AI Fault Resolution Server with Automated Notification Routing

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Solution Overview

Problem

Businesses face inefficiencies in managing and resolving IT incidents due to limited resources and the complexity of their IT landscapes, with manual processes being costly and time-consuming, especially in delivering notifications to the appropriate support teams and contacts.

Innovation Solution

An automated resolution and notification server system that includes a recognition module for selecting contact groups, an arbiter module for determining fault priority and validity, and an auto-resolution module for executing automated fault resolution procedures, reducing the need for manual intervention and optimizing notification delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual processes are used to investigate and resolve IT incidents, then human expertise can be applied to complex issues, but the process becomes costly and time-consuming with limited scalability

Engineering Contradiction:

Improvefault resolution qualityVSAvoidfault resolution speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system enables self-service through automated fault detection, classification, and resolution mechanisms. The fault monitoring server automatically detects incidents, the recognition module autonomously classifies them, and the auto-resolution module executes predefined remediation actions without human intervention, allowing the IT infrastructure to resolve itself

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical processes of fault investigation and resolution are replaced with an automated electronic system. The recognition module uses automated algorithms to classify faults, the arbiter module electronically determines routing, and the auto-resolution module executes automated remediation, substituting human manual operations with electronic automation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If extensive human resources are deployed to manage and resolve IT incidents, then complex incidents can be investigated thoroughly, but the cost and resource requirements increase significantly

Engineering Contradiction:

Improveincident management qualityVSAvoidhuman resources required

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system reduces dependency on human resources by enabling self-service capabilities. Automated fault detection, classification, and resolution mechanisms allow the system to manage itself without requiring extensive human intervention, thereby reducing the quantity of human resources needed while maintaining management quality

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Human expertise is captured and replicated through automated algorithms and machine learning models. The recognition module learns from historical fault data to replicate expert classification capabilities, and the auto-resolution module replicates expert remediation actions, allowing the system to perform complex incident management without requiring proportional human resources

Inventive Principle:

Principle #26Copying

3Productivity

If automated resolution procedures are implemented, then fault resolution speed and efficiency improve, but the complexity of the system increases

Engineering Contradiction:

Improvefault resolution speedVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated resolution system is divided into distinct modular components: the fault monitoring server for detection, the recognition module for classification, the arbiter module for routing decisions, and the auto-resolution module for remediation. Each module performs a specific function independently, making the overall complex system manageable through segmentation into manageable parts

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The arbiter module serves as an intermediary between the recognition module and the auto-resolution module. It receives classified fault information, determines the appropriate resolution approach, and routes to the suitable resolution procedures, thereby managing the complexity of coordinating multiple automated components through a central mediating element

Inventive Principle:

Principle #24Intermediary (Mediator)

4Reliability

If notification delivery is manual, then proper routing to support teams can be ensured, but the process becomes burdensome and inefficient with increasing incident volume

Engineering Contradiction:

Improvenotification routing accuracyVSAvoidnotification delivery time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

Manual notification delivery processes are replaced with automated electronic notification mechanisms. The system electronically routes notifications to appropriate support teams and stakeholders based on fault classification and severity, eliminating manual delivery steps and significantly reducing notification delivery time while maintaining accurate routing through automated decision logic

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10162699B2Artificial intelligence for resolution and notification of a fault detected by information technology fault monitoring

Publication Date: 2018.12.25 SECURE 24 LLC

AI summary

A resolution and notification server and computer-implemented techniques implemented on the same are disclosed for providing automated resolution and notification of a fault detected about a device monitored by an information technology (IT) fault monitoring server.