Automation Platform Identifying Process Opportunities
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Solution Overview
Problem
Current methods for identifying automation opportunities in computer processes are prone to subjective analysis and fail to consider deviations from standard steps, leading to inefficient automation implementations that may not provide significant return on investment.
Innovation Solution
A system deploying data collection agents across computing devices to record activities, transmit data to a central server for processing, and apply data science algorithms to visualize and cluster automatable processes, generating software code for automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual process mapping methods are used, then automation opportunities can be identified, but the analysis is prone to subjective bias and may miss deviations from standard processes
Solution Approach 1:
The system enables automated self-monitoring of computer processes by deploying agents that autonomously collect, transmit, and analyze process data without requiring manual intervention from process architects, thereby eliminating subjective bias while maintaining identification accuracy
Solution Approach 2:
The patent replaces manual mechanical process mapping with automated electronic data collection agents and algorithmic analysis, substituting human subjective analysis with objective computational methods that can accurately capture process deviations and variations
2Measurement precision
If comprehensive process data is collected and analyzed, then automation opportunities can be accurately identified, but the time and effort required for analysis increases
Solution Approach 1:
The system performs preliminary automated data collection and continuous monitoring of computer processes, preparing and organizing process data in advance so that automation opportunity identification can be rapidly executed without time-consuming manual analysis when needed
Solution Approach 2:
The patent replaces time-consuming manual process analysis with automated algorithmic evaluation of collected process data, enabling rapid identification of automation opportunities through computational methods that process large volumes of data instantaneously
3Ease of operation
If manual process review is conducted by process architects, then automation opportunities can be identified, but the results are biased by interviewer and interviewee perspectives
Solution Approach 1:
The system enables automated self-monitoring and self-analysis of computer processes through deployed agents that independently collect and evaluate process data without human intervention, eliminating the subjective bias inherent in manual process architect reviews while maintaining operational simplicity
Solution Approach 2:
The patent replaces manual process mapping by process architects with automated electronic data collection and algorithmic analysis, substituting human subjective judgment with objective computational evaluation that eliminates interviewer and interviewee bias
Data Source
AI summary
Systems and methods for implementing an automation platform that is configured to analyze computing activities from a plurality of users so as to identify potential automation processes is provided. In one or more examples, a plurality of data collection agents are deployed across a plurality of computing devices and can be configured to collect and record activities performed on the computing device by one or more users of the computing devices. In one or more examples, each agent deployed on a computing device can be configured to transmit the collected data to a central server that can store the collected data in memory. The central server can be configured to collect the data from each agent and can be configured to apply one or more data science algorithms that can be configured to cluster various activities collected by the agents into groups for potential automation.