EventsThe 1st International Online Conference on Risk and Financial Management
Published
This submission belongs to the session S2. AI in Economics and Finance of the event The 1st International Online Conference on Risk and Financial Management
Published date
12 Jun, 2025
Academic Editor
author-avatarSvetlozar Rachev
Citation
Kamran Razzaq, Mahmood Shah, Future of Corporate Finance: Advancing Decision-Making with Machine Learning and AI Technologies, in Proceedings of The 1st International Online Conference on Risk and Financial Management, 17 June–18 June 2025, MDPI: Basel, Switzerland
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Future of Corporate Finance: Advancing Decision-Making with Machine Learning and AI Technologies

1. Department of Marketing Operations and Systems, Newcastle Business School, Northumbria University, Newcastle, NE1 4SE, UK, UK
Abstract

Introduction

AI technology is improving business finance by making work faster and smarter. Three tools are used: machine learning (ML), natural language processing (NLP), and robotic process automation (RPA). These technologies process data automatically, predict financial outcomes better, speed up repeated tasks , and help manage financial risks. However, introducing AI systems produces problems because they need good-quality data to work perfectly, and current methods still have strong support from those who do not want to change their way of doing things. This current study will address a research gap by investigating how the latest techniques in AI in finance can help companies better manage themselves, act sustainably, and make smarter decisions.

Methodology: This study will explore the use of AI in corporate finance organisations through a qualitative research approach. We reviewed the existing literature to determine the common uses of AI in decision-making in finance. To better understand this problem, we will analyse the relevant literature further. In addition, we will conduct at least 10 semi-structured interviews with AI professionals working in the financial industry. A thematic analysis will be performed to identify their in-depth knowledge about AI usage.

Potential Outcomes: The expected outcomes of advancements in AI are versatile and evolving. Organisations can enhance business and finance operations by using artificial intelligent systems, budgeting, financial analysis and prediction, natural language processing techniques to interpret textual information, and robotic process automation to restructure tedious tasks, minimise errors, and reduce time spent. Adopting cutting-edge AI technologies will automate operations and enable efficient data analysis to enhance decision-making.

Conclusion: This study will present a holistic view of how AI techniques can improve financial performance, financial organisation, and efficient decision-making in corporate finance. The effectiveness of AI technologies relies on high-quality data and efficient change management, helping business organisations boost efficiency and sustainability.

Keywords
Artificial Intelligence
Economics and Finance
Decision making
Corporate Finance
Finance
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