Automatic Application Onboarding via Website Scraping and AI Extraction

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Solution Overview

Problem

Existing onboarding processes for computer applications are inaccurate and incomplete, requiring manual input of information through multiple interfaces, which is inefficient and prone to errors.

Innovation Solution

Automated onboarding process using a scraper to collect data from an entity's website and a large language model to extract relevant information, which is then auto-populated on a user interface for confirmation or update.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual input through multiple interfaces is used for onboarding, then information can be collected, but the process is inefficient and error-prone

Engineering Contradiction:
Improveonboarding efficiencyVSAvoiddata accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system enables automatic self-service onboarding by having the entity's website populate the onboarding form data automatically through web scraping and AI extraction, eliminating manual input requirements and reducing human error

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical data entry processes with automated web scraping technology and AI-powered information extraction systems, substituting human operators with intelligent software agents

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If automated web scraping and AI extraction are used, then onboarding accuracy and completeness improve, but system complexity increases

Engineering Contradiction:
Improvedata extraction accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary AI processing layer that sits between the web scraping component and the onboarding system, automatically extracting and validating relevant information to simplify the overall system architecture while maintaining high accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary data extraction and validation through AI processing before the actual onboarding occurs, pre-processing the entity's website data to ensure accuracy and completeness upfront

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250245274A1Automatic onboarding to a computer application by scraping website data
Publication Date: 2025.07.31 INTUIT INC
  • US20250245274A1 patent drawing
  • US20250245274A1 patent drawing
  • US20250245274A1 patent drawing

AI summary

Systems and methods for automating onboarding to a computer application are provided. Onboarding to the computer application is automated by a novel combination of capturing an entity's website, scraping the website for entity data, and using a large language model to extract relevant information. The extracted relevant information is auto-populated on a display. The entity user can update or confirm the displayed information. Therefore, the cognitive strain and inefficiencies associated with switching between computer applications is significantly reduced.