YXT’s Mayinglong Case Highlights Corporate Learning as an AI Productivity Use Case
As Salesforce approaches AI agents through CRM, ServiceNow through enterprise workflows, and Workday through HCM, Radnova, operated by YXT.com Group Holding Limited (NASDAQ: YXT), is taking a differentiated path. Rather than entering enterprise AI through core enterprise systems, YXT is focusing on enterprise knowledge, organizational training and employee enablement, applying AI to the accumulation of organizational experience, workforce development and business execution capabilities.
In the past, the value of corporate learning software was mainly reflected in course delivery, training management and learning data records. In the AI era, however, enterprise customers are changing how they evaluate software value. They are no longer focused only on whether employees have completed training, but increasingly on whether software can improve management behavior, enhance organizational collaboration and ultimately influence business execution outcomes.
In 2025, Mayinglong, a Chinese pharmaceutical company with a history of more than 440 years, partnered with YXT to launch an AI-Augmented Blended Learning project, or AABL. Compared with a conventional training program, what makes this case more noteworthy is that AI was introduced into areas closer to real enterprise operations, including management training, scenario simulation, behavioral feedback and capability assessment.
For large enterprises, leadership development has long faced a fundamental challenge: strong management experience is difficult to replicate at scale. Traditional training can often address “what to know,” but it is less effective at solving “how to act” and whether managers can consistently apply the right behaviors in practice. In the Mayinglong project, YXT used AI role-play and structured feedback to help managers repeatedly practice real management behaviors in simulated scenarios.
For example, in a cross-functional collaboration scenario, participants were required to work with an AI-simulated development engineer to complete a project. If a participant simply applied pressure, the AI would push back based on technical risks and resource constraints. When the participant began aligning goals, understanding concerns, breaking down requirements and negotiating priorities, the AI would gradually shift into a collaborative mode.
The value of this type of scenario lies in the fact that AI is no longer limited to generating content or answering questions. Instead, it begins to participate in the training and feedback of enterprise management behaviors. Compared with a traditional LMS, these scenarios are closer to the category of enterprise productivity software, and they provide a more concrete application sample for YXT’s transformation from a corporate learning SaaS provider into an enterprise-grade applied AI platform.
In the project, AI also assumed part of the role of a management coach, conducting structured assessments of participants’ goal-management plans and analyzing their feasibility, business logic, milestone breakdown and resource constraints. According to project materials, the AI role-play completion rate reached 97.62%, while the practical assignment completion rate reached 100%. These metrics cannot be directly equated with financial growth, but they indicate that AI-based training modules have achieved strong acceptance and implementation potential among real enterprise customers.
From this perspective, the significance of AABL is not merely an innovation in training format. It is a successful validation of YXT’s ability to embed AI into corporate learning, management training and organizational execution scenarios. The Mayinglong case is not only about the delivery of a single project; more importantly, it reflects a change in YXT’s product boundaries. The company is expanding from courses and learning management into management training, behavioral feedback and business execution enablement.
If YXT can continue to turn this type of customer project into replicable AI modules, its market positioning will no longer be limited to traditional corporate learning SaaS. Instead, the company may be able to extend from enterprise knowledge systems and organizational training into intelligent productivity services, using AI-native software to transform enterprise knowledge, role-based training and management behaviors into replicable and measurable employee and organizational productivity.
About YXT.com
YXT.com (NASDAQ: YXT) is a technology company focusing on enterprise productivity solutions. With a mission to "Empower people and organization development through technology," the Company strives to become the supreme provider in building and boosting enterprise productivity by combining over a decade of experience in tech-enabled talent learning and development and with AI-augmented task copilots and unleashing the power of knowledge and synergy. Since its inception, YXT.com has supported and received recognition from numerous Global and China Fortune 500 companies.
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