Automated Call Requests With Trigger-Driven Status Updates
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Solution Overview
Problem
Users face challenges in efficiently collecting information from multiple businesses or organizations without human interaction, as existing methods require manual selection and analysis of callees, and often encounter automated phone trees that limit user responses.
Innovation Solution
An automated or semi-automated system, referred to as a 'bot', initiates calls and conducts conversations based on predefined workflows, detecting trigger events to perform tasks such as data collection, appointment scheduling, and information verification, reducing the need for human input and efficiently managing multiple calls simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection and analysis of callees is performed, then accuracy of data collection is improved, but time consumption and labor resources increase
Solution Approach 1:
The system pre-processes and analyzes data to identify potential callees and trigger events before actual calls are made. This preliminary analysis automates the selection process, maintaining accuracy while reducing manual time investment. The system prepares call lists and identifies verification needs in advance, so that when calls are executed, they can be made efficiently without manual intervention for each individual callee selection.
2Productivity
If automated phone trees are used, then call efficiency is improved, but flexibility in user responses is reduced
Solution Approach 1:
The system introduces an intelligent intermediary layer between the automated phone tree and the user. This intermediary (the automated system itself) can interpret various user responses, including natural language variations, and map them to appropriate actions. It mediates between the structured automated system and unstructured human communication, allowing flexible user input while maintaining automated efficiency. The system can handle diverse response types and translate them into meaningful data collection outcomes.
3Reliability
If human operators initiate automated calls, then data verification quality is improved, but resource usage and cost increase
Solution Approach 1:
The system implements self-service automation where the automated system independently performs callee selection, call initiation, data collection, and verification without requiring human operator intervention for each task. The system uses pre-configured workflows, trigger event detection, and automated data processing to maintain verification quality while eliminating the need for human resources in routine operations. Only exceptional cases requiring human judgment would potentially involve operators, significantly reducing overall resource usage.
4Reliability
If multiple calls are managed manually, then individual call quality is maintained, but overall productivity decreases
Solution Approach 1:
The system segments the call management process into independent, automated components: callee identification, call initiation, conversation management, data extraction, and verification. Each component operates autonomously but coordinates with others through standardized interfaces. This segmentation allows parallel processing of multiple calls while maintaining quality through consistent application of verification rules and workflows to each individual call, thereby increasing overall productivity without sacrificing individual call quality.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to synthetic call status updates. In some implementations, a method includes determining, by a task manager module, that a triggering event has occurred to provide a current status of a user call request. The method may then determine, by the task manager module, the current status of the user call request. A representation of the current status of the user call request is generated. Then, the generated representation of the current status of the user call request is provided to the user.