RPA-Based Interactive Documentation Generation
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Solution Overview
Problem
Existing documentation and learning materials for new employees lack up-to-date information, are costly to maintain, and fail to capture expert knowledge effectively, limiting their ability to answer diverse user questions and hinder knowledge sharing across the enterprise.
Innovation Solution
An electronic documentation generation system that utilizes Robotic Process Automation (RPA) data to automatically generate and deliver interactive, structured documentation, including screen guides and inline help, enabling cross-application and cross-technology tutorials, reducing maintenance costs and enhancing knowledge sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If companies maintain expansive collections of documentation and learning materials, then they have more content to answer user questions, but the cost to maintain and update the documentation increases
Solution Approach 1:
The system enables self-service documentation generation by automatically capturing expert knowledge through RPA bots and converting it into structured documentation without requiring manual intervention from subject matter experts or documentation writers
Solution Approach 2:
The system creates copies of expert knowledge by recording RPA bot actions and converting them into documentation that can be replicated and distributed across the organization, eliminating the need for experts to repeatedly explain processes
2Reliability
If experts are used to train new employees and answer questions, then the quality of knowledge transfer is high, but experts are unavailable for their primary corporate activities
Solution Approach 1:
The system creates digital copies of expert knowledge through RPA bots that capture and replicate expert actions and decision-making processes, making the knowledge available without requiring expert presence
Solution Approach 2:
RPA bots serve as intermediaries that bridge the gap between expert knowledge and new employees, automatically capturing expert actions and translating them into trainable documentation and chatbot responses
3Loss of information
If existing documentation collections are maintained, then they provide some learning material, but they lack up-to-date information and fail to capture expert knowledge effectively
Solution Approach 1:
The system makes documentation dynamic by automatically updating it based on current RPA bot actions and chatbot interactions, ensuring the information remains current without manual intervention
Solution Approach 2:
The system performs preliminary actions by proactively capturing expert knowledge through RPA bots before it becomes obsolete, and pre-structuring it into trainable formats for future use
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for automatically generating electronic documentation, including interactive documentation, using robotic process automation (RPA). An embodiment operates by receiving RPA data associated with an RPA bot. The embodiment further operates by generating modified RPA data based on the RPA data. Subsequently, the embodiment operates by generating electronic documentation data based on the modified RPA data.