AI-Based Communication Channel Generation from Workflow Analytics
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Solution Overview
Problem
Existing corporate communication systems, such as email and social media tools, fail to efficiently route messages in large organizations due to reliance on individual judgment, leading to overwhelming noise and ineffective communication channels.
Innovation Solution
An AI-based system that uses machine learning to automatically generate communication channels based on workflow data, identifying critical entities as pivots and associating them with communication channels, allowing stakeholders to communicate efficiently about these entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If email is used as the communication model, then individual flexibility is maintained, but communication efficiency deteriorates due to exponential noise growth in large organizations
Solution Approach 1:
The patent introduces an AI-based intermediary system that automatically analyzes email content, determines appropriate recipients using natural language processing and organizational hierarchy data, and routes messages accordingly. This intermediary eliminates the need for manual routing decisions while maintaining communication effectiveness, resolving the contradiction between individual flexibility and communication efficiency in large organizations.
2Productivity
If social media tools are adopted for corporate communication, then subject matter organization improves, but channel management complexity increases making it impossible in modern organizations
Solution Approach 1:
The patent implements self-service automation where the AI system automatically creates, manages, and organizes communication channels based on subject matter without requiring manual intervention. The system autonomously analyzes communication patterns, identifies relevant topics, and structures channels accordingly, eliminating the complexity of manual channel management while maintaining effective subject matter organization.
Solution Approach 2:
The patent replaces the mechanical manual process of channel creation and management with an AI-based automated system that uses natural language processing and machine learning to organize communications by subject matter. This substitution eliminates the complexity burden on users while preserving the benefits of structured communication.
3Ease of operation
If individuals create channels at will, then communication freedom is maintained, but channel overlap and overwhelming numbers occur
Solution Approach 1:
The patent implements preliminary action by having the AI system pre-analyze organizational structure, communication patterns, and subject matter relationships before channel creation occurs. This allows the system to automatically generate an optimized channel structure in advance that prevents overlap and manages complexity, while still allowing individuals to communicate freely within the predefined framework.
Data Source
AI summary
AI-based system for establishing channelized communications and resource management for an organization. The system includes: a processor of a channel server node connected to an organization network; a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: monitor the at least one organization network to collect analytics data comprising workflow data, generate a plurality of classifiers based on the analytics data, the plurality of classifiers comprising data reflecting nodes and associated pivot objects of the at least one organization network, feed the plurality of classifiers to an AI/ML module configured to output configuration parameters for at least one communication channel; and generate the at least one communication channel for the at least one organization network based on the configuration parameters.