
Yingdao AI focuses on enterprise automation by integrating natural language processing capabilities with Yingdao RPA. It is designed for teams that need to handle spreadsheets, text, documents, and business processes, with an emphasis on incorporating AI-generated content or processing logic into specific tasks—rather than merely answering questions.
Magic Commands and AI Service Orchestration
Magic CommandIt allows users to describe processing requirements through dialogue, generate operational instructions for data, Excel files, lists, images, text, and other files, and continue to modify them through follow-up questions. It is best suited for localized tasks with clearly defined boundaries, such as describing a set of data processing rules and then applying the generated instructions to automated applications. The official website lists this feature as now available in the Enterprise Edition.
AI PowerFor AI service orchestration, you can select third-party AI service components, connect them to input/output and data acquisition components, and set up and debug the AI services required for your business. Users who already have specific use cases can do so byAI Power PortalEnter.
Scope of Access for Different Abilities
Yingdao AI Product PageThe presentation also introduced “Magic Workflows,” which generate automation through dialogue, as well as “AI Roles” that support task requirements and knowledge base documentation. While Magic Workflows are still marked as “Coming Soon,” and AI Roles offer a preview experience, these capabilities should not be considered features that all users can enable immediately.
AI WorkOSRegarding the design and management of AI employees for enterprises, the product page is marked as “Coming Soon,” while the legacy AI Power entry point remains available. When deploying the solution, users should distinguish between existing services and the upcoming product, and apply for the appropriate solution based on their actual business needs.
Applicable Tasks and Implementation Conditions
Yingdao AI is suitable for teams that have well-defined business rules and need to repeatedly process data or perform a series of software operations. The successful implementation of automation still depends on permissions for the target software, the quality of input data, and exception handling; generated commands or workflows should first be validated using test data before being integrated into production operations. For processes involving writing, sending, or batch modifications, appropriate approval and review workflows must also be configured.
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