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The Times

UnionPay unveiled three proprietary AI technologies developed for the financial sector at the Shanghai exhibition area: financial transaction time-series foundation model, the Agentic Payment Open Protocol (APOP) framework, and a privacy-preserving large language model inference solution. As the AI era unfolds, the showcase highlights UnionPay's continued commitment to accelerating the adoption of digital and intelligent technologies.

On 18 July, UnionPay hosted the Release of Phased Achievements of the National Pilot Base for AI Application (Financial Sector) at the UnionPay Center alongside WAIC 2026. The event brought together more than 100 representatives from commercial banks, Chinese and international partners, leading technology companies, academia, and research institutions. During the event, UnionPay released its "1+6+N" AI achievements framework, announced a series of industry partnerships, and launched a joint initiative calling for greater collaboration on the development and governance of the financial industry. These achievements demonstrate the progress of the National AI Application Pilot Base in building an open innovation platform that accelerates AI adoption across the industry.

Dong Junfeng, Chairman of China UnionPay and UnionPay International, attended the event and delivered a keynote speech. He noted that AI is rapidly reshaping the financial industry. Since the National AI Application Pilot Base was launched in 2025, it has delivered a number of meaningful outcomes through close collaboration across the industry. Mr. Dong elaborated on the vision for the development of the base from through three dimensions: sharing, collaborative governance, and mutual benefits. First, by pooling computing resources, data and models on a centralized public platform, the base helps address industry challenges such as the high cost of computing resources and data silos. This lowers barriers to AI adoption across the financial sector. Second, the base has strengthened AI security by building robust safeguards for large language models and applying AI to enhance transaction risk management and cybersecurity. Such efforts are made to support a safer and more resilient financial ecosystem. Third, the base is accelerating the AI adoption across real-world use cases. It has incubated a range of commercial AI solutions spanning agentic payments, credit risk management, consumption promotion and merchant digital transformation, turning technological innovation into tangible business value. Looking ahead, the future of AI + Finance holds enormous potential. UnionPay looks forward to working with partners across industries to build an open, shared, and well-governed financial AI ecosystem that supports the development of new productive forces through technological innovation.

A highlight of the event was the official launch of UnionPay's "1+6+N" AI achievements framework.

The "1" represents a unified portal—the National AI Application Pilot Base. Built on a "One Portal, Six Centers" structure, it integrates six specialized centers covering models, datasets, applications, talent development, supply-demand matching, and financial services. Together, the platform currently hosts 11 models, 14 datasets, 59 demonstration applications, and 61 service offerings, bringing together 145 core resources in total.

The "6" refers to six independent and controllable capabilities, including computing resources scheduling through a trusted intelligent computing sharing platform, high-quality financial datasets, finance-specific foundation models, AI-powered financial security services, financial AI standards, and a pilot testing sandbox that supports model training and evaluation. Together, these six capabilities form the base's shared technology foundation, providing ecosystem partners with the core technical infrastructure.

The "N" represents a portfolio of benchmark use cases, standardized AI solutions, and demonstration applications built on this technology foundation. These applications span five key areas—intelligent payments, inclusive finance, consumption growth, risk management and compliance, and operational excellence—building a multi-tier product portfolio serving consumers, merchants, local governments and financial institutions. This accelerates the application of AI capabilities across diverse use cases.

Together, the "1+6+N" framework of the base connects computing power, data, models, and use cases and forms an end-to-end value chain. By addressing common industry challenges—including limited computing resources, data silos and the high cost of AI deployment—it delivers standardized and widely accessible AI capabilities, providing the financial industry with reusable, highly secure and one-stop AI solutions for intelligent transformation. This also reflects UnionPay's commitment not only to driving its own business growth, but also to enabling the industry through foundational capabilities and reinforcing financial infrastructure for the AI era.

These achievements have already been made available to industry partners and are beginning to create value. For banks, acquirers and other financial institutions, UnionPay's shared infrastructure enables rapid access to mature financial AI capabilities without the need to build systems from scratch, significantly reducing both technical barriers and implementation costs. For merchants, UnionPay offers AI-powered marketing, digital analytics and intelligent risk management tools to support smarter operations, improve customer engagement and enhance operational efficiency, enabling even small and medium-sized businesses to benefit from AI innovation. For technology companies and other ecosystem partners, the base enables partners to rapidly adapt AI products for financial applications and complete compliance validation, accelerating the commercialization of technological innovations.

The event also featured six rounds of partnership signing ceremonies, covering areas including AI-themed card, cross-border agentic payment ecosystem development, AI-powered operational empowerment for merchants, joint commercialization of pilot base innovations, and broader ecosystem collaboration across the financial industry chain.

Following the signing ceremonies, UnionPay released the Initiative on the Collaborative Development and Governance of AI Applications in Financial Services, with representatives from participating organizations joining the stage to witness its launch. Building on the "1+6+N" framework, the initiative calls on industry stakeholders to collaborate in four areas: First, advancing trusted AI systems that serve the real economy by establishing governance mechanisms for traceable and explainable algorithms while safeguarding data privacy and security; Second, strengthening collaboration among industry, academia, research institutions and users, leveraging the base to jointly advance core technologies and develop independent and secure financial AI infrastructure; Third, promoting openness and inclusiveness by sharing mature AI models, testing services and implementation solutions to reduce the cost of intelligent transformation, particularly for SMEs; Fourth, improving lifecycle governance through tiered risk management, enhanced compliance standards and coordinated risk prevention. The initiative calls on all industry stakeholders to work together by jointly strengthening the foundation, unlocking greater value through shared capabilities, and reinforcing collaborative governance, with the goal of advancing the sound development of AI in the financial sector and driving digital finance through technological innovation.

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