Yiren Digital Advances Transition to AI-Native, Multi-Industry Operating Model with Enterprise AI Architecture Rollout
This evolution from AI-assisted operations to agent-driven execution is enabled by
Under its All-in-AI strategy, the Company is advancing its transition from a technology-enabled financial services platform toward an AI-native, multi-industry operating company. The strategy builds on over 5 years of the Company's purpose-built AI infrastructure and R&D investments, demonstrated operating impact across the Company's credit and insurance businesses, and an AI-executed internet insurance line that has emerged as a second growth engine.
"For years, we have been a fintech company that uses AI to do credit and insurance better," said Mr. Ning Tang, Chairman and Chief Executive Officer of
From AI-Assisted Tools to AI-Driven Execution
Following the 2025 launch of its proprietary multi-agent platform, MagiCube, the Company's 2026 rollout of MagiCube
-
Zhiyu - the Company's proprietary large language model (LLM), received regulatory filing approval in
April 2025 and serves as the foundational intelligence layer. -
MagiCube - the Company's multi-agent integration platform, launched in
October 2025 as the connective infrastructure for large-scale agent deployment across sales, risk, capital, compliance, and customer service. - MagiCube 2.0 - introduced in 2026, restructures the platform around two specialized layers: XuanJi, for human-and-organization workflow execution, and ZhiNao, the enterprise-wide AgentOS for LLM coordination and multi-agent orchestration.
XuanJi: AI-Driven Execution for Labor-Intensive Workflows
XuanJi is the Company's AI-driven workflow execution layer, delivering business outcomes directly across high-volume, repetitive processes including outbound customer service, telesales, insurance proposal generation, lending operations, and post-sale engagement. By moving these functions from human-assisted tasks to agent-delivered results, XuanJi structurally improves cost-to-serve, response speed, and consistency.
ZhiNao: The Enterprise AgentOS
ZhiNao is the Company's centralized orchestration and governance layer, an AgentOS that coordinates LLMs and agents, routes workflows, manages permissions, integrates enterprise knowledge, and enforces AI governance across the organization. ZhiNao serves as the single coordination hub for every agent the Company deploys, internal or third-party, and scales agent-driven operations across knowledge-intensive functions such as advisory services, strategic analysis, and management decision support.
Workspace AI and AI Buddy: A Platform for Human-Agent Collaboration
Workspace AI is the Company's enterprise-wide operating platform connecting employees, AI agents, knowledge systems, and intelligent workflows in a unified execution environment. Its employee-facing interface, AI Buddy, provides every colleague with a personalized co-pilot routed through ZhiNao, a single interface giving frontline staff and management direct access to enterprise data, agentic workflows, and approved third-party AI tools. All agent-driven workflows within the platform operate under a centralized governance framework, ensuring compliance, auditability and risk control across regulated business lines.
A Proven
Beyond operational efficiency, our AI infrastructure is a proven engine for rapid business scaling. By repurposing the core AI architecture engineered for our credit operations, our internet insurance distribution business achieved rapid, consecutive-quarter premium growth, becoming an increasingly meaningful revenue contributor. This validates our strategic thesis: a portable AI stack, combined with a massive established user base, creates a structural advantage that drastically accelerates time-to-market. Capitalizing on this momentum, we are advancing an autonomous AI insurance agent assistant, currently in alpha-stage for internal testing. The platform is designed to automate standardized advisory tasks across the insurance customer journey. It will structurally lower customer acquisition costs while freeing up human agents' time to focus more on higher-value client relationship development activities.
Extending All-in-AI Beyond Financial Services: A Capital-Light Ecosystem for Structural AI Growth
According to IDC (
About
Safe Harbor Statement
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
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
Such risks and uncertainties include, but are not limited to, significant fluctuations in loan origination volumes, changes in credit performance and delinquency trends, variations in take rates and monetization efficiency, availability and cost of funding, and the Company's ability to achieve its anticipated financial results or previously issued guidance.
In addition, the Company operates in a highly regulated industry in
Such regulatory developments may include, but are not limited to, adjustments to risk retention and capital requirements, restrictions on pricing, interest rates, or service fees, enhanced consumer protection and compliance obligations, data privacy and cybersecurity requirements, and limitations on certain business models or partnership structures. These measures may materially impact the Company's ability to originate loans, maintain relationships with funding partners, price its services competitively, or sustain historical revenue and profitability levels.
Furthermore, the timing, scope, and enforcement intensity of regulatory changes in the PRC are often uncertain and may vary across regions and over time. Such uncertainty may result in increased compliance costs, operational constraints, and strategic adjustments, and may also affect funding partner behavior, borrower demand, and overall industry liquidity.
In addition, shifts in regulatory policy and market expectations may adversely affect investor sentiment and capital market conditions for the industry, potentially resulting in reduced loan facilitation volumes, increased volatility in financial performance, and pressure on margins.
Actual results may differ materially from those expressed or implied in forward-looking statements due to a variety of factors, including, but not limited to, unexpected changes in regulatory policies or enforcement practices, macroeconomic conditions, borrower credit behavior, funding partner participation, competitive dynamics, 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.
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