Botnow's workflow engine is designed with visual orchestration to support automated scheduling of cross-system tasks. The engine has three core features: a drag-and-drop interface to define business rules and decision branches, integrated RPA capabilities to handle structured data operations, and built-in exception handling mechanisms to ensure process reliability.
In the smart office scenario, the workflow engine can realize the intelligence of high-frequency office scenarios such as meeting arrangement and document approval. The case of a retail enterprise shows that by automating the promotion approval process, the approval cycle is shortened from an average of 3 days to 4 hours, and the process visualization and management enables the related departments to collaborate to improve efficiency by 35%.
Unique to the platform is the embedding of AI decision-making capabilities into workflow nodes, for example, when intelligently assigning customer service work orders, the system synthesizes customer value, issue complexity, and agent skill matrices for dynamic routing. This AI-enhanced automation provides greater business adaptability than traditional RPA.
This answer comes from the articleBotnow: AI Intelligent Body Creation and Distribution Platform for Smart Marketing and Smart OfficeThe
