RPA Bot Configuration for Application Setup Automation
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Solution Overview
Problem
Customizing and extending infrastructure for processes like invoice generation and billing can be expensive and time-consuming, requiring effort and expertise across multiple applications and roles, and coordinating troubleshooting can be complex and prone to errors.
Innovation Solution
The use of Robotic Process Automation (RPA) to perform configuration and setup of applications, with Natural Language Processing (NLP) and predictive Machine Learning (ML) for import, configuration, testing, and self-healing, to create RPA bots that interact with applications and perform configuration steps, and provide an estimated time of completion based on past data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration and setup of applications is performed, then customization can be achieved, but the process is expensive and time-consuming
Solution Approach 1:
The system enables self-service configuration by allowing users to upload configuration files that automatically trigger the configuration process. The RPA bots autonomously execute configuration steps, test configurations, and even perform self-healing without requiring manual intervention from experts across multiple applications.
Solution Approach 2:
Manual mechanical configuration processes are replaced by automated RPA bots that perform configuration tasks. The system substitutes human expertise with automated robotic processes that can execute configuration steps, run tests, and handle errors without human intervention.
2Reliability
If manual coordination across multiple applications and roles is performed, then customization can be achieved, but troubleshooting becomes complex and error-prone
Solution Approach 1:
The system implements feedback mechanisms where RPA bots automatically test configurations and provide real-time status updates. Configuration tests generate feedback that is immediately processed, and if errors are detected, the system provides feedback to users and can automatically initiate self-healing processes.
Solution Approach 2:
RPA bots serve as intermediaries between users and complex application configurations. Instead of users directly coordinating across multiple applications, the RPA bots act as mediators that handle the complexity of configuration execution, testing, and error handling.
3Ease of manufacture
If extensive expertise across multiple applications is required, then accurate configuration can be achieved, but cost and time increase
Solution Approach 1:
The system performs preliminary actions by providing users with configuration templates and guides before the actual configuration process. Users can prepare their configuration files in advance using standardized templates, and the RPA bots execute the configured steps automatically, reducing the need for real-time expert intervention.
Data Source
AI summary
Embodiments relate to methods and systems that utilize Robotic Process Automation (RPA) to perform configuration and setup of application(s) that may be present within larger, complex landscapes. In response to a configuration request, content is imported from the application(s)—e.g., read from documentation of a content package. Configuration data is derived from the content, and the configuration data is stored. RPA bot(s) are created to interact with the application(s) and perform a configuration according to a sequence of steps. The configuration is tested according to an end-to-end test path, with the status of the configuration ultimately being reported back to the requestor. Certain embodiments may employ self-healing to correct issues revealed by the testing. Particular embodiments may utilize Natural Language Processing (NLP) and/or predictive Machine Learning (ML) in order to perform one or more of the import, configuration, test, and/or (optional) self-healing functions.