GenAI Goal Tracking for Wealth Advisory Redundancy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wealth advisors face challenges in leveraging redundant content from meetings with multiple clients, as current technologies do not provide a way to utilize this overlapping information effectively.
Innovation Solution
An apparatus and method that utilize generative artificial intelligence (GenAI) to identify goals from user conversations, associate these goals with other users, generate call scripts based on the identified goals, and integrate these scripts into digital calendars, thereby optimizing the discussion of redundant content across multiple client meetings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wealth advisors conduct meetings with multiple clients to discuss investment strategies and wealth management, then more clients can receive advisory services, but the redundant content across meetings cannot be leveraged effectively
Solution Approach 1:
The system performs preliminary actions by analyzing conversation transcripts from previous meetings before new meetings occur. The goal tracking module identifies goals discussed in prior meetings and stores them, so that during subsequent meetings the system can automatically retrieve and reference these goals, avoiding redundant discussions and leveraging existing information effectively
Solution Approach 2:
The system implements feedback mechanisms where conversation transcripts from meetings are analyzed to extract goals and client preferences. This feedback is then used to personalize future meeting agendas and discussions, allowing the system to learn from previous interactions and adapt accordingly, thereby reducing redundancy while maintaining personalized service quality
2Ease of operation
If wealth advisors manually track and prepare content for each client meeting, then personalized service quality is maintained, but time consumption increases
Solution Approach 1:
The system performs self-service by automatically analyzing conversation transcripts, extracting goals, and generating personalized meeting agendas without requiring manual intervention from advisors. The goal tracking module autonomously processes meeting content and prepares recommendations, freeing advisors to focus on high-value client interactions rather than administrative preparation tasks
Solution Approach 2:
The patent replaces manual mechanical processes of meeting preparation with automated AI-based systems. The goal tracking module uses natural language processing and machine learning algorithms to automatically extract goals from transcripts and generate meeting agendas, substituting the manual mechanical work of advisors with automated computational processes that achieve the same personalization effect more efficiently
Data Source
AI summary
An example operation may include one or more of receiving a current status of a portfolio of a user and previous actions taken on the portfolio of the user over a predetermined period of time, determining a goal for the user based on execution of a generative artificial intelligence (GenAI) model on the current status of the portfolio of the user and the previous actions taken, receiving a request for the portfolio of the user via a user device, and in response to the request, generating a text-based description of the goal and displaying the text-based description of the goal with portfolio content from the portfolio of the user on a user interface of the user device.