Multi-Agent AI Orchestration for Secure Cross-Platform Personalization
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Solution Overview
Problem
Traditional systems are limited by single-modal communication, security vulnerabilities, and operational inflexibility, failing to provide seamless, personalized experiences across multiple platforms and modalities.
Innovation Solution
An experience management system utilizing a multi-agent framework with a monitoring and orchestrator agent layer to facilitate cross-modal communication, enhance security, and increase operational flexibility by leveraging large language models and knowledge graphs to generate tailored user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional systems use single-modal communication, then system simplicity is maintained, but the quantity and quality of actions for user accounts are limited
Solution Approach 1:
The patent implements a multi-modal communication framework where the communication system can handle multiple types of interactions (text, voice, visual, haptic) simultaneously. This allows the system to perform diverse actions across different user accounts and platforms, transforming a single-function communication channel into a universal interface that adapts to various interaction needs.
Solution Approach 2:
The patent segments the communication system into distinct modalities (text processing, voice recognition, visual analysis, haptic feedback) that can operate independently or in combination. This segmentation allows each modality to be optimized for specific tasks while collectively providing comprehensive action capabilities across multiple user accounts.
2Reliability
If traditional systems implement security measures, then security is improved, but the systems remain vulnerable to malicious attacks and lack flexibility
Solution Approach 1:
The patent implements dynamic security measures that adapt in real-time based on detected threats and system state. Security protocols can be adjusted, intensified, or relaxed dynamically rather than following rigid static rules, allowing the system to maintain high security while preserving operational flexibility for legitimate multi-modal communications.
Solution Approach 2:
The patent introduces intermediary security layers that mediate between threat detection and system response. These intermediaries analyze communication patterns, identify malicious attacks, and coordinate appropriate countermeasures without completely blocking legitimate operations, thus maintaining both security and operational flexibility.
3Adaptability or versatility
If traditional systems collect user data, then user profiling capability is improved, but the systems fail to provide personalized experiences due to operational inflexibility
Solution Approach 1:
The patent changes the parameters of data management by transitioning from static, segregated data storage to dynamic, multi-modal data integration. User data is collected and processed across multiple modalities (behavioral patterns, preferences, interactions) and integrated holistically to enable personalized experiences that adapt to each user's unique characteristics.
Solution Approach 2:
The patent creates a composite data structure that integrates information from multiple sources and modalities. Rather than maintaining separate data silos, the system combines user behavior data, interaction patterns, preferences, and contextual information into a unified profile that enables comprehensive personalization across different communication channels.
4Adaptability or versatility
If traditional systems integrate multiple platforms, then cross-platform capability is improved, but burdensome integration steps and data transformation are required
Solution Approach 1:
The patent creates a universal integration framework that can communicate with multiple platforms through standardized multi-modal interfaces. This universal layer eliminates the need for separate integration steps for each platform, as the system can adapt to different platforms through the same unified communication protocol.
Solution Approach 2:
The patent implements virtual representations or copies of platform interfaces that allow seamless data exchange without actual data transformation. Instead of converting data between different platform formats, the system creates virtual models of platform interactions that preserve data integrity while enabling cross-platform communication.
Data Source
AI summary
One or more embodiments described herein include an experience management system that uses a centrally hosted agent architecture that leverages artificial intelligence models to accomplish inter-platform and cross-platform tasks to create personalized experiences throughout a user’s product or service journey. Indeed, the experience management system hosts and coordinates a multi-agent framework that receives user input or a user status, creates prompts from the user input or status to request other agents to perform tasks or subtasks related to providing a result and/or response to a user’s client device. In addition, the experience management system can access a knowledge graph containing user data to incorporate the user data during the coordination of responding to the user. Thus, when the knowledge graph is leveraged by the multi-agent framework, the experience management system can generate personalized and customized experiences for a user.