COMPLEX ORGANIZATION INTAKE ARTIFICIAL INTELLIGENCE WORKFLOW IMPROVEMENTS
Inventors
Leah D. Guinyard, Mojgan Madadi, Michelle L. Mercado, Caleb Jordan Parker
Abstract
A system for optimizing complex data intake processes using a machine learning trained model. The system receives user input, determines user intention, and identifies relevant data fields. The system generates a prompt to elicit a data entry, extracts information from a user response or an uploaded document, and optionally performs real-time verification. The system integrates natural language processing, image recognition, or data classification functionalities to guide users through complex processes. The system cross-references extracted data with existing records, classifies the data entry into an appropriate data field, or stores verified data in a database. The system enhances accuracy, reduces errors, and improves efficiency in handling complex document processing or data management tasks.
CPC Classifications
Filing Date
2024-09-13
Application No.
18885000