AI-driven system for automated mortgage and refinance applications using cloud-hosted personal documents
Patent Information
- Application Number
- DE202025102437
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2025-05-04
- Publication Date
- 2025-06-18
- Estimated Expiration
- 2035-05-31
Smart Images
Figure 00000000_0000_ABST
Abstract
Description
The present invention relates to an AI-controlled system designed to automate the hypothesial and re-inance application process by seamless integration with cloud hosted personal documents. The advanced machine learning algorithms, the system efficiently analyzes and processes user data, minimizes manual intervention, and speeds decision making.The application of hypotheses and refinations has long been a complex and time consuming task, often requiring extensive manual input and verification of personal documents. Conventional systems are highly dependent on human intervention to acquire, review and evaluate the required information, leading to delays, errors and inefficiencies. In view of the growing demand for faster and more efficient solutions in the hypothesial industry, the need for an automated system that can rationalize this process has increased tremendously.While existing technologies have advanced in the automation of portions of the process, such as checking creditworthiness or the submission of documents, they are not yet capable of fully incorporating personal documents into the application workflow. In many systems, users must manually upload and organize their information, leading to possible data discrepancies and delays. Moreover, fragmentation of existing solutions offers opportunities for human error and slow decision making, which negatively affects the general customer experience and extends the time to safeguard hypothesis or refining.The invention aims to overcome these challenges by introducing an AI-controlled system that automates the entire application process for hypotheses and refinations using cloud-hosted personal documents. By incorporating machine learning algorithms into document management and data processing systems, the solution obviates the need for manual data entry and verification. The system is capable of intelligently analyzing and validating the submitted documents, automatically extracting relevant information, and performing real-time evaluations to optimize the application workflow. This approach significantly shortens the processing time, improves accuracy, and increases customer satisfaction by providing a seamless end-to-end solution.An object of the present disclosure is to automate the processing of documents and the decision making, thereby shortening the processing time of requests.Another object of the present disclosure is to minimize human errors by automatically validating and extracting data from personal documents.Another object of the present disclosure is to provide a seamless, user-friendly interface for applicants to submit documents and track progress.Another object of the present disclosure is to enable immediate feedback to the requests, thus enabling faster permissions or disapprovals.Another object of the present disclosure is to reduce the need for manual intervention, thus reducing the cost of operating creditors and financial institutions.Another object of the present disclosure is to automatically provide compliance with financial regulations such as AML and KYC, thus reducing legal risks.Another object of the present disclosure is ease of scalability to cope with increasing amounts of applications without performance penalty.Another object of the present disclosure is to utilize cloud-based storage with encryption to protect sensitive advertising data from unauthorized access.Other objects and advantages of the present disclosure will become apparent from the following description, which is not intended to limit the scope of the present disclosure.The present invention relates to an AI-controlled system that automates the application process for hypotheses and refinancing, reduces manual interventions, and increases efficiency. It uses personal documents hosted in the cloud for seamless data extraction and processing.Another embodiment of the present invention is that the system is incorporated into cloud storage to securely upload and manage personal documents and to provide easy access and organization. It supports various document formats and categorizes them for efficient processing.Another embodiment of the present invention is that the system automatically extracts key information from personal documents using advanced machine learning algorithms and rechecks the data to ensure accuracy. This reduces errors and accelerates the checking process.Another embodiment of the present invention is that the system evaluates the financial profiles of the applicants and their suitability based on predefined criteria including credit scores and school-in-arrival ratios and makes real-time application decisions. This results in a faster grant or reject.Another embodiment of the present invention is that the mobile and web-based interface guides the users through each step of the request method. It provides real-time updates and allows applicants to track progress and easily submit the required documents.In another embodiment of the present invention, the system provides compliance with regulations such as AML and KYC by monitoring the application process. It creates detailed test paths and compliance reports for regulatory purposes.Another embodiment of the present invention is that by automatizing document processing and making decisions, the system significantly reduces processing time and human errors. It provides for more rapid and precise request processing for both applicants and performers.Another embodiment of the present invention is the cloud-based architecture that allows for easy scalability to process a large number of applications. It provides a high level of security through encrypted data storage and secure document management for protection of sensitive personal information.The present invention relates to an AI-controlled system (100) which automates the application process for hypotheses and refinations by using personal documents hosted in the cloud. It integrates multiple key modules: a secure upload and organization document management module, an AI-based data extraction and validation module to ensure data accuracy, and an automated decision making module that evaluates claim authority based on predefined criteria. The system also includes a user interface for seamless interaction with the applicants and a compliance module that provides compliance with legal requirements. These modules cooperate to rationalize the request process, reduce manual effort, increase speed, and improve data security.Module for Document Integration and Management:This module is responsible for seamless integration of the cloud hosted personal documents submitted by the applicant. It facilitates the secure uploading, storing and organizing of documents in the cloud and ensures that all relevant files, such as revenue evidence, identity evidence and property information, are easily accessible. The system supports various document formats and categorizes them automatically to be efficiently retrieved and processed. To protect sensitive information, advanced encryption and security protocols are implemented that conform to industry standards for data protection and security.KI-Assisted Module for Data Extraction and Validation:Once the personal documents are uploaded, this module uses