AI-Mediated Support Calls with Real-Time Client Validation

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Solution Overview

Problem

Traditional telephonic interactions between customer support agents and customers are inefficient, prone to errors, and lack real-time monitoring and validation, leading to confusion and frustration.

Innovation Solution

Implementing AI-driven conversational assistance that transcribes and records calls, provides real-time updates and summaries, and allows clients to visually and audibly validate information, while automating agent interactions and navigation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional telephonic interactions are used between customer support agents and customers, then the communication can be maintained with minimal technology, but the interactions become inefficient and prone to errors

Engineering Contradiction:

Improveinteraction efficiencyVSAvoiderror rate

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent introduces AI as an intermediary system that mediates between the agent and customer. The AI assistant transcribes conversations, provides real-time guidance, validates information, and monitors interactions, thereby improving efficiency and reducing errors without requiring complex multi-modal infrastructure for basic operations

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual mechanical processes (verbal explanation of each step, manual validation) with automated AI systems that perform transcription, real-time analysis, validation, and monitoring, thereby eliminating human errors and improving interaction efficiency

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of time

If agents verbally identify and explain each step to customers, then information can be conveyed, but the process becomes confusing, time consuming, and frustrating

Engineering Contradiction:

Improveprocess completion timeVSAvoidcustomer understanding

Core Design Contradiction:

Loss of timeVSEase of operation

Solution Approach 1:

The AI assistant performs preliminary actions by transcribing the conversation, identifying the issue, and preparing real-time guidance and validation requests before the agent needs to explain each step. This eliminates the need for verbal explanation of routine steps and reduces customer confusion

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements real-time feedback mechanisms where the AI monitors the conversation, provides instant guidance to the agent, and validates information with the customer. This continuous feedback loop eliminates delays and confusion associated with verbal step-by-step explanations

Inventive Principle:

Principle #23Feedback

3Reliability

If real-time monitoring and validation are implemented, then errors can be reduced, but the system complexity increases

Engineering Contradiction:

Improveaccuracy of informationVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The AI assistant serves multiple functions within a single integrated system: transcription, real-time analysis, guidance generation, validation coordination, and monitoring. This multi-functionality achieves reliable real-time monitoring without requiring multiple separate complex systems

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Ease of operation

If multi-modal communication is used, then customer experience can be enhanced, but security risks increase due to interception of voice or data

Engineering Contradiction:

Improvecustomer experienceVSAvoidsecurity vulnerability

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The AI assistant acts as a secure intermediary that processes and monitors all communications. By centralizing the monitoring function, the system can detect and prevent interception attempts while maintaining the benefits of multi-modal communication channels

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The real-time monitoring and validation system provides continuous feedback to detect security anomalies. The system can identify intercepted or corrupted communications and alert appropriate parties, thereby maintaining security while enabling enhanced multi-modal customer experience

Inventive Principle:

Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances efficiency, reduces errors, and improves customer experience by enabling real-time monitoring and validation, thus expediting issue resolution and reducing wait times.

Implementation Method 1

Real-time listening can be implemented using speech-to-text recognition and voice processing

Methodology Applied

Scientific EffectSpeech-to-text recognition:

Data Source

PatentUS12452368B2AI automated facilitation of support agent/client interactions in multi-modal communications

Publication Date: 2025.10.21 BANK OF AMERICA CORP

AI summary

Systems and processes are disclosed to leverage conversational AI across voice and digital channels by automating employee interactions with clients to deliver humanized experiences with speed and accuracy. Live phone conversation. Transcriptions between clients and agents are generated. AI assist provides automation based on client interactions. Prompts are provided to speak to customers. Real time updates and summaries are sent to client devices and streamed to customize agent sessions. Auto navigation of agent views and manipulations of the agent screen are optimized by AI. Instant client validations are enabled via audible and visual confirmations on client devices. Various other AI implementations for improved processing our similarly disclosed.