AI Response Compilation Through Smart Routing and Task Segmentation

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Solution Overview

Problem

Conventional AI systems lack objective methods for optimizing task allocation to AI systems, leading to inefficient resource usage and potential data security breaches due to subjective human judgment and lack of oversight.

Innovation Solution

A smart routing system that includes a request receiver, smart router, and smart compiler to analyze and segment tasks, dynamically route them to optimized AI systems based on objective metrics, and integrate responses, while ensuring compliance and security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually select and prompt multiple specialized AI systems for complex tasks, then task completion is possible, but resource usage increases and efficiency decreases

Engineering Contradiction:

Improvetask completion efficiencyVSAvoidcomputing resource burden

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system segments complex tasks into subtasks and automatically routes them to appropriate AI systems. The smart router divides the task workflow into manageable components, each handled by specialized AI systems, eliminating the need for users to manually manage multiple systems while optimizing resource allocation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a smart routing system as an intermediary between users and multiple AI systems. This mediator automatically manages task distribution, system selection, and response compilation, reducing the computational burden on users while maintaining efficient utilization of AI system resources.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If users subjectively judge which AI system to use for each subtask, then task execution is possible, but reliability decreases due to lack of objective optimization

Engineering Contradiction:

Improveoptimal AI system selectionVSAvoiduser effort in system selection

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The smart routing system incorporates feedback mechanisms that monitor AI system performance, availability, and suitability for specific subtasks. This objective feedback loop enables reliable automated decision-making about which AI system should handle each task component, eliminating subjective user judgment while maintaining ease of operation.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system enables AI systems to effectively select themselves for appropriate tasks through automated routing. The smart router evaluates task requirements and matches them with suitable AI systems based on objective criteria, allowing the system to self-optimize without requiring user expertise or manual intervention.

Inventive Principle:

Principle #25Self-service

3Adaptability or versatility

If multiple AI systems are used for complex tasks, then task capability increases, but device complexity increases

Engineering Contradiction:

Improvetask handling capabilityVSAvoidsystem integration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The smart routing system provides a universal interface that handles multiple AI systems through a single unified platform. This multi-functional router can manage diverse AI systems, task types, and communication protocols through consistent mechanisms, increasing adaptability while masking the underlying complexity from users.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Productivity

If users manually compile responses from multiple AI systems, then task completion is possible, but loss of time increases

Engineering Contradiction:

Improveresponse compilation speedVSAvoiduser time for task management

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The smart routing system performs self-service by automatically compiling and integrating responses from multiple AI systems. The smart compiler component gathers results from different AI systems, synthesizes them into a coherent final response, and delivers it to the user without requiring manual intervention, thereby eliminating time loss while maintaining high productivity.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250299068A1Systems and methods for intelligently compiling responses from ai systems

Publication Date: 2025.09.25 WELLS FARGO BANK NA

AI summary

Systems, apparatuses, methods, and computer program products are disclosed for compiling AI system outputs into unified responses. An example method includes receiving response data that is representative of one or more AI system outputs. The example method further includes identifying a task request associated with the response data. The example method further includes generating a unified response associated with the task request. The example method further includes causing transmission of the unified response to a user device associated with the task request. The example method may further include determining an AI system server that transmitted the response data.