AI Task Generation from Virtual Communications Across Channels
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Solution Overview
Problem
Users face challenges in efficiently tracking and managing tasks arising from virtual communications, such as voicemails, emails, and chat messages, which can be time-consuming and difficult to organize across different channels.
Innovation Solution
A communication platform employs a pre-trained generative AI model to automatically generate and aggregate task items from virtual communication data, including voicemail messages, text messages, and emails, based on user-defined instructions, with content moderation to filter inappropriate content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review and organize virtual communications to track tasks, then task accuracy is improved, but time consumption increases
Solution Approach 1:
The system enables self-service by having the AI model automatically generate, extract, and organize task items from virtual communications without requiring manual user intervention. The AI autonomously processes communications across multiple channels and creates structured task lists that users can directly interact with and update.
Solution Approach 2:
The patent replaces the mechanical manual process of reviewing and organizing communications with an automated AI-based system. The generative AI model substitutes human cognitive processing to extract tasks from unstructured communication data, transforming a manual mechanical operation into an automated intelligent system.
2Reliability
If users manually track tasks across different communication channels, then task completeness is improved, but ease of operation deteriorates
Solution Approach 1:
The system merges multiple communication channels (email, chat, voicemail, etc.) into a unified task management interface. The AI aggregates task items from diverse communication sources and presents them in a single organized list, eliminating the need for users to manually navigate and consolidate across different platforms.
Solution Approach 2:
The task generation engine provides universal functionality by processing various types of virtual communications and converting them into standardized task items. This multi-functional system handles different communication formats and channels through a single unified approach, improving both completeness and ease of operation.
3Productivity
If AI generates task items automatically, then productivity is improved, but content safety risks increase
Solution Approach 1:
The system introduces content moderation as an intermediary layer between the AI task generation and the final output to users. This mediator component reviews and filters content generated by the AI model, blocking or modifying potentially harmful outputs while allowing safe content to pass through, thus enabling productivity while mitigating safety risks.
Solution Approach 2:
The content moderation system provides feedback mechanisms that monitor and evaluate AI-generated task items in real-time. This feedback loop allows the system to identify and correct safety issues, ensuring that only appropriate content is presented to users while maintaining the productivity benefits of automated generation.
Data Source
AI summary
Example methods and systems for automatic task generation are provided. A communication platform receives an instruction to generate one or more task items associated with a virtual communication session related to a user. The communication platform accesses virtual communication data associated with the virtual communication session. The communication platform generates a task item based on the virtual communication data using a generative artificial intelligence (AI) model. The communication platform provides the task item to the user.