Evaluating the Impact of Intelligent Data Processing for Corporate Finance with the Use of Real Options Analysis

Technological innovation is changing virtually every aspect of business practices and operational procedures. Regardless if we talk about simple automation of paper inputs, or complex multi-step processing of large data sets, we can see that there is one common thing – the pace of innovation increases and so do the efforts and resources needed to stay in line with the latest developments. Introduction of large language models and various types of intelligent processing, commonly referred to as artificial intelligence presents an even bigger change request to cope with. In this paper we analyze the impact of intelligent data modelling on corporate finance practices and suggest an approach to assess its full impact. We develop an estimation technique, based on real option analysis (ROA) in an attempt to quantify various implementation details and build a more robust way for analyzing various effects from using AI-driven solutions in support for corporate finance decisions and analyses.