
SWAI for IDP is an Intelligent Document Processing (IDP) solution that automatically collects, classifies, summarizes, recognizes, and extracts unstructured documents in the form of electronic records, leveraging AI deep learning. It effectively supports the automation of administrative and business documents by integrating natural language processing (NLP), contextual understanding, optical character recognition (OCR), and multimodal analysis technologies.
In particular, it standardizes and automates handover processes in public and administrative agencies, ensuring organizational continuity and transforming accumulated data into knowledge assets.
Provides intelligent analysis capabilities that automatically analyze unstructured electronic documents and identify key information and business issues.
Ensuring work consistency through standardization and automation of handover documents tailored to the type of work in each organization.
Provides a flexible infrastructure environment that processes sensitive information locally and expands large-scale analysis to the cloud.
Securing the possibility of uninterrupted introduction and operation through API integration with electronic approval, document management systems, etc.
Automatically collects various document formats (PDF, Hangul, Office, etc.) and performs formatting based on metadata.
Automatically extracting core business content from documents using natural language processing and keyword extraction techniques.
Automatically generate handover documents according to standardized templates based on automatically extracted information.
Equipped with role-based access control, sensitive information identification and masking, and log-based audit response capabilities.
Implementation of an automated system to automatically transfer work history and ensure continuity during job rotations and organizational transfers.
Support for stable transfer and management of academic or patient information when faculty and medical staff change
Implement a record-based knowledge transfer system for project history, issues, follow-up actions, etc.
Support for analysis and history management of various types of documents, including regulatory documents, contracts, and research materials.
Minimize business interruption and support systematic transfer through automatic storage and transfer of core business history.
Increased productivity by reducing time by up to 90% compared to manual handover and preventing errors.
Securing and expanding a digital transformation model based on standardized handover and document automation.
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