Company Launches Development of Meta-Order Intelligent Entity Capability Platform
Led by company founder Yan Hao personally, Mangxu Software has officially initiated the development of the "Meta-Order Intelligent Entity Capability Platform." This platform aims to provide organizations in the AI era with a new business operation system, addressing core pain points such as "having AI tools but no AI system," "having systems but no standards," "having data but no assets," and "having processes but no intelligence" that organizations currently face in digital transformation.
I. What Do Organizations Need in the AI Era?
AI is not a simple feature button but a completely new way of conducting business operations. However, most organizations face the following practical dilemmas:
- Having AI tools, but no AI system: Accounts like ChatGPT are purchased, but AI remains disconnected from business processes, failing to create synergy.
- Having systems, but no standards: Millions are invested in building systems, but data formats are chaotic, fields are arbitrarily defined, and integration costs between systems are extremely high.
- Having data, but no assets: Data is scattered across various systems, reset to zero when switching vendors, and cannot be reused or appreciated.
- Having processes, but no intelligence: Approvals rely on manual reminders, decisions depend on experience, and analysis relies on Excel spreadsheets.
Mangxu Meta-Order's solution does not simply add an AI feature for customers; instead, it helps customers reconstruct the entire business operation system with AI—from data standards to process flow, from intelligent decision-making to asset accumulation, establishing an organizational capability that continuously evolves in the AI era.
II. What Do We Build for Customers?
What Mangxu Meta-Order helps customers build is not a system but a five-in-one AI-empowered new system:
System 1: AI-Driven Business Operation System
AI is not an independent module but is integrated into every business link. The key difference is: it's not about "using AI," but "AI is in use"—AI is embedded in every step of business flow, working automatically without manual triggering.
| Business Link | How AI Participates |
|---|---|
| Data Collection | AI intelligently recommends form fields, OCR automatically recognizes IDs/bills/documents |
| Process Approval | AI automatically assesses risk levels, recommends approval paths, and sends smart timeout reminders |
| Data Analysis | AI automatically detects data anomalies and trends, generating analysis reports |
| Customer Service | AI customer service provides 7x24 automatic Q&A with precise knowledge base matching |
| Content Production | AI writes notices, reports, copy, and creates posters |
| Quality Control | AI automatically reviews content compliance and detects data quality issues |
| Intelligent Recommendation | Recommends products/services/content based on user profiles |
| Knowledge Accumulation | AI learns organizational usage habits, becoming more attuned to your business over time |
System 2: Industry Standardization Governance System
Traditional approaches build systems first and then add standards, resulting in standards that are never fully implemented. Mangxu Meta-Order takes the opposite approach—build standards first, and let standards drive everything.
| Standard-Driven | Effect |
|---|---|
| Drives Forms | Field names, types, and validation rules automatically match industry standards |
| Drives Models | Automatically recommends standard fields when creating tables, preventing arbitrary naming |
| Drives Quality | Automatically generates validation rules (non-empty, format, range, uniqueness) |
| Drives Integration | Automatically maps external data to standard fields during import |
| Drives Reports | Chart and indicator names align with industry standards, enabling cross-organization benchmarking |
| Drives Export | Export formats comply with industry norms, facilitating regulatory reporting |
Value: From day one, the system is standardized, auditable, and comparable with peers in the same industry.
System 3: Digital Asset Accumulation System
Every operation customers perform on the platform accumulates assets. All assets are stored in standardized JSON format, supporting one-click export. Even if customers stop using the platform, they can fully take their assets with them, achieving a zero-lock-in commitment.
| Asset Type | Description | Ownership |
|---|---|---|
| Data Assets | All business data, structured storage, exportable anytime | Customer exclusive |
| Standard Assets | Industry field specifications, coding rules, data dictionaries | Customer exclusive |
| Process Assets | Approval flows, business flows, automation rules—embodying organizational management wisdom | Customer exclusive |
| Application Assets | Forms, pages, reports, application packages—replicable, migratable, and marketable for monetization | Customer exclusive |
| AI Assets | Knowledge bases, training feedback, usage preferences—AI becomes more attuned to your business over time | Customer exclusive |
| Organizational Assets | Personnel, roles, permissions, organizational structure—a complete digital organizational profile | Customer exclusive |
System 4: Secure and Stable Operation Assurance System
All strategies and constraints are designed to deliver a standardized, secure, and stably running system.
