# Lingyi Wanwu Accelerates ToB Strategy with New Executive Appointments
Lingyi Wanwu’s **ToB (Business-to-Business) strategy** is moving quickly from planning to execution.
Following its early-year **“All in ToB”** announcement and the release of its enterprise-grade large model platform **Wanzhi**, the company has **announced a new round of senior executive appointments** to boost implementation capacity.
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## Strengthening Executive Leadership
A new **three-pronged leadership structure** has been formed, covering **Market & Sales**, **Model & Technology**, and **International & Consulting**:
- **Shen Pengfei** – Co-founder, overseeing domestic ToB and ToG (Government) business.
- **Zhao Binqiang** – VP of AI Models & Professional User Products.
- **Ning Ning** – VP of International Business & AI Consulting.
### CEO-Led Project Core Philosophy
Dr. Kai-Fu Lee reiterated the importance of what he calls a **“CEO-led project”**:
> Enterprise AI transformation must be a CEO-led project.
> Only when the CEO personally participates in strategic design and deeply embeds AI into core processes can AI deliver real value.
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## Executive Profiles
### Shen Pengfei — Co-founder, ToB & ToG Leader
- **Role**: Driving expansion in domestic B2B and government sectors.
- **Experience**: 26 years in IT and internet sectors; former Deputy GM of Baidu Intelligent Cloud China.
- **Expertise**: Closed multi-billion-scale contracts; delivering complex projects.
- **Focus**: Direct engagement with partner executives to:
- Co-develop strategies
- Identify actionable scenarios
- Fine-tune and deploy AI models
- Build applications delivering tangible business outcomes
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### Zhao Binqiang — VP, AI Models & Professional User Products
- **Education**: Tsinghua University graduate.
- **Background**: 17 years in algorithms and AI at internet scale; former Senior Algorithm Expert & Taobao Technical Lead at Alibaba.
- **Contributions**:
- Led proprietary model data engineering and end-to-end training pipeline development.
- Oversees:
- Core large model R&D
- Professional Agent applications
- Overseas productivity product lines
- **PopAi** scaled globally among professional users; accelerated enterprise-level Agent adoption.
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### Ning Ning — VP, International Business & AI Consulting
- **Responsibilities**: Global market expansion & AI consulting frameworks.
- **Achievements**:
- Led Belt and Road Initiative sovereign model collaborations.
- Introduced the **“Frontline Deployment Engineer”** model to embed tech and consulting deeply into client operations.
- Served as **Chief AI Officer** for international customers to shift from pilot AI projects to full-scale production.
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## From Product to Systematic Execution
This leadership reshuffle signals a **strategic shift** from product-centric operations to **systematic execution**.
- March: **“All in ToB”** strategy announced.
- The **“CEO-led project”** identified as the core execution pathway.
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## The CEO-Led Project & Wanzhi Platform
### Strategic Principles
- AI should be **integrated from strategy to process, from model to application**.
- Goal: Make AI a **central productivity driver** rather than a peripheral experiment.
### Wanzhi Platform Development
- Over two years of R&D.
- Upgraded to **Wanzhi 2.0 (July)** with:
- Enterprise-grade Agent customization
- Multi-industry deployment support
**Industry Coverage**:
- Government
- Finance
- Manufacturing
- Office
- Energy
**Impact**: 30+ “super-employee” AI Agents deployed; replication of AI capabilities at scale.
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## Horizontal–Vertical AI Architecture
Lingyi Wanwu’s framework:
- **Horizontal layer**: Core platform and general model capabilities.
- **Vertical layer**: Industry-specific solutions (government, finance, manufacturing, energy, healthcare, etc.).
**Strategic Objective**:
Make AI capabilities **replicable, scalable, and deployable**, achieving a **closed-loop enterprise AI delivery**.
### ToB Strategy 2.0
A mature, replicable deployment model based on the **CEO-led project**.
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## Complementary Publishing & Monetization Tools
As enterprise AI adopted at scale:
- **Structured strategies**
- **Scalable architectures**
- **Efficient publishing workflows**
become critical for success.
Tools like **[AiToEarn官网](https://aitoearn.ai/)** support:
- AI-driven content generation
- Cross-platform publishing (Douyin, LinkedIn, YouTube, etc.)
- Performance analytics
- Monetization at scale
These platforms complement enterprise AI deployments by enhancing:
- External communications
- Training
- Marketing reach
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## Co-Creation with Partners
**Goal**: Build an **open, extensible enterprise AI operating system** centered on the Wanzhi platform.
### Key Collaborations in China:
- **AIA Insurance**
- **Zhaopin**
- **Oriental Media City**
Launched the **Ecosystem Matrix Partner Program** with:
- Goatpai
- Yunke
- Law Angel
...creating multi-scenario AI solutions.
### International Achievements:
- In partnership with Kazakhstan, co-launched **AlemLLM**
- Landmark AI collaboration under the Belt and Road framework
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## Vision from Dr. Kai-Fu Lee
> AI’s value is shifting from tools to services, ultimately aiming at outcomes.
> **ZeroOne’s mission is to make AI a driver of enterprise transformation.**
**Future focus**:
- AI Agents as breakthrough
- “First-leader projects” at the core
- Share China’s AI innovation globally — together, **Make AI Work**.
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## Final Insight
In a rapidly transforming AI ecosystem, **[AiToEarn官网](https://aitoearn.ai/)** exemplifies how open, globally connected platforms can:
- Leverage AI for content generation
- Enable multi-platform publishing
- Track performance
- Rank models
- Monetize outputs efficiently
**Lingyi Wanwu’s enterprise-first AI approach and AiToEarn’s creator-driven publishing model** both point toward a future where **AI is deeply integrated into work, communication, and value creation**.
![Multi-Agent Collaboration Pattern in 'Design Patterns for Intelligent Agents': Division of Labor to Break Single-Agent Limitations [Translation]](/content/images/size/w600/2025/10/img_001-132.png)
