Company

Founded in 2012, Bitoplus Co., Ltd. is an information security specialist that helps enterprises strengthen and streamline security operations. Its services span network security infrastructure, email security, and integrated information protection systems. Drawing on experience from security projects for major Korean enterprises and financial institutions, including Samsung, SK, LG, and Hyundai Motor Group, Bitoplus supports customers in protecting digital environments and improving operational efficiency.

Challenge

Bitoplus wanted to modernize the way it handled unstructured documents by reducing manual data entry, accelerating processing, and improving extraction accuracy.

• Manual, time-consuming document entry

  Employees had to review unstructured documents and enter data manually, creating delays and adding repetitive work to day-to-day operations.

• A need to automate OCR for complex document formats

  The company needed an OCR automation approach that could handle not only standardized forms, but also documents with varied layouts, inconsistent structures, tables, and images.

• Higher speed and accuracy requirements

  Before implementation, document processing took 8.2 minutes on average, with extraction accuracy at 69.5%. The project goal was to reduce processing time while increasing accuracy through AI OCR.

• A scalable foundation for AI-powered workflows

  Bitoplus also needed a scalable platform covering document upload, analysis review, template management, post-processing scripts, RAG-based knowledge search, and feedback management.

Solution

DDI implemented a generative AI-powered OCR platform for Bitoplus, connecting document analysis, template management, knowledge search, and operational management in one integrated workflow.

[Data Processing Architecture Based on Key AWS Services]

• Built an AI OCR-based document analysis workflow

  DDI enabled users to upload documents and review analysis results through a dedicated document analysis menu. This shifted the process from manual entry to AI-based recognition and extraction, increasing automation across the workflow.

• Developed a generative AI extraction module

  DDI evaluated LLM performance to identify the most suitable AI approach for document analysis and developed a generative AI extraction module. This allowed OCR to go beyond text recognition and extract business-ready information from documents.

• Added template management and post-processing capabilities

  Template management allows extraction rules to be configured by document type. DDI also added post-processing scripts so AI OCR results can be refined and transformed for specific business needs.

• Expanded AI chat and RAG-based document knowledge search

  The platform includes AI chat and RAG-based document knowledge search. With document registration, similar document search, registration history, and knowledge data management features, OCR outputs can be turned into searchable, reusable business knowledge.

• Established SSO and organization-based operations

  DDI designed the platform with user authentication and workplace access convenience in mind, supporting practical adoption in real business environments.

• Enabled usage, cost, feedback, and audit log management

  Management features for usage, cost, feedback, and audit logs help Bitoplus monitor and operate the AI OCR system in a structured, transparent way.

Benefit – Business Results and Impact

By adopting AI OCR, Bitoplus dramatically reduced document processing time, increased extraction accuracy, and minimized the operational burden of manual data entry.

• 91% faster document processing

  After AI OCR was applied, document processing time dropped from 8.2 minutes to 42 seconds. This 91% reduction significantly improved productivity for repetitive document entry tasks.

• 24.3 percentage point improvement in extraction accuracy

  Extraction accuracy increased from 69.5% to 93.8%. The AI-based extraction module, combined with a review data-driven operating model, helped improve overall document processing quality.

• Less manual data entry

  By automatically extracting required information from unstructured documents, Bitoplus reduced tasks that previously depended on manual review and entry. Employees can now focus more on review, exception handling, and data utilization.

• Higher productivity and better business quality

  Improvements in both speed and accuracy helped deliver meaningful gains in business quality, going beyond simple process automation.

• A stronger foundation for document data utilization

  With RAG-based document knowledge search, similar document search, and knowledge data management, Bitoplus can turn OCR outputs into searchable business knowledge. This creates opportunities for document-based Q&A, similar case discovery, and continuous knowledge accumulation.

• A reliable framework for AI operations

  Usage and cost management, feedback management, audit logs, and user and organization management features provide the operational foundation needed to run the AI OCR system reliably.