Corporate financial management is being reconfigured by a wave of emerging technologies that alter how firms forecast, allocate capital, control risks, and report performance. This study examines the scope and mechanisms through which technologies including artificial intelligence and machine learning, cloud-based ERP, robotic process automation, distributed ledger systems, and advanced analytics are reshaping treasury operations, budgeting cycles, audit trails, and decision-support systems. Using a mixed-method approach, the research combines a cross-sectional survey of finance leaders with firm-level case studies and panel regressions on operational and financial outcomes for the period 20122024; qualitative interviews illuminate managerial adaptations and governance responses. The findings indicate notable improvements in forecasting accuracy, liquidity management, and transaction efficiency where firms have integrated real-time data pipelines and automation, but also reveal uneven adoption, integration costs, and heightened cybersecurity and compliance demands. Importantly, technological gains are mediated by organizational readiness: firms with adaptive governance, up skilled finance teams, and phased implementation strategies capture larger productivity and risk-control benefits. The study concludes that while emerging technologies materially transform financial practices, their value depends on deliberate change-management, investment in secure architectures, and continuous capability-building. Practical recommendations focus on phased pilots, stronger vendor controls, and curricular investment in finance technology skills.
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