AI Agent Request Routing Rules Engine for Enterprise Access Control
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Solution Overview
Problem
Current systems lack the capability to intelligently route user requests to the appropriate AI endpoint based on the content and context of the request, leading to inefficiencies and potential violations of data access protocols due to misallocation of enterprise resources and unauthorized access to sensitive information.
Innovation Solution
A rules engine that evaluates user requests based on management rules, user preferences, and contextual details to determine the most appropriate AI Model, incorporating determinative and non-determinative scores, and engages a specialized routing AI Model for nuanced analysis, ensuring compliance with enterprise policies and user intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users can access both personal and managed AI model endpoints freely, then user convenience and accessibility are improved, but resource misallocation and unauthorized data access occur
Solution Approach 1:
The patent introduces an intermediary component (rules engine or routing mechanism) that sits between the user and the AI model endpoints. This intermediary evaluates user requests, checks access permissions, and routes requests to appropriate endpoints, thereby maintaining ease of access while ensuring security and preventing unauthorized data access.
Solution Approach 2:
The system performs preliminary evaluation of user requests before they reach the AI model endpoints. By checking user permissions, request context, and endpoint appropriateness in advance, the system prevents misallocation of resources and unauthorized access to sensitive data while maintaining user convenience.
2Productivity
If enterprise AI resources are made available for all user requests, then resource utilization increases, but unnecessary consumption and cost increase occur
Solution Approach 1:
The patent applies local quality by making AI resource availability context-dependent rather than universally available. The system evaluates each request's specific characteristics (user role, request type, sensitivity) and provides access to enterprise AI resources only where appropriate, thereby optimizing resource utilization while preventing waste.
Solution Approach 2:
The system dynamically adjusts resource allocation based on real-time evaluation of user requests. Rather than statically allocating enterprise AI resources to all users, the system adapts resource availability according to the specific context of each request, ensuring resources are used productively without unnecessary consumption.
3Device complexity
If a simple routing mechanism is used, then system complexity is reduced, but intelligent request routing and compliance enforcement are compromised
Solution Approach 1:
The patent segments the routing system into distinct functional components (e.g., rules engine, evaluation module, routing logic) that can operate independently but work together. This segmentation allows the system to maintain intelligence and compliance enforcement capabilities while managing complexity through modular design, where each component handles specific aspects of the routing decision.
Data Source
AI summary
The invention provides a rules engine that manages user requests within an interface integrating multiple AI platforms and AI Models. Upon receiving a query, the engine assigns scores based on factors like management rules, user preferences, and contextual information. Determinative scores, such as those enforcing strict enterprise policies, can override others, leading the engine to block or reroute the query. If no score is determinative, the engine forwards the query and associated prompts to a specialized routing AI Model for contextual analysis. Based on this analysis, the rules engine directs the query to the most appropriate AI Model or defaults to the user-designated AI Model. This system balances user intent with rule enforcement, optimizing query processing across various AI platforms while ensuring compliance with enterprise guidelines.