Beisen Holdings Limited launched its Mavens 15+ AI HR Experts platform at the 4th User Heroes Conference in Beijing on August 28, drawing more than 3,000 HR professionals and executives. The company also reported that AI product contract value surged tenfold year-over-year to over 87 million RMB in fiscal year 2026, signaling that enterprise appetite for AI-driven HR tools has moved well beyond pilot programs.
Human-digital hybrid teams take shape
Beisen's vision splits the HR function into two layers. Human HR professionals focus on business strategy, standards, and judgment calls. Digital HR agents handle task execution - onboarding, transfers, offboarding, and talent assessments. The new Mavens platform packages this approach into a single interface where HR teams can train, deploy, and manage a roster of AI specialists.
The lineup includes process-driven assistants for routine administrative workflows and talent-focused AI experts covering selection, development, and retention. One addition, the AI Talent Officer, acts as an on-demand talent advisor for managers and a digital twin of the Chief Human Resources Officer. It builds multi-dimensional talent profiles by drawing on full-lifecycle HR data to support recommendations, appointments, and development planning.
In recruitment, Beisen introduced a collaborative AI Recruitment Expert Team - the AI Sourcer, AI Recruiter, AI Candidate Assistant, AI Interviewer 3.0, and AI Interview Assistant - that handles sourcing, candidate communication, and assessment. The goal, according to the company, is a shift from manual, HR-driven hiring to HR professionals managing a team of AI recruitment agents. Over 1,500 enterprise clients have already adopted Beisen's AI solutions, and an IDC report places the company as the leading AI agent provider in China's HCM market.
The engine underneath the platform
Three capabilities underpin the Mavens platform. First, integrated HR SaaS software spanning recruitment, Core HR, payroll, performance, succession, and learning supplies the business context and data that digital HR agents need to understand organizational structures and execute tasks accurately. Second, Beisen's two decades of research in talent competency and assessment - what it calls People Science - give AI agents the professional judgment to evaluate and develop employees rather than just process forms.
Third, proprietary AI-native technology handles the leap from understanding a request to completing it. The SenGPT model masters HR-specific terminology, entity relationships, and operational rules, while the SenClaw engine manages task planning, multi-agent orchestration, and external integrations. Together, these components let HR professionals train digital colleagues who operate with domain-specific expertise rather than generic chatbot responses.
Financials show operating leverage kicking in
For the fiscal year ending March 31, 2026, Beisen reported total revenue of 1,104.8 million RMB, up 16.9% year-over-year. Cloud-based HCM solutions revenue reached 864.5 million RMB, a 19.8% increase. Adjusted net profit margin improved by 8.1 percentage points to 5.0%, marking the company's first positive adjusted net profit. Net operating cash flow jumped 102% to 155.4 million RMB.
Core product momentum held steady: Core HCM integrated ARR grew 23%, with net revenue retention at 114%. Learning cloud ARR rose 19%. Ji Weiguo, CEO of Beisen, said the company will "continue to anchor itself deeply in real-world enterprise HR scenarios" and "consistently iterate and refine our AI-native products and digital AI HR experts' capabilities" to drive commercial value and long-term investor returns.
Beisen also recently integrated with WorkBuddy, appearing as a leading HR vendor and early ecosystem partner at its launch event. Users can now query HR data, check business progress, and get professional support using natural language requests.
Why this matters for HR professionals
The Beisen rollout and its revenue numbers confirm that AI in HR is shifting from experimental budgets to operational spending. For HR practitioners, the practical implication is clear: the skill set that matters is less about personally executing repetitive workflows and more about configuring, supervising, and refining AI agents that handle those tasks. Understanding how to evaluate AI-driven talent recommendations, interpret agent-generated assessments, and integrate digital HR outputs into strategic decisions will become a core competency. Professionals looking to build that competency can explore structured learning through an AI Learning Path for CHROs that covers workforce analytics and talent management, or dig into broader applications via AI for Human Resources resources focused on recruitment automation and HR analytics.
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