Robot-Guided Operations for Cross-Platform Onboarding Automation
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Solution Overview
Problem
Conventional onboarding and training programs are resource-intensive and often cumbersome, as they rely on document-based solutions that are application-specific, incomplete, and quickly become outdated, failing to efficiently automate skills development across disparate systems and applications.
Innovation Solution
A robot engine is implemented to perform robotic process automation, initiating and monitoring guided operations across multiple platforms, enabling automated multi-step manipulations and transitions between platforms, thus supporting digital adoption and guided automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If document-based solutions are used for onboarding and training, then employees can access training materials, but the solutions become cumbersome, application-specific, and quickly outdated
Solution Approach 1:
The patent creates a universal training system that works across multiple applications and platforms simultaneously. The system uses platform-agnostic methods to deliver training content, allowing the same training program to function across different software systems without requiring application-specific documentation for each platform.
Solution Approach 2:
The patent introduces an intermediary training platform that sits between the employee and various application systems. This intermediary layer translates and adapts training content to work across different applications, eliminating the need for separate document-based solutions for each system while maintaining accessibility.
2Extent of automation
If conventional automation is applied to specific processes in separate systems, then individual tasks can be automated, but the systems remain siloed and resources are still burdened
Solution Approach 1:
The patent merges multiple separate automation systems into a unified training platform. By combining previously siloed automation efforts across different applications into a single integrated system, the patent reduces overall system complexity while maintaining comprehensive automation capabilities across all training-related processes.
Solution Approach 2:
The patent creates a universal automation platform that can handle multiple training tasks across different applications through a single system. This multi-functional approach eliminates the need for separate automation solutions for each application, reducing device complexity while extending automation to encompass the entire training workflow.
3Adaptability or versatility
If comprehensive training programs are provided across multiple platforms, then employee skill development is enhanced, but resource consumption increases
Solution Approach 1:
The patent implements a universal training system that delivers comprehensive multi-platform training through a single resource-efficient platform. By creating one adaptable training system rather than multiple platform-specific programs, the patent achieves broad coverage across different applications while minimizing resource consumption through consolidation and reuse of training content.
Data Source
AI summary
A method is disclosed. The method is implemented by a robot engine that is stored as program code on a memory of a system. The program code is executed by a processor of the system, which enables robotic process automations of the robot engine. The processor is communicatively coupled to the memory within the system. The method includes initiating a guided operation of a platform presented by the system and monitoring the guided operation to observe an interaction with the platform or to receive a direct input by the robot engine. The method also includes executing a backend operation with respect to the interaction or the direct input.