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Milken Asia Summit | From Model Competition to Value Realization: Bairong Inc. Explains its "Result-Based" path to Intelligent Agents

At the recent 12th Milken Institute Asia Summit during the "AI-Driven Industrial Transformation" forum, Zhang Shaofeng, CEO of Bairong, emphasized that the true value of AI is not measured by the scale of parameters, but by its measurable business impact. The key is to transform large models into commercially viable, executable, and assessable position-based agents – so called "silicon-based employees". By enabling large-scale deployment through platform-based capabilities, enterprises can directly link AI performance to their KPIs and tangible business outcomes.

Image provided by: Milken Institute

Zhang Shaofeng noted that as long as AI is treated merely as the icing on the cake, it will struggle to become part of enterprises daily operations, let alone be compared against core business metrics. "We measure and trade the value of AI in terms of outcomes, making AI a new measurable and billable unit of productivity for businesses." With this vision, Bairong Yunchuang has shifted enterprise software from the old logic of "selling tools, delivering and ending" to a pay-for-results model of value co-creation. In this framework, silicon-based employees - AI-driven agents – are evaluated through the same SLA/KPI assessments as human employees, directly bound to business results, and share in the value they help create.

Image provided by: Milken Institute

(From left: Nasdaq Vice Chairman Bob McCooey; Li Xiaojia, founder and chairman of Micro Connect and former CEO of the Hong Kong Stock Exchange; Perry Wong, Managing Director of Research at the Milken Institute; Yeen Chong, Deputy Director of International Marketing and Communications, Milken Institute; Wang Dan, Director of Eurasia Group China; Ma Song, professor at Yale School of Management; Zhang Shaofeng, CEO of Bairong Inc.)

In terms of methodology, Bairong has established a systematic path of "foundation model as the engine – ‘Baigong’ agent construction platform as the production line - high ROI scenario as the starting point". The Baigong platform elevates agent development from isolated, one-off projects to assembly line mass output through modularization and engineering techniques such as prompt engineering, RAG, and agent orchestration, significantly reducing experimentation costs and lowering deployment barriers. Bairong’s silicon-based employees are now deployed across front, middle and back-office functions in the form of "replicable, auditable, and settleable" and operate in tandem with human employees/teams. By opening the base and tool chain, they jointly preserve industry know-how with ecosystem partners, connecting the two ends of supply and demand through results rather than prices.

At the implementation level, Bairong has developed reusable best practices across several high-potential sectors. In wealth management for example, a commercial bank has deployed a silicon-based employee team operating through multi-agent collaboration: the front office handles intention screening and invitation, the middle office manages risk alerts and product matching, and the back office oversees compliance review and process control. This end-to-end integration has broken down information silos, streamlined operations, and driven growth of over 4,000 new long-tail users. In legal and compliance scenarios, silicon-based employees conduct contract reviews, risk alerts, and text revisions, reducing the average processing time from tens of minutes to just a few minutes, reducing completion time by 93%, significantly releasing both manpower and timeliness dividends.

Third-party research predicts that the AI Agents market will grow at a compound growth rate of about 46% from 2024 to 2030, and is expected to exceed $50 billion by 2030.

During this year's Milken Asia Summit, Bairong attracted widespread attention from participating institutions for its AI-native technical capabilities and results-based business model. Industry observers at the event noted that Bairong is regarded as “China's ServiceNow” in terms of product design and ecosystem development, focusing on embedding AI agents natively into enterprise-level workflows and SLAs. In terms of value delivery, Bairong Yunchuang directly drives business processes through AI agents and anchors its pricing model around measurable results. This results-centered approach is widely considered as a key pathway for enterprises to transform AI technology into tangible business results in the new AI era.

Zhang Shaofeng stated that Bairong will collaborate with ecological partners to build a results-driven win-win model, advancing the industrialization, scalability and standardization of silicon-based employees. The goal, he emphasized is to move AI from "demonstration" to "accounting", embedding it into the daily operations and growth flywheel of enterprises in a stable, replicable, and value-creating manner.

The Milken Institute Asia Summit is the flagship event of the world-renowned think tank in Asia, with world-class policymakers, sovereign capital, and leading corporate leaders (such as Ray Dalio, Tony Blair, Elon Musk, Jensen Huang, etc.), highlighting its cross-border influence and ability to connect capital. The 2025 summit brought together 1,200+ global leaders and experts in Singapore, covering 43 countries, making it an important window for international dialogue and long-term capital connections.

(This picture is a schematic composite image: the characters come from news images of different activities/different years under the Milken Institute, and are not taken on the same occasion and do not constitute any association/cooperation/endorsement; The relevant names, images and trademarks are owned by the rights holders. )

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SOURCE Bairong Inc.