AI Dynamic Orchestration Engine for Service Requests

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Solution Overview

Problem

Conventional systems lack the capability to dynamically process application service requests, leading to inefficiencies and prolonged issue resolution times, especially when multiple applications are affected, resulting in potential failures of dependent applications.

Innovation Solution

A system comprising a dynamic orchestration engine, an entity system, and a computing device system that uses an artificial intelligence engine to identify and implement optimal variants for processing application service requests based on context, environment, and success rates, dynamically updating procedures and storing errors for improved future processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional systems are used to process application service requests, then system simplicity is maintained, but resolution time increases and productivity decreases

Engineering Contradiction:

Improverequest resolution efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables self-service through automated AI-driven decision making where the orchestration engine autonomously selects and executes optimal variants without human intervention. The AI engine processes requests, evaluates multiple variants, and implements actions automatically, allowing the system to serve itself and eliminating manual processing requirements.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processing with AI-based automated systems. The AI engine substitutes human decision-making mechanisms with machine learning models that automatically analyze requests, evaluate variants, and execute actions, thereby increasing productivity while managing complexity through intelligent automation rather than manual operations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If dynamic processing with multiple variants is implemented, then adaptability improves, but device complexity increases

Engineering Contradiction:

Improveprocessing flexibilityVSAvoidorchestration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements dynamics by enabling the orchestration engine to adapt its processing approach in real-time based on request characteristics, environment conditions, and historical performance data. The AI engine dynamically selects optimal variants rather than following fixed procedures, allowing the system to respond flexibly to changing conditions while managing complexity through intelligent adaptation.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies parameter changes by modifying processing parameters such as selection criteria, execution priorities, and variant evaluation metrics based on contextual factors. The AI engine adjusts these parameters dynamically according to request type, environment state, and historical success rates, enabling high adaptability while managing complexity through data-driven parameter optimization.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If AI-based optimal variant selection is implemented, then success rate improves, but use of energy increases

Engineering Contradiction:

Improveprocessing success rateVSAvoidcomputational energy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by evaluating only the necessary subset of variants rather than exhaustively analyzing all possible options. The AI engine uses intelligent filtering and prioritization to select and execute only the most promising variants, reducing computational energy consumption while maintaining high success rates through targeted rather than comprehensive processing.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent implements feedback mechanisms where the AI engine learns from historical success rates and outcome data to optimize future variant selections. This feedback loop enables the system to improve reliability over time by leveraging past performance information, thereby reducing the need for extensive computational analysis of each individual request and lowering overall energy consumption.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11783209B2Artificial intelligence based dynamic orchestration engine for automatically processing application service requests

Publication Date: 2023.10.10 BANK OF AMERICA CORP

AI summary

Embodiments of the present invention provide a system for dynamically processing application service requests. The system is configured for receives an application service request from at least one channel, where the application service request is associated with an application of one or more applications associated with an entity, extracts one or more variants of standard operating procedure associated with the application service request, wherein the one or more variants are solutions associated with processing the application service request, determines, via an artificial intelligence engine, an optimal variant from the one or more variants to process the application service request, and implements one or more actions associated with the optimal variant to process the application service request.