Proactive Listening Bot for Robo-Human Advice Transitions

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Solution Overview

Problem

Current technologies fail to efficiently integrate robo-advising with human advising, lacking the ability to understand user needs, adapt to changing circumstances, and facilitate seamless transitions between the two, leading to inefficient and time-consuming interactions for financial assistance.

Innovation Solution

A system and method that integrates robo-advising with human advising by using pervasive listening bots to capture ambient sounds, identify financial goals and needs, and facilitate transitions between robo-advising and human advising based on triggers, reducing the need for manual user input and enhancing efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a person seeks financial advice by contacting a professional directly, then they can receive expert guidance, but the process becomes time-consuming and inefficient due to scheduling and explanation requirements

Engineering Contradiction:

Improvequality of financial adviceVSAvoidtime to obtain advice

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by proactively monitoring user conversations and financial data to identify needs before the user actively seeks advice. The bot listens to conversations, detects financial goals or concerns, and prepares personalized advice or schedules advisor meetings in advance, eliminating the need for users to initiate the advice-seeking process and reducing time delays.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The proactive listening bot serves as an intermediary between users and financial advisors. It continuously monitors user conversations and financial data, identifies when professional advice is needed, and automatically connects users with appropriate advisors. This intermediary function eliminates the inefficiency of direct user-initiated contact while ensuring users receive timely expert guidance.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If a system proactively monitors user conversations to identify financial needs, then it can provide timely and relevant advice, but the complexity of the system increases due to continuous monitoring and analysis requirements

Engineering Contradiction:

Improvespeed of identifying user needsVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system employs self-service mechanisms where the listening bot autonomously monitors conversations, analyzes financial needs using natural language processing, and executes appropriate actions such as providing immediate advice or scheduling advisor meetings without requiring manual intervention. This self-service capability enables rapid identification of user needs while managing system complexity through automated decision-making protocols.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where the bot monitors user conversations, receives feedback on user responses and financial data changes, and adjusts its monitoring and analysis strategies accordingly. This feedback mechanism enables the system to improve its accuracy in identifying financial needs over time while maintaining manageable complexity through adaptive learning rather than rigid complex architectures.

Inventive Principle:

Principle #23Feedback

3Productivity

If financial advice is provided through automated robo-advising, then efficiency and accessibility improve, but the ability to handle complex or nuanced situations diminishes

Engineering Contradiction:

Improveefficiency of advice deliveryVSAvoidhandling of complex financial situations

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system merges robo-advising automation with human advisor expertise by having the listening bot handle routine monitoring, data collection, and simple advice delivery while automatically escalating complex or nuanced situations to human advisors. This hybrid approach combines the efficiency and accessibility of automated systems with the adaptability and versatility of human professionals, allowing the system to handle both simple and complex financial situations effectively.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system dynamically adjusts its advice-delivery mode based on the complexity of the situation. For routine financial queries and straightforward advice needs, it operates in automated robo-advising mode for high efficiency. When it detects complex, nuanced, or emotionally charged financial situations through conversation analysis, it dynamically transitions to human advisor involvement, ensuring adaptability while maintaining overall system efficiency.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20260112369A1Systems and methods for proactive listening bot-plus person advice chaining

Publication Date: 2026.04.23 WELLS FARGO BANK NA

AI summary

Systems, methods, and devices provide a user experience capable of integrating robo-advising with human advising based on various inputs that are actively detected. Inputs from a conversation, or multiple conversations separated in time, may be analyzed to determine, based on voice inputs, that live communications should be initiated. Based on triggers identified, a robo-advising session may additionally or alternatively be initiated. Transitions between advising sessions may be facilitated to allow users to more efficiently employ robo-advising until human advising is triggered.