Call Management System Enriching Outgoing Calls with Voice-Derived Context
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Solution Overview
Problem
The rise in spam calls has led to phone users ignoring legitimate calls from unknown numbers, resulting in business losses and service interruptions due to a lack of capability for callers to provide additional information to intended recipients.
Innovation Solution
Methods and systems for call management that allow rich call data to be inserted into outgoing calls, determined based on one or more voice inputs, and configured to provide additional information about the call to the intended recipient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If recipients ignore calls from unknown numbers to reduce exposure to spam, then security against scams is improved, but legitimate business calls are lost
Solution Approach 1:
The patent introduces an intermediary system (call management system) that sits between the caller and recipient. This intermediary enriches the call with additional context data before delivery, allowing recipients to make informed decisions without automatically blocking legitimate calls. The system acts as a mediator that provides filtering intelligence without enforcing automatic rejection.
Solution Approach 2:
The system performs preliminary enrichment of call data before the call reaches the recipient. By pre-processing and adding context information (such as caller identity, purpose, and verification data) in advance, the system enables recipients to recognize legitimate calls before answering, preventing both spam and missed legitimate calls.
2Loss of information
If callers provide additional information about the call, then recipient recognition of legitimate calls is improved, but system complexity increases
Solution Approach 1:
The call management system is designed as a universal platform that handles multiple functions: data collection from callers, data enrichment, validation, and integration with existing telephony infrastructure. This multi-functional design consolidates complexity into a single system rather than requiring separate solutions for each function.
Solution Approach 2:
The system enables callers to provide information through simple self-service interactions (such as voice prompts or automated forms) without requiring complex manual processes. Callers can naturally provide context information through standard call interfaces, and the system automatically processes and enriches this data without requiring recipient intervention or complex caller actions.
Data Source
AI summary
Methods and systems for call management are described. Rich call data may be inserted into an outgoing call. The rich call data may be determined based on one or more voice inputs. The rich call data may be configured to provide additional information about the call to the intended recipient.