Virtual Assistant for Real-Time Error Deciphering and Unblocking
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Solution Overview
Problem
Users encounter errors while interacting with entity applications, receiving generic error messages that do not provide clear reasons for the issues, forcing them to restart or seek assistance, without offering deciphering or unblocking tactics.
Innovation Solution
A system that identifies error messages, uses AI and machine learning to analyze user and entity historic actions, and provides a specific, step-by-step alternate route for error obfuscation through a user-facing virtual system, integrating with a cloud-based analytic rule engine to offer real-time solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If generic error messages are presented to users, then the system complexity is reduced and ease of manufacture is improved, but the user experience deteriorates and loss of information increases
Solution Approach 1:
The patent introduces an intermediary component (error analysis system) that sits between the error occurrence and the user. This system analyzes the raw error, extracts meaningful context, and presents it in a user-friendly format. The intermediary translates technical error data into actionable insights without exposing system complexity to the user.
Solution Approach 2:
The system implements self-service by automatically analyzing errors and generating contextualized explanations without requiring user intervention or support staff involvement. The error message system serves itself by incorporating diagnostic capabilities directly into the messaging mechanism.
2Productivity
If detailed error analysis and alternate routes are provided to users, then user experience is improved and productivity is enhanced, but device complexity and system complexity increase
Solution Approach 1:
The error handling system is segmented into distinct functional modules: error detection, error analysis, alternate route generation, and presentation. Each module performs a specific function, making the overall complex system manageable and maintainable. The segmentation allows the system to provide detailed error analysis without monolithic complexity.
Solution Approach 2:
The system performs preliminary actions by pre-analyzing errors and preparing alternate routes before the user needs them. Error contexts are pre-processed and stored, and multiple potential resolution paths are prepared in advance, allowing rapid response when errors occur without complex real-time computation.
3Loss of time
If real-time error resolution is provided to users, then loss of time is reduced and productivity is improved, but use of energy and computational resources increases
Solution Approach 1:
Error contexts and alternate routes are pre-computed and cached before actual errors occur. When an error happens, the system retrieves pre-prepared information rather than computing everything from scratch, dramatically reducing real-time computational requirements and energy consumption while maintaining fast response times.
Solution Approach 2:
The system performs partial analysis by focusing only on the specific error context that is relevant to the user's current operation, rather than analyzing the entire system state. This selective approach reduces computational overhead while still providing comprehensive error resolution for the specific issue at hand.
Data Source
AI summary
Embodiments of the invention are directed to a system, method, or computer program product for deciphering and unblocking applications in error in real-time. The invention creates, maintains, and continuously updates a back-end database with a rules depository for providing alternative routes for error obfuscation via machine learning and historic action logs. The appropriate alternate route is determined based on workflow and coding. The system integrates a user facing virtual system to provide an assistant launcher in application alerts. In case of failed operations, the user facing virtual system launches in integration with the invention for knowledgeably reiteration of details of the error based on launch point after failure. The system may decipher the error code, provide an alternative resolution path to the user, and execute the flow by assisting the user via the user facing virtual system.