Virtual Collaborative Space for Workflow Exception Handling
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Solution Overview
Problem
Existing intelligent workflow frameworks lack the capability to incorporate human interactions and exceptions during the design and testing phases, limiting the effectiveness of workflow optimization and user experience realization.
Innovation Solution
The creation of a virtual collaborative space within an intelligent workflow framework, where human interactions can occur to test or optimize the existing workflow, is initiated by triggers identified through historical learning models trained from instrumentation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional workflow frameworks are used without virtual collaborative spaces, then automation and efficiency are improved, but human interaction capabilities and exception handling are lost
Solution Approach 1:
A virtual collaborative space is introduced as an intermediary environment between automated workflow execution and human interaction. This virtual space allows human users to join, observe, and interact with workflow scenarios that would otherwise run entirely autonomously, enabling exception handling and collaborative problem-solving without disrupting the automated efficiency of normal operations.
Solution Approach 2:
The system adds a new dimensional layer by creating a virtual collaborative space that exists alongside the traditional workflow framework. This additional dimension allows human participants to engage with workflow scenarios in a controlled virtual environment, providing adaptability and human judgment capabilities without interfering with the core automated workflow processes.
2Reliability
If virtual collaborative spaces are introduced for human interaction, then workflow testing and optimization capabilities are improved, but system complexity increases
Solution Approach 1:
Instead of modifying the core workflow framework to support human interaction, the system creates virtual copies or replicas of workflow scenarios within a collaborative space. These virtual instances allow human users to test, observe, and interact with workflow behavior without affecting the actual production workflow, thereby improving reliability through testing while maintaining system simplicity.
Solution Approach 2:
The system segments workflow interaction into two distinct parts: automated execution in the primary workflow framework and human collaborative testing in the virtual collaborative space. This segmentation allows each component to remain simple and focused on its specific function, reducing overall system complexity while enabling comprehensive workflow testing and optimization.
3Difficulty of detecting and measuring
If triggers are used to initiate virtual collaborative spaces, then automated detection of workflow issues is improved, but response time and resource allocation complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring triggers and virtual collaborative spaces before workflow issues occur. Triggers are established in advance to monitor specific workflow conditions, and when conditions are met, the virtual space is pre-ready for immediate human intervention. This preliminary preparation reduces response time while maintaining accurate automated detection capabilities.
Solution Approach 2:
The system implements feedback mechanisms where triggers monitor workflow conditions and automatically initiate virtual collaborative spaces when anomalies are detected. This closed-loop feedback system improves detection accuracy by continuously monitoring workflow state and responding appropriately, while the automated trigger mechanism minimizes response time through pre-established response protocols.
Data Source
AI summary
A method, computer program product, and computer system for creating a virtual collaborative space within an intelligent workflow framework. One or more processors of a computer system identify the need for a virtual collaborative space where human interactions can occur to test or optimize the existing workflow and identify triggers for when the virtual collaborative space shall be initiated based on historical learning models trained from instrumentation data generated by the workflow. Responsive to a trigger from the identified triggers, the one or more processors of the computer system alert a first user to enter the virtual collaborative space and initiate the virtual collaborative space. The one or more processors of the computer system replicate a scenario that activated the trigger including identifying parties of interest to the scenario and enable the first user to address an issue in the existing workflow that caused the trigger to occur.