Problem: Creating workflows manually can be time-consuming and error-prone, especially for complex business processes. Businesses need a faster, more accurate way to generate workflows that align with their domain and data models.
Why It Matters: Manual workflow creation delays application development and increases the risk of misalignment with business objectives, leading to inefficiencies and higher costs.
Proposed Feature/Idea
Solution: Use AI to automatically generate workflows from user inputs, such as:
A prompt described in plain language (e.g., "Create a workflow to move inventory parts").
Existing business process or data model diagrams (e.g., BPMN, UML).
What It Does: AI analyzes the input to:
Understand the business logic.
Create workflows (like the one in the attached image) that can be directly used as a domain and data model in the low-code platform.
Example: Input a business prompt or upload a diagram, and the system generates a workflow like the "Move Inventory" process diagram in the attachment.
Business Impact
Time Savings: Reduces workflow creation time by up to 80%.
Error Reduction: Ensures workflows are consistent and accurate based on predefined business rules and domain models.
Scalability: Enables faster scaling of applications by automating repetitive workflow design tasks.
Key Features/Capabilities
Input Options:
Plain-language text prompts.
Uploaded business process or data model diagrams (e.g., JSON, XML).
AI-Powered Generation:
Natural language processing to interpret text.
Diagram parsing to identify workflows and relationships.
Workflow Outputs:
Fully editable workflows in the low-code platform.
Integration-ready domain and data models.
User Feedback Integration:
Allow users to edit and refine workflows with suggestions provided by AI.