Conversational Agent for Automated System Troubleshooting
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Solution Overview
Problem
Current information technology environments are complex and require expertise to manage, leading to laborious and costly troubleshooting processes when users encounter issues, as end users often lack the necessary knowledge or resources to resolve problems independently.
Innovation Solution
A method involving a conversational software agent that interacts with users and support personnel in natural language, utilizing analytics engines and knowledge bases to identify issues, provide insights, and automate troubleshooting processes, reducing the need for manual intervention and streamlining problem resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If end users attempt to troubleshoot and resolve system issues independently, then user autonomy and immediate problem resolution are improved, but the complexity of required expertise and knowledge increases beyond user capabilities
Solution Approach 1:
A software agent acts as an intermediary between end users and support personnel, equipped with expertise in troubleshooting. The agent receives user descriptions of issues, autonomously investigates problems by gathering system data, and resolves issues without requiring users to possess technical knowledge. This mediator bridges the gap between user capability limitations and complex troubleshooting requirements.
Solution Approach 2:
The software agent enables self-service troubleshooting by autonomously investigating and resolving system issues without human intervention. The agent independently gathers diagnostic data, analyzes problems, implements corrective actions, and only contacts support personnel when necessary, allowing users to benefit from expert-level self-diagnosis and self-repair capabilities.
2Reliability
If support personnel intervene to resolve system issues, then problem resolution expertise is applied, but labor costs and time consumption increase
Solution Approach 1:
The software agent performs preliminary troubleshooting actions autonomously before involving support personnel. It automatically gathers system data, diagnoses issues, and implements standard corrective measures, reserving human support intervention for complex cases that require expert judgment. This preliminary automation reduces the volume of routine support tickets and optimizes support personnel productivity.
Solution Approach 2:
The software agent continuously monitors system performance and user interactions, using feedback loops to learn from resolved and unresolved issues. This feedback mechanism improves the agent's diagnostic accuracy and problem-resolution effectiveness over time, maintaining high reliability while reducing the need for human support intervention.
3Difficulty of detecting and measuring
If analytical tools are deployed to identify anomalous system conditions, then detection capability is improved, but the complexity of tool operation and interpretation increases
Solution Approach 1:
The software agent autonomously performs anomaly detection and interpretation without requiring user interaction. It automatically collects system data, analyzes performance metrics, identifies anomalous conditions, and interprets their meaning in plain language for users. This self-service approach provides advanced detection capabilities while eliminating the complexity of tool operation and data interpretation for end users.
Data Source
AI summary
A method of troubleshooting an application includes receiving, from an analytics engine, data representing a performance metric of the application and a tenant identifier associated with the application; sending, to the analytics service, a request to receive at least one user identifier associated with the tenant identifier; receiving, from the analytics service, at least one user identifier; selecting, from a database, a message based at least in part on the performance metric of the application; and sending the message to the application associated with the at least one user identifier.