中文
 

Follow us 

Hot Topic
Market News
Events & Promo
Career Tips
Education News
Health & Life
Yiren Digital Upgrades Enterprise AI Across Core Business Functions
PRNewswire

Yiren Digital Upgrades Enterprise AI Across Core Business Functions

Publish date: 18 Aug 2026

Follow us

Stay updated on the job market

Popular Articles

惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾
【另類面試】共晉早餐看透求職者性格!拆解CEO「落錯單」逆境測試法
【另類面試】共晉早餐看透求職者性格!拆解CEO「落錯單」逆境測試法
【打工仔放假指南】請2放5玩到盡!精選5個亞洲短途渡假勝地:人均平機票即飛慢活充電
【打工仔放假指南】請2放5玩到盡!精選5個亞洲短途渡假勝地:人均平機票即飛慢活充電

Shared enterprise AI operating model accelerates deployment, strengthens operating leverage and supports scalable expansion across businesses

BEIJING, Aug. 18, 2026 /PRNewswire/ -- Yiren Digital Ltd. (NYSE: YRD) ("Yiren Digital" or the "Company"), a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets, today announced continued progress in upgrading AI capabilities across core enterprise functions, establishing a shared operating model that enables AI capabilities developed within one business to be rapidly deployed across additional functions. This progress advances the Company's transition toward an AI-native, multi-industry operating platform.

Beyond developing AI independently for individual use cases, Yiren Digital has built a common enterprise AI framework that standardizes models, agents, workflows and governance. This approach fosters modularity, resource sharing and model reusability, shortening development cycles and creating a scalable operating model capable of supporting long-term expansion into additional AI-enabled verticals. As a result, AI capabilities developed for one business function can be adapted to additional businesses without rebuilding core models, workflows or governance, reducing implementation time while improving consistency across the organization.

Deploying technology into production across the Company's credit and insurance businesses has enabled Yiren Digital to develop, validate and standardize enterprise AI capabilities before expanding them across the broader organization. These deployments demonstrate how AI can evolve from solving isolated business problems to becoming an integrated enterprise capability.

"Our architecture prioritizes module and model reusability – every fraud detection model, validation framework, and decision layer is built as a composable component. This means our partners aren't adopting a rigid black box; they are gaining access to modular intelligence they can integrate, adapt and combine with their own systems," said Mr. Ning Tang, Chairman and Chief Executive Officer of Yiren Digital. "As the AI agent ecosystem matures, our fraud detection capabilities can be seamlessly integrated into autonomous workflows. Ultimately, we are building the technology for autonomous financial system."

Recent production deployments across customer operations, capital operations, marketing, risk management and asset recovery demonstrate that AI capabilities developed within one function can be successfully standardized and deployed across additional enterprise workflows. These deployments provide real-world validation of the Company's shared enterprise AI operating model.

Yiren Digital's enterprise AI architecture combines proprietary large language models, multi-agent infrastructure, workflow execution and centralized governance into a shared enterprise framework supporting customer operations, marketing, capital operations, risk management, compliance and research and development.

Key components include the Zhiyu and Yizhi large language models, the MagiCube 2.0 multi-agent platform, the XuanJi workflow execution engine and the ZhiNao orchestration layer. Together, these technologies provide standardized AI capabilities that can be deployed consistently across multiple business functions while maintaining governance and operational control.

Credit and insurance have served as Yiren Digital's initial production environments for developing enterprise AI capabilities. As these capabilities become standardized, the Company expects future AI deployments to require less incremental development while benefiting from shared governance, workflows and operating knowledge.

Yiren Digital plans to continue expanding enterprise AI across its existing businesses while selectively extending standardized capabilities into additional AI application-layer opportunities. By establishing a repeatable enterprise AI operating model, the Company is creating a scalable foundation that supports faster innovation, stronger operating leverage and long-term multi-industry growth.

About Yiren Digital

Yiren Digital Ltd. is a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets. The Company leverages advanced artificial intelligence and emerging technologies to enhance customer experience, optimize capital efficiency, and expand financial inclusion. Following the regulatory filing of its in-house developed Large Language Model Zhiyu, and the significant enhancement of its MagiCube Agent platform, Yiren Digital is establishing a new growth engine to accelerate its evolution into an AI-native, multi-industry operating platform extending beyond traditional financial services. For more information, please visit https://ir.yiren.com.

Safe Harbor Statement

This press release contains forward-looking statements. These statements are made under the "safe harbor" provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "aim," "anticipate," "believe," "estimate," "expect," "hope," "going forward," "intend," "ought to," "plan," "project," "potential," "seek," "may," "might," "can," "could," "will," "would," "shall," "should," "is likely to" and the negative form of these words and other similar expressions. This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," "target," "confident," and similar expressions. Forward-looking statements are based on management's current expectations, assumptions, and assessments of current market and operating conditions. These statements involve inherent risks, uncertainties, and other factors, many of which are outside the control of the Company, and which could cause actual results to differ materially from those expressed or implied in such statements. Actual results may differ materially from those expressed or implied in forward-looking statements due to a variety of factors and other risks described in the Company's filings with the U.S. Securities and Exchange Commission. All forward-looking statements speak only as of the date of this press release. The Company undertakes no, and expressly disclaims any, obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required under applicable law.

Follow us

Stay updated on the job market

Popular Articles

惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾
【另類面試】共晉早餐看透求職者性格!拆解CEO「落錯單」逆境測試法
【另類面試】共晉早餐看透求職者性格!拆解CEO「落錯單」逆境測試法
【打工仔放假指南】請2放5玩到盡!精選5個亞洲短途渡假勝地:人均平機票即飛慢活充電
【打工仔放假指南】請2放5玩到盡!精選5個亞洲短途渡假勝地:人均平機票即飛慢活充電

Hottest Tags

#減少廚餘
#餐飲業
#識煮惜食
#咪嘥嘢食店
#可持續性
#可持續發展
#香港綠色餐飲業
#見工面試技巧
#面試最大缺點
#離職原因點答
#見工陷阱問題
#HR面試題目

Contact Us
Notice
Back to Top
We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website. Read and Agreed