Integrated AI Assistant Interface for Natural Language Workflows

Solution Overview

Problem

Users unfamiliar with AI assistants face challenges in generating effective requests and integrating them efficiently into their workflows, lacking interoperability between user interfaces and AI assistants, which hinders efficient data retrieval and manipulation.

Innovation Solution

An integrated AI assistant system that provides interoperability between user interfaces and AI systems, utilizing a Large Language Model (LLM) to facilitate natural language processing, enabling features like chat history, suggested actions, and clickable results for seamless data interaction and manipulation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If AI assistants are integrated into user interfaces, then data retrieval and manipulation efficiency is improved, but user interface complexity increases

Engineering Contradiction:

Improvedata retrieval and manipulation efficiencyVSAvoiduser interface complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces an AI assistant as an intermediary layer between the user interface and the underlying data systems. This AI assistant handles complex data retrieval and manipulation tasks through natural language processing, shielding users from interface complexity while maintaining high productivity. The AI assistant acts as a mediator that translates user intents into system actions without requiring users to understand the underlying complex processes.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The AI assistant is designed as a universal interface that can perform multiple functions including data retrieval, data manipulation, task automation, and information synthesis. By consolidating these diverse functions into a single AI-powered interface, the system improves productivity across multiple operations while presenting a unified, manageable interface to users rather than multiple specialized tools.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If AI assistants are integrated into user interfaces, then workflow automation is improved, but interoperability challenges increase

Engineering Contradiction:

Improveworkflow automationVSAvoidinteroperability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The AI assistant is designed as a universal interface that can perform multiple functions including data retrieval, data manipulation, task automation, and information synthesis. By consolidating these diverse functions into a single AI-powered interface, the system improves productivity across multiple operations while presenting a unified, manageable interface to users rather than multiple specialized tools.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent segments the AI assistant's functionality into distinct modules including natural language processing, task interpretation, action execution, and result presentation. This modular architecture enables independent optimization of each function and facilitates integration with different external systems, thereby improving interoperability while maintaining automated workflow capabilities.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260079734A1Systems and methods for integration of ai-based user interface elements

Publication Date: 2026.03.19 SALESFORCE INC

AI summary

Disclosed herein are system, method, and computer program product embodiments for an improved integrated AI assistant. The integrated AI assistant performs a plurality of tasks within a host system including providing predictive action suggestions, generating clickable results, updating objects, searching fields, updating fields, determining the AI-generated content within a field, providing chat histories, and providing citations.