Product Overview
WinNexo helps you build specialized Digital Workers for your team.
A Digital Worker in WinNexo isn't just a chatbot — it truly understands your business. Under the hood, it relies on three layers of semantic assets you define: an Object Graph, Business Logic, and Skills. The Object Graph tells it "how to compute relevant business entities and relationships," Business Logic tells it "what the rules are and how to make judgments," and Skills tell it "what actions to take."
You can interact with Digital Workers through a web interface, OA clients, or embedded directly into your business systems — using natural language to have conversations or delegate tasks. Whether it's querying data, looking up information, generating summaries, making recommendations, providing talking points, creating reports, sending notifications, or operating systems — it all gets done within your role and permissions.
Who Is WinNexo For
Enterprise-level usage — Data analysts, financial analysts, and sales operations staff working with role-specific Digital Workers. Behind these specialized Digital Workers are platform administrators, data architects, and AI application engineers crafting customized Digital Workers for different roles. Customizing a Digital Worker requires: connecting data sources, using "AI Generation" to feed business scenario descriptions to AI for automatic Object Graph creation, defining business rules, assembling Skills by role, granting Knowledge Base access, and assigning permissions by user group. A team can be up and running within a week. → Jump to: Advanced Usage
Individual-level usage — Frontline business users (sales / operations / customer service), personal work companions. No modeling knowledge required — just log in, upload knowledge, and use ready-made Digital Workers: natural language Q&A, built-in Skill invocation, scheduled tasks pushed to IM. Get started in 10 minutes. → Jump to: Quickstart
How It Works
WinNexo consists of three layers: Semantic Layer + Role Layer + Action Layer.
- The Semantic Layer (Semantic Center) provides "what the business looks like" — objects like customers, opportunities, and visits, along with rules like "how to calculate high-value customers," are unified into a machine-readable semantic model. AI reasons based on this semantic model rather than guessing.
- The Role Layer (Digital Workers) provides "who does the work" — each Digital Worker is bound to a set of objects, business logic, skills, and a knowledge scope, functioning like a colleague with defined responsibilities. Switching roles = switching Digital Workers.
- The Action Layer (Skills + Knowledge + IM Channels) provides "how to get things done" — Skills enable AI to take action (send messages, generate reports, call APIs), Knowledge gives AI evidence, and IM Channels bring AI into your everyday workspace.
When these three layers work together, AI delivers not generic advice but traceable outputs based on real data and compliant with business rules.
Five Core Modules
| Module | Perspective | Core Capabilities |
|---|---|---|
| Semantic Center | Business architect | Object Graph / Business Logic / Analysis Views / AI Generation — build an enterprise-grade semantic layer |
| Skill Center | Capability operations | 60+ built-in general Skills + custom Skills, authorized by role |
| Knowledge Center | Knowledge management | Personal resources + enterprise Knowledge Bases, supporting all formats including files, meetings, chats, and documents |
| Digital Workers | Role operations | Assemble objects, logic, skills, and knowledge into a role-level AI assistant |
| AI Workspace | Frontline business | Frontend chat, scheduled tasks, output management, IM channel integration |
How WinNexo Differs from Traditional AI Assistants
| Dimension | Generic AI Assistant | WinNexo |
|---|---|---|
| Data Foundation | General knowledge + user-provided context | Enterprise-grade semantic layer (Object Graph + Business Logic + Analysis Views) |
| Answer Calibration | Freeform responses | Precise reasoning based on enterprise-defined standards (e.g., "high-value customer" calculated by rules) |
| Execution Capability | Can only answer | 60+ built-in Skills + custom Skills — can send messages, generate files, call APIs |
| Role Boundaries | One chatbot for everything | Digital Workers split by role, each with independent object / knowledge / skill boundaries |
| Collaboration | Single-point conversation | Web + IM + scheduled tasks + sharing + embedded in business systems |
What to Read Next
WinNexo is an AI-powered data work companion under Alibaba Cloud Ling Yang, focused on enterprise sales and business management scenarios. The platform builds an AI Agent data foundation using enterprise-grade data and knowledge, continuously optimizing and restructuring sales workflows through human-AI collaboration, assisting teams with customer insights, strategy formulation, and task execution — making every sales activity smarter and more efficient.
