Uzoamaka Azuka Iwuanyanwu
Papers
2
Total Citations
15
H-Index
2
About
Dr. Uzoamaka Azuka Iwuanyanwu is a pioneering researcher at the intersection of artificial intelligence, audit automation, and process intelligence. Her work centers on transforming traditional assurance and compliance frameworks through data-driven methodologies, with a particular focus on IT General Controls (ITGCs) under the Sarbanes–Oxley Act. In her highly cited 2022 paper, she introduced a conceptual framework for AI-enabled ITGC and SOX audit automation, addressing the critical gap between manual, resource-intensive audit practices and the demands of complex digital ecosystems. This work has garnered 10 citations and is shaping how organizations approach compliance in increasingly automated environments. More recently, Dr. Iwuanyanwu has advanced the field of process mining with her 2025 paper on problem-oriented process mining (POPM) for auditable marketing automation lifecycle control. This framework shifts focus from conventional campaign metrics to systematic detection of workflow anomalies, offering a novel approach to governance in marketing automation. Her contributions are particularly notable for bridging the gap between technical process intelligence and regulatory compliance, making her work essential reading for researchers and practitioners in audit, AI governance, and business process management.
Research Focus
Key Achievements
Top Papers
- 1
- 2