Multi-Application Digital Assistant for Unified API Workflows

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Solution Overview

Problem

Existing systems struggle to efficiently integrate and leverage data across multiple applications within a multi-application network, necessitating improved methods for data cataloging, exception event handling, and command registration.

Innovation Solution

A digital assistant is implemented to analyze user inputs, recognize data relationships, and recommend operations, utilizing a data engine to encapsulate commands and manage exception events, while integrating with both native and non-native applications via APIs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data from multiple applications is integrated and leveraged, then data accessibility and workflow efficiency are improved, but system complexity increases

Engineering Contradiction:

Improveworkflow efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces a digital assistant as an intermediary component that mediates between multiple applications and the user. The digital assistant receives natural language inputs, analyzes them using semantic and syntactic processing, and executes appropriate commands across different applications. This intermediary layer simplifies the complexity by providing a unified interface rather than requiring direct integration between all applications.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The digital assistant is designed as a universal system capable of performing multiple functions across diverse applications. It can process various types of inputs (textual, auditory), analyze different data objects, and execute commands in multiple applications through a single unified interface, thereby improving productivity without proportionally increasing complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If computational tools are developed to register and execute commands dynamically, then command execution flexibility is improved, but processing time increases

Engineering Contradiction:

Improvecommand execution flexibilityVSAvoidprocessing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-processing and analyzing user inputs before full execution. The digital assistant analyzes the semantic and syntactic structure of commands in advance, determines the appropriate applications and parameters, and prepares the execution plan. This preliminary analysis phase separates the complex processing from the actual command execution, reducing perceived processing time while maintaining flexibility.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces traditional mechanical command execution systems with an intelligent, AI-driven digital assistant that uses natural language processing, semantic analysis, and machine learning. This substitution enables more flexible command interpretation and execution while optimizing processing time through intelligent routing and parallel processing capabilities.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If natural language processing is implemented for command recognition, then ease of operation is improved, but computational requirements increase

Engineering Contradiction:

Improveinput simplicityVSAvoidcomputational energy

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The digital assistant implements partial processing by analyzing only the necessary semantic and syntactic components of natural language inputs required for command execution. Rather than performing exhaustive analysis of all possible meanings and contexts, the system processes only the relevant portions needed to understand and execute the user's intent, thereby reducing computational energy consumption while maintaining ease of operation.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12407757B2Methods and systems for implementing an intelligent digital assistant in a multi-application network

Publication Date: 2025.09.02 BLACK KNIGHT IP HOLDING CO LLC

AI summary

The disclosed method for implementing a digital assistant in a multi-application network includes: receiving an input command from a computing device; analyzing the input command; determining based on the analysis of the input command, a digital request data object associated with the input command; resolving the input command into a data string; determining, based on the digital request data object, intent data; and generating based on the intent data, a first set of operation recommendations comprising a first operation recommendation associated with a first application function. The methods also include determining an application programming interface (API) associated with the first application function; connecting, using the API, to the first application function; executing the first operation recommendation to generate a computing operation result; and rendering the computing operation on a single graphical interface comprising a consolidation of a plurality of graphical interfaces associated with the first set of computing operation recommendations.