| Assurance Level | Specific Mechanism |
|---|---|
| Tenant Isolation | Database-level global filter, 100% data isolation, no query can leak data |
| Application Isolation | Data from different applications within the same tenant is mutually invisible |
| Permission System | RBAC (Role-Based Access Control) + ABAC (Attribute-Based Access Control) + Data Range Control + Direct Authorization |
| Security Protection | Comprehensive defense against SQL injection/XSS/script attacks, input sanitization, sandbox isolation |
| Audit Trail | Operation audit (who changed what, before-and-after comparison) + AI call tracking + API audit |
| Compliance Ready | GDPR/Personal Information Protection Law ready, data masking, domestic database support (Dameng/KingbaseES/GaussDB) |
System 5: Open Ecosystem and Value Circulation System
Customer capabilities and applications are not closed off; they can generate greater value:
- Application Marketplace: Built applications can be packaged and listed for subscription by peers in the same industry, earning revenue sharing
- API Openness: Open proprietary capabilities as APIs to partners
- Data Connectivity: 20+ pre-built connectors (DingTalk/WeChat/Feishu/SAP, etc.), integrating existing IT investments
- Industry Collaboration: Customers in the same industry share data standards, enabling cross-organization data benchmarking
III. AI Capability Matrix—Not Just Adding a Chatbox, But Rebuilding Productivity
Integrating mainstream large models like DeepSeek and Tongyi Qianwen, 12 AI capabilities cover every aspect of organizational operations:
| AI Capability | What It Does for Customers | Typical Scenarios |
|---|---|---|
| AI Customer Service | 7x24 intelligent Q&A, automatically answering 80% of common questions | Student inquiries/patient guidance/customer service/resident repair requests |
| AI Knowledge Q&A | Precise Q&A based on enterprise knowledge base | Policy and regulation queries/operation manuals/internal FAQs |
| AI Writing Assistant | Automatically generates notices, reports, copy | Work reports/meeting minutes/marketing copy/notices and announcements |
| AI Smart Summary | Extracts key points from long documents in seconds | Contract summaries/resume highlights/meeting records/policy interpretations |
| AI Content Review | Automatically detects sensitive/violating content | Community posts/marketing compliance/announcement reviews |
| AI Translation | One-click translation of multi-language documents/notices | Foreign affairs/cross-border business/multi-language announcements |
| OCR Recognition | Automatic recognition and entry of IDs/bills/documents | ID cards/prescriptions/invoices/expense reports |
| AI Data Insights | Automatically detects data anomalies and trends | Business alerts/quality anomalies/customer flow fluctuations |
| Intelligent Recommendation | Personalized recommendations for content/products/services | Product recommendations/course recommendations/job matching |
| AI Image Generation | Automatic generation of posters/promotional images/materials | Event posters/product images/social media materials |
| Voice Services | Speech-to-text, text-to-speech | Meeting minutes/voice broadcasts/accessibility services |
| AI Digital Human | Virtual customer service/virtual instructor/virtual guide | Online training/scenic area tours/virtual reception |
Additionally, the platform provides AI governance capabilities: quota management + BYOK (Bring Your Own Key) + cost tracking + 5-level fallback chain intelligent model matching + full-chain observability.
IV. Seven Engines—Infrastructure for Organizations to Build Applications Autonomously
Engines are the foundation for building all applications. Customers do not need to write code but have greater control than coding—because the engines are backed by AI assistance and standard constraints.
(Note: The original text does not fully list the specific content of the seven engines. Based on context, they may include a form engine, process engine, report engine, permission engine, integration engine, AI engine, data engine, etc., subject to the final product.)
Outlook and Impact
The launch of the Meta-Order Intelligent Entity Capability Platform marks a critical step for Mangxu Software in the field of AI-empowered organizational operations. This platform is expected to help organizations across industries leap from "digitization" to "intelligence," lowering the barrier to AI application, accumulating digital assets, and improving operational efficiency. In the future, as the platform ecosystem matures, customers will not only use it for themselves but also realize value circulation through the application marketplace and API openness, fostering industry synergy.