Uipath, inc. (20240208049). PROCESS EVOLUTION FOR ROBOTIC PROCESS AUTOMATION AND WORKFLOW MICRO-OPTIMIZATION simplified abstract
Contents
PROCESS EVOLUTION FOR ROBOTIC PROCESS AUTOMATION AND WORKFLOW MICRO-OPTIMIZATION
Organization Name
Inventor(s)
Prabhdeep Singh of Bellevue WA (US)
Christian Berg of Seattle WA (US)
PROCESS EVOLUTION FOR ROBOTIC PROCESS AUTOMATION AND WORKFLOW MICRO-OPTIMIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240208049 titled 'PROCESS EVOLUTION FOR ROBOTIC PROCESS AUTOMATION AND WORKFLOW MICRO-OPTIMIZATION
Simplified Explanation: The patent application discusses the evolution of processes for robotic process automation (RPA) and the optimization of RPA workflows. It involves planning RPA implementation using artificial intelligence, measuring operations with embedded analytics, and continuously improving RPA effectiveness through iterative cycles guided by AI.
- RPA implementation is scientifically planned, potentially using AI.
- Embedded analytics are used to measure, report, and align RPA operations with strategic business outcomes.
- RPA is implemented by deploying AI skills, such as machine learning models, through an AI fabric.
- Planning, measuring, and reporting cycles are repeated to iteratively improve RPA effectiveness.
- RPA implementations are identified and implemented based on estimated ROI.
Potential Applications: 1. Streamlining business processes through automation. 2. Enhancing operational efficiency and productivity. 3. Improving decision-making through data-driven insights. 4. Reducing human error and increasing accuracy in repetitive tasks.
Problems Solved: 1. Manual and repetitive tasks are automated. 2. Strategic alignment of RPA operations with business goals. 3. Continuous improvement of RPA effectiveness through AI-guided iterations.
Benefits: 1. Increased efficiency and productivity. 2. Cost savings through automation. 3. Enhanced decision-making based on data insights. 4. Improved accuracy and reduced errors in operations.
Commercial Applications: Optimizing RPA workflows for various industries such as finance, healthcare, and manufacturing to improve operational efficiency and drive business growth.
Questions about Robotic Process Automation (RPA): 1. How does RPA implementation benefit businesses in terms of efficiency and productivity? 2. What role does artificial intelligence play in optimizing RPA workflows?
Original Abstract Submitted
process evolution for robotic process automation (rpa) and rpa workflow micro-optimization are disclosed. initially, an rpa implementation may be scientifically planned, potentially using artificial intelligence (ai). embedded analytics may be used to measure, report, and align rpa operations with strategic business outcomes. rpa may then be implemented by deploying ai skills (e.g., in the form of machine learning (ml) models) through an ai fabric that seamlessly applies, scales, manages ai for rpa workflows of robots. this cycle of planning, measuring, and reporting may be repeated, potentially guided by more and more ai, to iteratively improve the effectiveness of rpa for a business. rpa implementations may also be identified and implemented based on their estimated return on investment (roi).
