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An AI-based system, VK ArtiFin, helps corporate employees quickly access accurate information from internal documents, improving efficiency and decision-making.
VK ArtiFin is an AI-based question-answer system designed for the banking sector. It aggregates documents, analyzes content, and provides fast and accurate answers to user questions. The system improves employee experience, accelerates digital transformation, and increases reliability in corporate decision-making processes.
Abstract
The banking sector, due to its intense regulatory landscape and constantly changing legislation, has become a sector where rapid access to accurate information is critical. The increasing variety of financial products, the proliferation of digital banking, and the tightening of regulatory processes are increasing the need for instant access to current legislation and internal procedures among corporate employees. However, current information access methods largely rely on manual communication channels like phone calls or text messaging, resulting in wasted time, human errors, process delays, and operational losses.
Artificial intelligence (AI) technologies are playing a transformative role in information management and process optimization in the banking sector. Developed in this context, VK ArtiFin, an AI-based question-answer system, stands out as an innovative solution capable of generating fast, accurate, and context-appropriate answers to questions about internal documents such as regulations and procedures. The VK ArtiFin question -answer system aggregates different document formats into a data repository and analyzes content at the semantic level using large language models (LLMs). This model, capable of understanding users' sequential and contextual questions, facilitates direct access to information, reduces manual workload, and increases operational efficiency. This question-answer system allows users to answer questions on relevant documents or their own documents.
Findings obtained from the use of the question-answer system reveal that artificial intelligence-supported information access systems accelerate digital transformation in the banking sector, improve employee experience, and increase reliability in corporate decision-making processes. This study demonstrates that AI is shaping the future of banking not only as a technical tool but also as a strategic value creator.
Keywords
Artificial Intelligence (AI)Large Language Models (LLM)Natural Language Processing (NLP)Question-Answer SystemsIn-House Artificial Intelligence ApplicationsFinancial Technologies
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