artificial Intelligence Conference in the Pudong New Area, recognized as an outstanding case in software development at TiD 2026, and has completed software copyright registration.

At the application level, Beyondsoft continues to promote the integration of AI with industry scenarios in finance, energy, chemicals, and manufacturing. Focusing on digital employees, AI agents, and industry applications, the company is exploring large-scale implementation, gradually forming an enterprise-grade AI service system of "technological capability + industry understanding + engineering delivery + sustainable operations."

Joining forces to embark on a new journey of large-scale AI implementation

The successful hosting of this event built a bridge for participating companies to connect technology and resources, and further demonstrated Beyondsoft's responsibility and commitment in advancing the industrialization of AI. Looking ahead, Beyondsoft will be guided by real business scenarios, deepen its capabilities in AI engineering and large-scale implementation, and work hand-in-hand with industry partners to explore innovative integration of AI and the Token economy. The company aims to drive AI capabilities to truly enter business operations, integrate into processes, and create value 鈥?making AI genuinely usable and accelerating the journey toward intelligence across industries.