Generative AI Live Session Moderation for Agenda Deviation Control

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Solution Overview

Problem

Conducting live sessions requires significant preparation and management efforts, including content planning, handling unexpected speaker cancellations, impromptu questions, and maintaining session focus, which can be challenging due to audience participation and unpredictable speakers.

Innovation Solution

A generative AI engine dynamically plans and executes live sessions by generating agendas, assigning topics and users, providing talking points, and monitoring conversations to maintain session structure and relevance, using speech and text analysis for real-time adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a moderator manually creates content creation plans and manages live sessions, then session structure and information accuracy can be maintained, but preparation time and energy requirements increase significantly

Engineering Contradiction:

Improvesession structure maintenanceVSAvoidpreparation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by having the AI agent autonomously create content creation plans, assign speakers, generate talking points, and manage session flow without requiring extensive manual preparation from the moderator. The AI agent serves itself by automatically handling routine session management tasks.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of creating content plans, researching topics, and coordinating speakers with an AI-based automated system. The AI agent uses natural language processing and generative models to perform these tasks that previously required significant human time and effort.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If speakers prepare manually for impromptu questions, then answer accuracy can be maintained, but preparation effort and time increase

Engineering Contradiction:

Improveanswer accuracyVSAvoidpreparation effort

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The AI agent performs preliminary action by generating comprehensive talking points and potential Q&A pairs before the live session occurs. It anticipates possible questions and prepares structured responses, allowing speakers to focus on delivery rather than preparation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The AI agent acts as an intermediary between the session goals and the speakers. It translates high-level session objectives into specific talking points and anticipated questions, serving as a bridge that reduces the preparation burden on individual speakers while maintaining answer accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If audience participation is encouraged, then engagement and relevance improve, but session focus may deviate from established goals

Engineering Contradiction:

Improveaudience engagementVSAvoidsession focus

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The AI agent continuously monitors the live session and provides feedback on whether the conversation remains aligned with session goals. It can detect when audience participation is causing deviation and gently guide the conversation back to relevant topics, maintaining both engagement and focus.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system introduces dynamics by allowing the AI agent to adapt the session flow in real-time based on audience interaction while maintaining overall structural integrity. It dynamically adjusts talking points and question priorities based on actual audience interest while preserving the established session framework.

Inventive Principle:

Principle #15Dynamics

4Adaptability or versatility

If multiple speakers are assigned to topics, then content coverage improves, but coordination complexity and time management difficulty increase

Engineering Contradiction:

Improvecontent coverageVSAvoidcoordination complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The AI agent applies segmentation by dividing the overall session content into distinct topics and assigning specific speakers to specific segments. It creates a structured breakdown of content coverage, making it easier to manage multiple speakers by treating each segment independently with clear ownership and timing.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260037885A1Intelligent method and apparatus to augment moderator in live session leveraging generative artificial intelligence

Publication Date: 2026.02.05 BANK OF AMERICA CORP

AI summary

A method for dynamically augmenting a live session leveraging a generative AI engine is provided. The method may include receiving information relating to topics for discussion during the live session, an amount of time for conducting the live session and users to present the topics. The method may include generating, by the generative AI engine, an agenda for the live session based on the received information. The method may include selecting a sensitivity level for the live session. The method may include selecting sources to link to the agenda. Methods may include executing the live session by the generative AI engine. Methods may include monitoring the live session. Methods may include deploying a corrective action based on a detection of a deviation from the agenda.