AI and machine learning algorithms to automatically extract important data points from the documents. The system can recognize and extract information such as names, addresses, financial data, and real-world details from structured and unstructured document formats. The extracted data is then matched to the requirements of the application to ensure its correctness and completeness. This module reduces errors in manual data entry and speeds up the document processing phase by allowing real-time validation of the information provided.Module for Automated Application Processing and Decision Making:After the data has been extracted and validated, the next step is to process the hypothesis or re-inance request. This module employs advanced decision algorithms to analyze the applicant's financial profile, creditworthiness, and suitability for hypothesis or refinement based on the extracted data. The system automatically evaluates the request from predefined criteria such as revenue level, skill level and credit score to make a preliminary decision. With simple requests, the system can give immediate approval or rejection, while more complex cases can be marked for further human verification, rationalizing the overall request process.Module User Interface and Experience:This module focuses on creating a seamless and intuitive user interface that guides the applicant through each step of the application method. It allows users to upload documents, track progress of their requests, and obtain real-time notifications and updates to their status. The user interface is user-friendly and accessible via various devices, so that the applicants can easily submit their information. In addition, this module provides transparent communication that allows the applicants to understand the requirements and status of their requests at each stage.Rule Compliance and Reporting Module:Compliance with financial regulations and industry standards is of decisive importance in the hypothesizing and refining process. With this module, the application process is continuously monitored to ensure that all steps meet legal requirements, e.g. rules for controlling the money wash (AML) and customer awareness (KYC). It also creates detailed reports for regulatory purposes and provides test pathways for all activities within the system. This ensures that the system complies with industry standards and best practices and at the same time ensures transparency and responsibility in the hypothesis and re-antag application process.The invention is explained again below with reference to the figure. The following shows: FIG. 1 is an illustration of the AI-controlled system (100) for automated application of hypotheses and re-inances using cloud hosted personal documents.Figure 1 shows an illustration of the AI-controlled system (100) for automated application of hypotheses and re-inances with cloud-hosted personal documents. The system first allows applicants to securely upload their personal documents to a cloud-hosted platform via an intuitive user interface. Once the documents are submitted, the AI-based data extraction and validation module will automatically extract relevant data such as financial information, identification details and real-world data from the documents. This extracted data is then validated against the requirements of the request to ensure its correctness and completeness. The automated request processing and decision making module of the system processes the validated data and analyzes the financial profile of the requester as well as other important metrics such as credit score, skill level, and revenue evidence to assess suitability for hypothesis or refinance. Based on the analysis, the system generates an immediate decision - approval, rejection, or labeling of complex cases for further testing. During this process, the user interface and experience module provides for the applicant to be guided through each phase and provides real-time updates and feedback.The compliance and reporting module operates simultaneously ensuring that the entire process meets financial regulations and creates the required compliance reports and audit records. The system thus enables rapid, efficient and safe processing of hypothesis and re-inance tasks by significantly reducing manual interventions and human errors while improving processing speed and accuracy.
Claims
A AI-controlled system for automated hypothesis and re-inance tasks using cloud hosted personal documents, comprising: a. a document integration and management module configured to securely upload, store, and organize personal documents hosted in the cloud; b. an AI-based data extraction and validation module configured to extract relevant data from the uploaded documents, match the extracted data with predefined application requirements, and ensure data accuracy; c. an automated request processing and decision making module configured to evaluate the financial profile of the requester including revenue, creditworthiness, and school-in-arrival ratio and make a preliminary decision based on predefined suitability criteria; d. a user interface and experience module configured to guide the requester through the request process, provide status updates in real time, and enable the submission and tracking of documents; A compliance and reporting module configured to ensure compliance with financial regulations including anti-money wash (AML) and know-your-customer (KYC) requirements and generate compliance reports and audit records; f. wherein the system enables continuous automation of the hypothesis and re-sign request process by reducing manual interventions and processing time and simultaneously improving data accuracy and decision efficiency.The AI-controlled system (100) of claim 1, wherein the document integration and management module supports multiple document formats including PDFs, images, and scanned documents, and categorizes the documents automatically based on their content.The AI-controlled system (100) of claim 1, wherein the AI-controlled data extraction and validation module uses optical character recognition (OCR) and natural language processing (NLP) algorithms to extract relevant information from both structured and unstructured documents.The AI-controlled system (100) of claim 1, wherein the automatic application processing and decision making module uses a machine learning algorithm to continuously improve the accuracy of its decision making over time based on historical data.The AI-controlled system (100) of claim 1, wherein the user interface and experience module comprises a mobile application interface and a web-based interface that enable applicants to upload documents, track progress, and obtain notifications of their request status.The AI-controlled system (100) of claim 1, wherein the rules compliance and reporting module is configured to generate real-time test paths for each application that allow participants to track all actions taken with the documents and data within the system.The AI-controlled system (100) of claim 1, wherein the automated request processing and decision making module is further configured to provide real-time feedback to applicants including approval, rejection, or request for additional records if necessary.The AI-controlled system (100) of claim 1, wherein the AI-controlled data extraction and validation module includes a data augmentation function that automatically cross-references the extracted data with external sources such as credit offices or real-world databases to further validate the applicant's information.