Assessing the Strategic Impact of Artificial Intelligence - Robotic Process Automation on Enterprise Architecture in the Telecommunications Industry

Authors

  • Abubakar Umar Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria
  • Isa Abdulrazaq Imam Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria
  • Ajayi Ore-Ofe Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria
  • Dako Daniel Emmanuel Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria
  • Dugguh Sylvester Aondonenge Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria
  • Lawal Abdulwahab Olugbenga Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria

DOI:

https://doi.org/10.26740/vubeta.v1i3.36736

Keywords:

Artificial Intelligence, Digital Transformation, Enterprise Architecture, Robotic Process Automation, Telecommunication

Abstract

This project explores the strategic impact of Artificial Intelligence (AI)-enhanced Robotic Process Automation (RPA) on Enterprise Architecture (EA) within the telecommunications industry. Traditionally, RPA has been applied to automate repetitive tasks without altering underlying IT infrastructure, focusing primarily on operational efficiency. However, the integration of AI introduces cognitive capabilities to RPA, enabling more dynamic interactions within complex organizational systems. This project assesses how AI-driven RPA can influence EA by enhancing system efficiency, supporting business-IT alignment and promoting digital transformation. Through case studies and analyses of various telecommunications operations, the project investigates the dual role of AI-enhanced RPA in both streamlining enterprise-wide processes and maintaining adaptability to meet industry demands. The findings indicate that, while AI-RPA integration holds significant promise for accelerating operational improvements, it also presents unique challenges related to governance, scalability and long-term sustainability. This work contributes insights into the adoption of AI-driven RPA as a transformative tool for telecommunications, offering guidance on best practices for aligning automated systems with enterprise strategic goals.

Author Biographies

Abubakar Umar, Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria

Abubakar Umar     is a lecturer in the Department of Computer Engineering at Ahmadu Bello University, Zaria, Nigeria. He earned his BEng Degree from Electrical Engineering Department Ahmadu Bello University, Zaria, Nigeria, in 2011, MSc, and Ph.D. degrees from Computer Engineering Department, Ahmadu Bello University, Zaria, Nigeria, in 2017 and 2024. He specializes in various aspects of computer engineering. His primary research focus is in Control Engineering, where he explores the development and optimization of control systems for different applications. He is dedicated to advancing his research and contributing to academic knowledge in this field. He can be contacted via email at abuumar@abu.edu.ng, abubakaru061010@gmail.com

Isa Abdulrazaq Imam, Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria

Isa Abdulrazaq Imam is a seasoned technology expert and leader with extensive experience in managing multi-disciplinary projects and driving innovation to enhance organizational performance. He holds a BSc. In Statistics from Department of Statistics in 2015 and an MSC. In Intelligent Systems from the Department of Computer Engineering at Ahmadu Bello University, Zaria, Nigeria. He is passionate about using technology to drive sustainable development and socio-economic impact. He can be contacted via email at imamabdulrazaq@gmail.com.

Ajayi Ore-Ofe , Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria

Ajayi Ore-Ofe is a lecturer at the Department of Computer Engineering, Ahmadu Bello University, Zaria, Nigeria. He received his MSc and Ph.D from Computer Engineering in Control Engineering, in 2017 and 2022 respectively. He received his MSc and Ph.D from the department of Computer Engineering in Ahmadu Bello University, Zaria, Nigeria. He is mainly research in control engineering. He can be contacted at email: ajayi.oreofe17@gmail.com.

Dako Daniel Emmanuel , Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria

Dako Daniel Emmanuel graduated from the department of Electrical and Computer Engineering at Ahmadu Bello University (ABU), Zaria, Nigeria in 2012. During the same year, he obtained CCNA1 and CCNA2 certifications from the ABU Zaria ICT Cisco Centre. He has worked with various ICT organizations and acquired a professional certification in Cloud Computing Engineering. In 2024, he completed a Master’s in Information Technology Systems (MITS), specializing in Networking Technology and Security from ABU Zaria. Currently, he is employed with the Federal Capital Territory Administration (FCTA). He can be contacted via email at successdgee@gmail.com.

Dugguh Sylvester Aondonenge, Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria

Dugguh Sylvester Aondonenge is a data analyst at Federal Inland Revenue Service, in 2017, he obtains a bachelor degree in Computer Science from Federal University Kashere, Gombe State. He further advanced his studies in 2024 where he obtain a Masters degree in Information Technology (MIT) from Ahmadu Bello University, Zaria. His area of interest is Data Analysis and Machine Learning. He can be contacted via email at dugguhsylvester@gmail.com.

Lawal Abdulwahab Olugbenga , Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria

Lawal Abdulwahab Olugbenga is a student of Computer Engineering at Ahmadu Bello University, Zaria, Nigeria. He has a strong interest in system architecture and cloud computing. He is focused on developing his expertise in these areas. His academic journey is centered on understanding the design and structure of computing systems, with a goal to apply this knowledge in both practical and research settings. He can be reached via email at abdulwahabolugbenga@gmail.com.

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Published

2024-12-27

How to Cite

[1]
A. Umar, I. Abdulrazaq Imam, A. O.-O. Ore-Ofe, D. Daniel Emmanuel, D. Sylvester Aondonenge, and L. Abdulwahab Olugbenga, “Assessing the Strategic Impact of Artificial Intelligence - Robotic Process Automation on Enterprise Architecture in the Telecommunications Industry”, Vokasi Unesa Bull. Eng. Technol. Appl. Sci., vol. 1, no. 3, pp. 28–40, Dec. 2024.

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Vol. 1 No. 3 (2024): (In Progress)

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