Natural Language Workflow Generation Without Manual Coding
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Solution Overview
Problem
Existing automation methods require technical expertise and manual coding, making them inaccessible to users who lack programming knowledge, especially in managing complex workflows involving multiple software tools and data integration across diverse applications.
Innovation Solution
A system that generates automated workflows through natural language inputs, determining the sequence of sub-operations required to perform a desired operation, and displays the proposed workflow in a user-friendly interface, allowing users to approve or modify the sequence without coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional manual automation methods are used, then automation capability is achieved, but ease of operation deteriorates due to requiring technical expertise and coding knowledge
Solution Approach 1:
The patent introduces an intermediary natural language processing layer between the user and the automation system. Users interact through conversational text rather than code, and the system translates this natural language into automated workflow actions. This intermediary layer eliminates the need for users to learn programming while maintaining full automation capability.
Solution Approach 2:
The patent replaces the mechanical system of manual coding and technical configuration with an automated language-based interface. Instead of users manually constructing automation logic through code, the system uses natural language processing to automatically generate and execute workflows, substituting technical mechanical operations with intelligent language interpretation.
2Productivity
If complex workflows involving multiple software tools are automated, then productivity is improved, but device complexity increases due to integrating diverse applications and data
Solution Approach 1:
The patent creates a universal natural language interface that can handle multiple software tools and applications through a single unified system. Rather than requiring separate integration mechanisms for each application, the multi-functional language processing system can translate diverse automation requirements into appropriate actions across different platforms, reducing the perceived complexity for users.
Solution Approach 2:
The patent segments complex workflows into discrete natural language instructions that can be independently processed and executed. By breaking down multi-step workflows involving multiple applications into separate, manageable language-based tasks, the system reduces the complexity of managing integrations while maintaining overall workflow efficiency.
3Manufacturing precision
If custom processes are manually designed and coded, then automation precision is achieved, but loss of time increases due to the lengthy development and testing process
Solution Approach 1:
The patent performs preliminary action by pre-processing natural language inputs into structured workflow definitions before execution. The system analyzes and interprets user intent in advance, automatically generating the appropriate automation logic and validation rules, which eliminates the time-consuming manual design and testing phases while ensuring accurate workflow implementation.
Solution Approach 2:
The patent enables self-service automation generation where the system automatically creates, validates, and optimizes workflows based on natural language inputs without requiring manual coding or extensive testing. The automated system serves itself by generating precise workflow definitions and performing self-validation, eliminating the time investment required for manual development while maintaining high accuracy.
Data Source
AI summary
Systems and methods for generating an automated workflow. A workflow generation request is received as a textual natural language input through a workflow generation user interface on a user device. The request defines a desired automated operation. A proposed automated workflow is determined as a sequence of sub-operations required to perform the desired automated operation. The sequence of sub-operations is determined by determining, based on the natural language input, at least one desired output to be generated by the desired automated operation; determining one or more output operations usable to generate the at least one desired output; and defining the sequence of sub-operations to include a plurality of sub-operations arranged into a sequence concluding with the one or more output operation. A representation of the proposed automated workflow is then displayed in the workflow generation user interface on the user device.