Adoption of Innovation and AI Technology within the Organization
In 2025, the Company adopted artificial intelligence (AI) technology to enhance operational efficiency, reduce human error, and strengthen compliance with relevant laws. This included investment in AI computing infrastructure through NVIDIA GTX B200 graphics processing units to support in-house AI model processing and development.
Key AI Technology Applications in 2025
OCR (Optical Character Recognition) System
OCR technology is applied to convert documents from images into digital data, in order to reduce manual work, decrease human error, and increase data processing speed.
- Reducing Manual Work and Employee Workload: OCR reduces manual data entry steps, which previously required a large number of employees and considerable time, enabling employees to focus on higher value-added tasks.
- Reducing Human Error and Improving Data Accuracy: Manual data entry carries risks of errors such as incorrect keystrokes, omissions, or misreading of documents. OCR helps reduce such errors.
- Increasing Data Processing Speed: OCR is capable of processing large volumes of documents within a short period compared to manual processes, resulting in faster overall workflows and reduced time at each operational step.
- Enhancing Transparency and Auditability: Storing data in digital format enables easy retrospective document review, provides clear evidence, and supports internal auditing and compliance with relevant laws and regulations.
- Supporting Digital Transformation and ESG: Reducing paper document usage decreases resource consumption and supports environmental operations, while concretely advancing work processes toward a digital system.
Innovation Development Outcomes
Innovation has currently been introduced through the OCR system, which is primarily used to process legal case documents. Average working hours reduced by 10 hours / person / month.
