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Case Studies on Integrating Artificial Intelligence in Finance to Transform Decision Making and Risk Management for Enhanced Financial Outcomes
Review Article | Published: 25 May 2025
IECE Transactions on Computer Science Volume 2, Issue 2, 2025: 35-50
Volume 2, Issue 2, IECE Transactions on Computer Science
Volume 2, Issue 2, 2025
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IECE Transactions on Computer Science, Volume 2, Issue 2, 2025: 35-50

Free to Read | Review Article | 25 May 2025
Case Studies on Integrating Artificial Intelligence in Finance to Transform Decision Making and Risk Management for Enhanced Financial Outcomes
by
Madiha Madiha Madiha Madiha 1
Kira Sam Kira Sam 2
Sanjai Kumar Sanjai Kumar 3
Raja Vavekanand Raja Vavekanand 4 *
1 Metropolia University of Applied Sciences, Myllypurontie 1, Helsinki, Finland
2 University Of Salento, Piazza Tancredi, 73100 Lecce LE, Italy
3 University of Sindh, Jamshoro 76080, Sindh, Pakistan
4 Datalink Research and Technology Lab, Islamkot 69240, Sindh, Pakistan
* Corresponding Author: Raja Vavekanand, [email protected]
DOI: 10.62762/TCS.2025.744196
Received: 06 February 2025, Accepted: 13 April 2025, Published: 25 May 2025  
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Abstract
Artificial intelligence (AI) is transforming the financial sector by revolutionizing risk management and enhancing personalized banking experiences. This study examines the role of AI in finance by analyzing how companies such as AlphaSense and Kasisto utilize AI-driven solutions to optimize financial decision-making and customer interactions. AI’s advanced capabilities in data analysis, credit underwriting, and automated customer service have significantly enhanced efficiency, accuracy, and accessibility within the financial services sector. The paper explores key AI technologies, including machine learning, natural language processing (NLP), and generative AI, which drive this transformation. Despite its numerous advantages, the integration of AI in finance presents challenges such as data privacy concerns, ethical considerations, and regulatory compliance. The study highlights the importance of addressing these challenges to ensure the responsible and sustainable adoption of AI in the financial sector. By showcasing the contributions of leading AI-driven financial solutions, this research provides valuable insights into the evolving financial landscape and the potential of AI to redefine financial services, making them more inclusive, efficient, and secure.
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Case Studies on Integrating Artificial Intelligence in Finance to Transform Decision Making and Risk Management for Enhanced Financial Outcomes
Keywords
AI in finance
digitalization
risk management
financial data analysis
risk analytics
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
Raja Vavekanand is an employee of Datalink Research and Technology Lab, Islamkot 69240, Sindh, Pakistan.
Ethical Approval and Consent to Participate
Not applicable.
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Cite This Article
APA Style
Madiha, M., Sam, K., Kumar, S., & Vavekanand, R. (2025). Case Studies on Integrating Artificial Intelligence in Finance to Transform Decision Making and Risk Management for Enhanced Financial Outcomes. IECE Transactions on Computer Science, 2(2), 35–50. https://doi.org/10.62762/TCS.2025.744196
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