The Paper | MoSeeker AI Interview Agent Debuts, AI Shifts from Passive Response to Intelligent Collaboration

Overview of what this page covers

• Article header information and the background of the first release of the MoSeeker AI Interview Agent
• Joint launch of the MoSeeker AI Interview Agent with Workday and platform access details
• MoSeeker’s AI-first strategic shift and the Mars campus recruitment collaboration case
• Positioning of the AI Interview Agent’s capabilities and results of integration with the Workday platform
• The CEO’s views on global AI adoption and China’s local recruitment challenges
• Author information and navigation to other MoSeeker-related reports

Table of Contents

1. Article header and metadata (hero)
2. Launch of MoSeeker AI Interview Agent with Workday (product_overview)
3. Workday ASOR ecosystem and governance context (image description) (how_it_works)
4. MoSeeker’s AI-first recruitment strategy and Mars case study (case_study)
5. Positioning and capabilities of the MoSeeker AI Interview Agent (feature_list)
6. Workday perspective on integration with MoSeeker AI Interview Agent (trust_signal)
7. CEO’s view on global AI adoption and China-specific hiring challenges (use_case)
8. Author credit and original report link (misc)
9. Recent related articles list (navigation)

Article header and metadata

This section introduces the article title, publication date, and the theme of the first public release of the MoSeeker AI Interview Agent and the changing role of AI.

• The article focuses on the first public release of the MoSeeker AI Interview Agent.
• It highlights the trend of AI shifting from a passive response tool to an intelligent collaborator.
• The report provides the publication date information.
• The title reflects that this is a co-branded report with The Paper.

Launch of MoSeeker AI Interview Agent with Workday

This section describes the joint launch of the MoSeeker AI Interview Agent by MoSeeker and Workday at the Workday Rising conference in San Francisco, and introduces the plan for it to be available on the Workday ASOR platform as well as the conference context.

• The MoSeeker AI Interview Agent made its debut at the Workday Rising conference in San Francisco.
• The agent is planned to be integrated into the Workday ASOR agent management platform.
• The article notes that MoSeeker is an AI recruitment system solution provider.
• The Workday Rising summit has a large number of international participants.
• MoSeeker is the first HR SaaS company from China to attend in the conference’s history.

Workday ASOR ecosystem and governance context (image description)

Based on the accompanying image, this section explains that within the Workday ASOR ecosystem, MoSeeker acts as a partner agent collaborating with native and custom agents, all managed through unified operations and governance dashboards.

• The image shows Workday ASOR as a platform ecosystem for multi-agent collaboration.
• The MoSeeker AI Interview Agent is depicted as a partner agent connected to ASOR.
• Native agents and custom agents collaborate within the same ecosystem.
• Operations and governance dashboards provide unified monitoring and management views for all types of agents.

MoSeeker’s AI-first recruitment strategy and Mars case study

This section introduces MoSeeker’s recruitment strategy evolution from mobile-first to AI-first, and uses a campus recruitment collaboration case with Mars to show how AI tools improve efficiency and candidate experience in steps such as initial screening, scheduling, and scoring.

• MoSeeker’s strategy has shifted from “Mobile First” to “AI First.”
• MoSeeker partnered with Mars to deploy products such as an AI conversational bot and AI interviews.
• In a single campus recruitment project, AI significantly reduced HR interview time.
• The project achieved strong metrics for interview completion rate and candidate satisfaction.
• The case shows that AI adoption helps enhance employer brand image.

Positioning and capabilities of the MoSeeker AI Interview Agent

This section explains MoSeeker’s focus on recruitment agents, noting that the AI Interview Agent can autonomously plan and execute end-to-end first-round interviews, serving as a professional HR partner to complete multiple recruitment tasks.

• MoSeeker’s recruitment agents focus on building agents for recruitment scenarios.
• The AI Interview Agent can independently handle steps such as initial talent screening and interview invitations.
• The agent can autonomously plan actions to support end-to-end first-round interviews.
• As HR’s professional interview partner, it understands business logic and objectives.
• The system supports multi-task collaboration to automate and optimize the recruitment process.

Workday perspective on integration with MoSeeker AI Interview Agent

This section quotes Workday’s Global Director of Data Architecture Technology, stating that combining Workday’s open platform with the MoSeeker AI Interview Agent helps reshape the candidate job-seeking experience and improve global recruiting efficiency.

• Workday’s open platform provides an integration foundation for third-party agents.
• Workday’s representative affirms the value of partnering with the MoSeeker AI Interview Agent.
• The integration is described as an important step to improve the candidate job-seeking experience.
• The partnership aims to enable an efficient, globalized recruiting process.

CEO’s view on global AI adoption and China-specific hiring challenges

This section presents the views of MoSeeker CEO Wang Xiangdao, emphasizing that multinational companies need to adopt cutting-edge AI responsibly to address challenges in China’s recruitment market, such as a large candidate base, broad geographic coverage, ecosystem differences, and dialect diversity.

• Wang Xiangdao believes multinational companies should deeply understand cutting-edge AI technologies.
• He emphasizes that deploying AI applications across different countries and markets should follow principles of responsibility.
• Local recruitment in China faces issues of a massive candidate pool and broad geographic coverage.
• Differences in user ecosystems and dialect diversity are seen as key challenge factors.
• He proposes leveraging AI to solve multinational companies’ hiring challenges in China.

Author credit and original report link

This section provides the author byline information and includes a link to the original The Paper article for further reading.

• The article indicates the author’s name.
• It provides a web link to the original report on The Paper.
• Together, the author and original link ensure the information source is traceable.

Recent related articles list

This section lists several recent articles related to MoSeeker, including a talent conference recap, a localized recruitment system collaboration case, and a company executive’s public appointment.

• Introduces the MOMENTUM China Talent Momentum Conference and MoSeeker’s role as organizer.
• Mentions the case of Wall’s China partnering with MoSeeker to build a localized recruitment system.
• Notes that the collaboration is regarded as a representative case of digital-intelligent transformation in the FMCG industry.
• States that Wang Xiangdao was elected as a standing committee member of the Shanghai Returned Overseas Chinese Association.
• These articles provide further reading on MoSeeker’s work in HR tech and industry practice.

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