ALGORITHMIZATION OF AN AI AGENT FOR AUTOMATED VALIDATION OF INTRACORPORATE DOCUMENTATION

Serezleev Dmtrii Sergeevich, Abaev Yusup Kyurievich

The paper addresses the problem of automating document validation procedures performed by personnel in commercial organizations within the banking sector. Modern approaches to managing corporate information and documentation are analyzed. The authors demonstrate all shortcomings of existing methods for verifying technical and business tasks used to implement internal bank tools. A methodology is proposed for integrating specialized artificial intelligence agents aimed at automating and optimizing standardized document checks. The authors provide economic calculations justifying the introduction of artificial intelligence into this field, demonstrating a reduction in analytical resource expenditures by one quarter and achieving an investment payback period within one month of system operation. Additionally, the methodology describes various integrations of AI infrastructure, ensuring transparency, manageability, and compatibility with new technological solutions within corporate systems. Thus, the proposed approach demonstrates the potential for a radical rethinking of internal corporate approaches to documentation.

Keywords:artificial intelligence, documentation, database, semantics, analysis, business requirement, technical requirements, big data