This article explores the impact of modern digital tools on corporate financial management. It highlights the interplay between robotics, automation, big data, AI, and blockchain systems in optimizing financial processes and introduces new approaches aimed at enhancing transparency and reducing error rates. The study outlines methodologies that improve analytics and forecasting while identifying potential cybersecurity threats. The novelty of this research lies in its comprehensive review of digital solutions through the lens of FinTech adoption and migration to cloud platforms. Particular attention is given to the challenges of scaling technologies and enhancing resilience against cyberattacks. The objective is to formulate practical recommendations for improving financial decision-making and minimizing operational risk. To achieve this, the study employs comparative analysis, expert reviews, and empirical insights from recent literature. The final sections provide applied findings and guidance for professionals seeking to integrate innovation into corporate finance. This article is intended for financial analysts, CFOs, and managers aiming to enhance the effectiveness of financial operations.

financial management, digital tools, blockchain, cloud platforms, artificial intelligence

Bolton, R. (2024). State of financial services in cloud. Cloud Security Alliance. https://www.communitybankingconnections.org/Articles/2024/R6/security-in-the-cloud (accessed April 11, 2025)

Gartner Research. (2021). Robotic process automation in finance. https://www.gartner.com/en/newsroom/press-releases/2020-09-21-gartner-says-worldwide-robotic-process-automation-software-revenue-to-reach-nearly-2-billion-in-2021 (accessed April 14, 2025)

Javaid, M., Haleem, A., Singh, R., Suman, R., & Khan, S. (2022). A review of blockchain technology applications for financial services. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2, 100073. https://doi.org/10.1016/j.tbench.2022.100073

Krishnamoorthy, M., Velayutham, S., Palraj, V., Manikandan, M., Mani, R., & Krishnamoorthi, M. (2023). The big data analytics and its effectiveness on bank financial risk management. 2023 International Conference on Recent Trends in Advanced Computing (ICRTAC), 313–316. https://doi.org/10.1109/ICRTAC59277.2023.10480831

Kou, G., & Lu, Y. (2025). FinTech: A literature review of emerging financial technologies and applications. Financial Innovation, 11(1). https://doi.org/10.1186/s40854-024-00668-6

Li, Y., Zhong, H., & Tong, Q. (2024). Artificial intelligence, dynamic capabilities, and corporate financial asset allocation. International Review of Financial Analysis, 96(PB). https://doi.org/10.1016/j.irfa.2023.102958

Olaiya, O., Agwubuo, C., Usoro, S., Obani, O., Nwafor, K., & Ajayi, O. (2024). The impact of big data analytics on financial risk management. International Journal of Science and Research Archive, 12(2), 821–827. https://doi.org/10.30574/ijsra.2024.12.2.1313

Pascual, A. G., & Natalucci, F. (2022, April 13). Fast-moving FinTech poses challenge for regulators. IMF Blog. https://www.imf.org/en/Blogs/Articles/2022/04/13/blog041322-sm2022-gfsr-ch3 (accessed April 13, 2025)

SmartDev. (2024). Fintech cybersecurity: Key risks and challenges. https://smartdev.com/the-fintech-cyber-seas-challenges-and-solutions-for-secure-navigation/ (accessed April 9, 2025)

Smolarczyk, T. (2024). AI in finance: Discover the latest trends. SpyroSoft. https://spyro-soft.com/blog/artificial-intelligence-machine-learning/ai-in-finance-discover-the-latest-trends (accessed April 8, 2025)