GenAI Call List Automation for Wealth Management

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Solution Overview

Problem

Wealth advisors face challenges in leveraging redundant content from meetings with clients, as current technologies do not provide a way to utilize overlapping discussion topics and asset information effectively across multiple client interactions.

Innovation Solution

An apparatus and method that utilize generative artificial intelligence (GenAI) to identify goals from user conversations, associate them with relevant users, generate call scripts, and integrate them into digital calendars, thereby optimizing the discussion of asset management strategies across multiple client meetings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If wealth advisors manually prepare meeting content for each client, then the quality and personalization of advice is maintained, but the time and effort required increases significantly

Engineering Contradiction:

Improveease of preparing meeting contentVSAvoidtime spent generating meeting content

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of meeting transcripts and identifies reusable content segments before actual meeting preparation. By pre-processing and storing meeting content in a structured format with identified themes and assets, the system enables rapid retrieval and adaptation during new meeting preparations, eliminating the need to recreate similar content from scratch

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates standardized templates for common meeting scenarios based on historical meeting patterns. These templates contain pre-structured content frameworks that can be copied and adapted for similar future meetings, allowing advisors to maintain consistency while reducing preparation time for routine discussions

Inventive Principle:

Principle #26Copying

2Reliability

If wealth advisors review all previous meeting content to ensure consistency, then the quality and consistency of advice is improved, but the complexity and time required increases

Engineering Contradiction:

Improveconsistency of wealth management strategiesVSAvoidcomplexity of managing meeting content

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system automatically compares new meeting content against historical meeting transcripts and identifies inconsistencies or conflicting advice. This feedback mechanism alerts advisors to potential inconsistencies before finalizing meeting materials, ensuring reliability without requiring manual review of all previous content

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system creates a centralized repository that serves multiple functions: storing meeting transcripts, identifying reusable content, ensuring consistency across meetings, and providing quick access to relevant information. This single multi-functional platform replaces multiple separate processes for content management and consistency checking

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If wealth advisors leverage redundant content from previous meetings, then productivity and efficiency are improved, but the risk of providing generic or non-personalized advice increases

Engineering Contradiction:

Improveefficiency of wealth advisorsVSAvoidpersonalization of client discussions

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system identifies and extracts specific reusable segments (such as explanations of particular assets or market conditions) from historical meetings and makes them available for targeted insertion into new meetings. This allows advisors to efficiently incorporate proven content while maintaining the ability to customize and adapt to each client's specific situation and questions

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system dynamically adapts template content based on the specific client profile, current market conditions, and the particular meeting context. Rather than using static templates, the system adjusts the reused content in real-time to match the specific needs of each client interaction, maintaining personalization while leveraging historical insights

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250119494A1Automated call list based on similar discussions

Publication Date: 2025.04.10 THE TORONTO DOMINION BANK

AI summary

An example operation may include one or more of receiving content from a conversation between a user on a user device and a second user on a second user device that is connected to the user device via a network, identifying a topic of the conversation based on execution of a generative artificial intelligence (GenAI) model on the received content from the conversation, identifying a call list that is previously stored in memory that is associated with the topic of the conversation based on keywords included in the identified topic of the conversation, and adding an identifier of the user to the call list stored in memory.