AI Responder for Real-Time IT Failure Management

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing IT management systems require manual intervention for system failure response, limiting automatic measures for unprecedented events and lacking real-time detection and response capabilities.

Innovation Solution

A system that utilizes a smartphone application for real-time detection of IT system failures, employing artificial intelligence for analysis and response, with an automatic control robot accessing the system to implement responses based on learned data from historical IT manager actions, enabling 24/7 management and automatic issue resolution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual intervention is required for system failure response, then IT managers can analyze and respond to events, but response time increases and productivity decreases

Engineering Contradiction:

Improvesystem failure responseVSAvoidresponse efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system enables self-service by having the AI-based responder automatically analyze event alarms, determine appropriate responses, and execute actions without requiring continuous manual intervention from IT managers. The system learns from historical data and autonomously manages incident responses.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of IT managers manually checking alarms and executing responses with an automated AI-based electronic system that uses machine learning models to analyze events and execute appropriate actions automatically.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Extent of automation

If automatic response systems search storage for past responses, then some automation is achieved, but the system cannot respond to unprecedented events

Engineering Contradiction:

Improveautomatic response capabilityVSAvoidresponse to new events

Core Design Contradiction:

Extent of automationVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary action by continuously learning from historical event responses and pre-training AI models to recognize patterns. When new events occur, the pre-trained models can immediately provide responses based on learned patterns, enabling the system to handle unprecedented events without requiring manual retraining.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent applies parameter changes by dynamically updating the AI models' knowledge parameters based on new historical data. The system evolves its response capabilities by adjusting its learning parameters from past incidents, enabling it to adapt to new event types while maintaining automation.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If IT managers manually manage system failures, then detailed analysis can be performed, but 24/7 real-time management is not possible

Engineering Contradiction:

Improveevent analysisVSAvoidmanagement availability

Core Design Contradiction:

Measurement precisionVSDuration of action of stationary object

Solution Approach 1:

The system ensures continuity of useful action by operating continuously without interruption. The AI responder is always active to monitor event alarms, analyze patterns, and execute responses 24/7 without the need for human operators to be physically present or take breaks.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The patent replaces the human mechanical operation of IT managers with an automated AI system that maintains continuous monitoring and response capabilities, eliminating the limitation of human availability while preserving analytical precision through intelligent pattern recognition.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Ease of operation

If the system requires manual response procedures, then flexibility in handling events is maintained, but response time and operational complexity increase

Engineering Contradiction:

Improveresponse procedureVSAvoidresponse time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system implements self-service by automatically executing response procedures without requiring manual intervention. The AI responder independently analyzes events, determines appropriate actions based on learned patterns, and executes responses, eliminating the time loss associated with manual procedural steps.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11815988B2System that automatically responds to event alarms or failures in it management in real time and its operation method

Publication Date: 2023.11.14 REDMANGO INC

AI summary

A system according to an embodiment of the present disclosure automatically responds to event alarms or failures in IT management in real-time and its operation method. The system provides a management object system accumulating responses IT managers made in case of issues including the event alarms, and the failures, wherein data is used as a learning data that suggests response measures for the event alarms or the failures through a status collector, a controller, and a linker, wherein future event alarms or failures, the learning data suggests the responding measures for corresponding phenomenon to the IT managers through a response measure suggester, and wherein responses are automatically made with a responder, where the responder is an artificial intelligence function.